Vide Item No 640R The revised syllabus of ME Biomedical Engineering Sem I to IV CBCS REV 2022 Scheme

Vide Item No 640R The revised syllabus of ME Biomedical Engineering Sem I to IV CBCS REV 2022 Scheme_1 Syllabus Mumbai University by munotes

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AC – 11 July
2022ItemNo. –
6.40(R)

UniversityofMumbai

RevisedSyllabusfor

M.E. (BiomedicalEngineering)

Semester –
(ItoIV)(ChoiceBasedCreditSyste
m)

(Witheffectfromtheacademicyear2022 -23)

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Program Structure for First Year Masters of
EngineeringSemesterI &II
UNIVERSITYOFMUMBAI
(WithEffect from2022 -2023)

Semester I

Course
Code
CourseName Teaching Scheme
(ContactHours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total

BMC101 BiomedicalSignal
Analysis
3
--
--
3
--
--
3
BMC102 Biomedical
Instrumentation 3 -- 3 -- 3
BMPE101 ProgramElective 1 3 -- -- 3 -- -- 3
BMPE102 ProgramElective 2 3 -- -- 3 -- -- 3
BMIE101 InstituteElective1 3 -- -- 3 -- -- 3
BML101 ProgramLab -I -- 2 -- -- 1 -- 1
BMSBL101 Skill BasedLab -I -- 4$ -- -- 2 -- 2
Total 15 06 -- 15 03 -- 18

Course
Code

CourseName ExaminationScheme
Theory
Term
Work Pract
/Ora
l
Total InternalAssessment End
Sem.Ex
am Exam.
Duration
(inHrs) Test-1 Test-2 Avg
BMC101 BiomedicalSignal
Analysis 20 20 20 80 3 -- -- 100
BMC102 Biomedical
Instrumentation 20 20 20 80 3 -- -- 100
BMPE101 ProgramElective 1 20 20 20 80 3 -- -- 100
BMPE102 ProgramElective 2 20 20 20 80 3 -- -- 100
BMIE101 InstituteElective1 20 20 20 80 3 -- -- 100
BML101 ProgramLab -I -- -- -- -- -- 25 25 50
BMSBL101 Skill BasedLab -I -- -- -- -- -- 50 50 100
Total -- -- 100 400 -- 75 75 650

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SemesterII

Course
Code CourseName TeachingScheme(ContactHours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total

BMC201 HealthcareD
atabase Mana
gement
System
3
--
--
3
--
--
3
BMC202 MedicalImaging&
ImageProcessing 3 -- 3 -- 3
BMPE201 ProgramElective 3 3 -- -- 3 -- -- 3
BMPE202 ProgramElective 4 3 -- -- 3 -- -- 3
BMIE201 InstituteElective2 3 -- -- 3 -- -- 3
BML201 ProgramLab -II -- 2 -- -- 1 -- 1
BMSBL20
1 SkillBasedLab -II -- 4$ -- -- 2 -- 2
Total 15 06 -- 15 03 -- 18

Course
Code

CourseName ExaminationScheme
Theory
Term
Work Pract
/Ora
l
Total InternalAssessment End
Sem.
Exam Exam.
Duration
(inHrs) Test-1 Test-2 Avg

BMC201 HealthcareDatabas
e
Management
System
20
20
20
80
3
--
--
100
BMC202 MedicalImaging&
ImageProcessing 20 20 20 80 3 -- -- 100
BMPE201 ProgramElective 3 20 20 20 80 3 -- -- 100
BMPE202 ProgramElective 4 20 20 20 80 3 -- -- 100
BMIE201 InstituteElective2 20 20 20 80 3 -- -- 100
BML201 ProgramLab -II -- -- -- -- -- 25 25 50
BMSBL20
1 SkillBasedLab -II -- -- -- -- -- 50 50 100
Total -- -- 100 400 -- 75 75 650
Note 1: Skill Based Lab - I and II are focused on the learning through experience. SBL shall facilitate the learner
toacquire the fundamentals of practical engineering in his or her specialization in a project -oriented environment.
Thelearningthroughskillbasedlabscanbeusefulinfacilitatingtheirresearchworkandh enceusefulinearlycompletionoftheir
dissertation work.

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SemesterIII

Course
Code
CourseName Teaching
Scheme(Contact
Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
BMMP301 MajorProject:
Dissertation -I -- 20 -- -- 10 -- 10
Total 00 20 00 00 10 -- 10

Course
Code

CourseName ExaminationScheme
Theory
Term
Work
Pract/
Oral
Total InternalAssessment End
Sem.
Exam Exam.
Duration
(inHrs) Test-1 Test-2 Avg
BMMP301 MajorProject:
Dissertation -I -- -- -- -- -- 100 -- 100
Total -- -- -- -- -- 100 -- 100
OnlineCreditCourses

Course
Code
CourseName Teaching
Scheme(Contact
Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
BMOCC301 OnlineCreditCourse -I -- -- -- -- -- -- 3
BMOCC302 OnlineCredit Course -II -- -- -- -- -- -- 3
Total -- -- -- 00 00 00 06
Note2: It ismandatory tocompletethe Online CreditCourses (OCC)available onNPTEL / Swayam /MOOC
orsimilarplatformapprovedbyUoM.ThesetwocoursesshallbecompletedinanysemesterIorIIorIII,butnotlaterend of the
Semester III. University shall make a provision that credits earned with OCC - I and OCC -II shall beaccounted in the
third semester grade -sheetwith actual names of courses. The learner shall be allowed to take up thesecourses from his
or her institute or organisation/ industry where his / her major project is carried out. The students shallcomplete the
courses and shall qualify the exam conducted by the respective authorities/ instructor from the
platform.Thefeesforanysuch courses andthecorrespondingexa minationshallbe borne bythelearner.

OnlineCreditCourse –I
The learner shall opt for the course in the domain of Research Methodology or Research & Publication Ethics or
IPR.Theopted course shallbe of 3 creditsof equivalentnumberof weeks.

OnlineCreditCour se–II
The learner shall opt for the course recommended by Faculty Advisor/ Project Supervisor from the institute. The
optedcourseshallbe of 3creditsofequivalentnumberofweeks.

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Semester IV

Course
Code
CourseName Teaching
Scheme(Contact
Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
BMMP401 Major Project
:Dissertation -II -- 32 -- -- 16 -- 16
Total -- 32 -- -- 16 -- 16

Course
Code

CourseName ExaminationScheme
Theory
Term
Work
Pract/
Oral
Total Internal Assessment End
Sem.
Exam Exam.
Duration
(inHrs) Test-1 Test-2 Avg
BMMP401 MajorProject:
Dissertation -II -- -- -- -- -- 100 100 200
Total -- -- -- -- -- 100 100 200
Total Credits:
68Note3: TheDissertation -II submissionshallnotbepermittedtill thelearnercompletesalltherequirementsMEcourse.
Note 4: The contact hours for the calculation of load of the teacher for Major Project are as
follows:MajorProjectDissertation Iand II -02Hour /week/student

GuidelinesforassessmentofDissertation -I
Students shoulddoliteraturesurveyandidentifytheproblemforDissertationandfinalizeinconsultationwithGuide/Supervisor.
Students should use multiple literatures and understand the problem. Students should attempt solutionto the problem by
analytical/simulation/experime ntal methods. The solution to be validated with proper justification andcompilethe
reportin standardformat. GuidelinesforAssessmentofDissertation -I.

Dissertation -Ishouldbe assessedbased onfollowingpoints
 Qualityofliteraturesurveyand noveltyintheproblem
 Clarityofproblemdefinitionandfeasibilityofproblemsolution
 Relevancetothespecialization
 Clarity ofobjectiveand scopeDissertation -Ishould beassessedthroughapresentationby
apanelofinternalexaminersandexternal examiner appointedbytheHead ofthe
Department/Institu teofrespectiveProgramme.

GuidelinesforassessmentofDissertationII
DissertationIIshouldbeassessedbasedonfollowingpoints:
 Qualityofliteraturesurveyandnoveltyintheproblem
 Clarityofproblemdefinitionandfeasibilityofproblemsolution
 Relevancetothespecializationor currentresearch/industrial trends
 Clarityofobjectiveandscope
 Qualityofworkattemptedorlearnercontribution
 Validationofresults
 Qualityofwrittenandoralpresentation

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StudentsshouldpublishatleastonepaperbasedontheworkinreferredNational/International conference/Journalofrepute.
DissertationIIshouldbeassessed byinternalandExternalExaminers appointedbytheUniversityofMumbai.

ProgramElectiveCourses

Subject
Code Department
LevelOptionalCo
urse-I Subject
Code Department
LevelOptionalCou
rse-II
BMPE1011 EmbeddedSystemsin
BME BMPE2011 Bio-rheology
BMPE1012 BiomaterialsandImplants BMPE2012 RoboticsinBiomedical
Engineering
BMPE1013 Telemedicine BMPE2013 NeuralNetworks
ApplicationsinMedicine
BMPE1021 Basicsof Human
Anatomy&Physiology BMPE2021 Computer Networkingin
Medicine
BMPE1022 BiomedicalInformatics BMPE2022 Lasersand FiberOptics
inMedicine
BMPE1023 HospitalManagementand
InformationSystem BMPE2023 InternetofThingsin
Medicine

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SubjectCode SubjectName Credits
BMC101 BiomedicalSignal Analysis 03

CourseObjectives:
 Tobuild astrongbaseinunderstandingbiomedical signals
 Todevelop competencyinanalyzingthe processingthe biomedical signals
 Totrainandmotivateforhighereducationandresearchinordertomakecontributiontostateoftheart
health carefor all
CourseOutcomes: Learnerwillbeableto
 Understandthefundamentalsofbiomedicalsignals
andtheiranalysisforextractingthediagnosticinformation
 Understandthetime -domainandfrequency -domainfilteringforremovalofartifacts
 Understandandimplementthetechniquesfordetect ionofeventsandCorrelationanalysisofEEGrhyt
hms
 Understandthe frequencydomaincharacterization:Modelingthebiomedicalsystems.

Module Contents Hours
1 Introductiontobiomedicalsignals: Natureofbiomedicalsignals;Actionpotentials;Ele
ctroneurogram; Electrocardiogram;Electrogastrogram;Phonocardiogram; Carotid
pulse; Signal from catheter -tip sensors; Speech
signal;Vibromyogram;Vibroarthogram;Bio -acousticsignals;Objectiveofbiomedical
signalanalysis;Difficultiesinbiomedicalsignalanalysis. 5
2 Concurrent, coupled and correlated processes: ECG and PCG; PCG and
carotidpulse;ECGandatrialelectro -
gram;Cardiorespiratoryinteraction;Heartratevariabilityanditsimportance;EMGandV
MG;Kneejointandmusclevibration
signals;SegmentationofPCG;Diagnosisandsleepapne a. 5
3 Fundamental concept of filtering: Linear shift -invariant filters; Transform
domainanalysis of signals and systems; Pole -zero plot; Discrete Fourier transform
and itsproperties.Random, structuredand physiologicalnoise; Casestudies.
FilterDesigns: Synchronizedaveraging,MAfilters,Derivative -basedoperatorsto
remove low -frequency noise; Specifications of filters; Butterworth low pass
andhighpassfilters;Wienerfilter;Adaptive filters. 8
4 Detection of events: Problems with case studies; Detection of events and
waves;Derivative -basedmethodforQRSdetection;Pan -
TompknsalgorithmforQRSdetection;Detectionofdichroticnotch;DetectionofEEGrhyt
hmsrelatedto
seizure;CoherenceanalysisofEEGchannels;Homomorphicfiltering. 8
5 Analysisofwaveshapeandwaveformcomplexity: QRScomplexincaseofbundle -
branchblock;EffectofmyocardialischemiaandinfractiononQRSwaveshape;Ectopicbe
ats;complexityofEMGinterferencepattern;PGintensitypattern;AnalysisofERO;Morp
hologic analysis of ECG;Correlation coefficient;Minimum phase correspondent and
signal length; ECG waveform analysis; Envelope extraction and
analysis: Amplitude modulation; Synchronized
averagingof PCG envelopes; 8
6 Frequency domain characterization: Myocardial elasticity; Heart sound
spectra;Frequency analysis of murmurs to diagnose valvular defects; Estimation of
PSD;MeasuresfromPSD;Spectralanalysis of EEG. 5

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Assessment
InternalAssessmentconsistsoftwotestsoutofwhich;oneshouldbecompulsoryclasstest(onminimum02Modules)andtheoth
eriseitheraclasstestorassignmentonlive problems or course project.

TheoryExamination :
1. Questionpaperwillcompriseoftotal06questions,eachcarrying20marks.
2. Total 04questionsneedtobesolved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein sub -questions
ofmarkswillbeasked.
4. Remainingquestionswill berandomlyselectedfromall themodules.

TextBooks:

1. Biomedicalsignalanalysis,SecondEdition,RangarajM.Rangayyan,IEEEPress445HoesLanePiscataway,
NJ

ReferenceBooks:

1. BiomedicalTransducersandInstruments byTatsuoTogawa, ToshiyoTamura,P.Ake Oberg
2. Medical Instrumentation Applications and Design, John G. Webster, 3rd edition John Wiley and
Sons.Inc. 1999

UsefulLinks:
1 Biomedical Signal
Processing https://nptel.ac.in/courses/
108105101

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SubjectCode SubjectName Credits
BMC102 BiomedicalInstrumentation 03

CourseObjectives:
 Tomakestudentstounderstandvarioustypesofmedicalinstruments,theirworkingprinciples,and
applications. 
 Toteach thestudents design conceptsof someofthe monitoringequipments. 
 Tomakestudentstoknowaboutlifesavingandsurgicalequipmentsusedinemergency,ICU,ICCUuni
ts.
 Tostudyclinical laboratoryinstruments. 
 Tounderstandpulmonaryfunctionandassessment. 
 Tolearnsafetyaspectsoftheinstruments frompatient‟sviewpoint. 
Courseoutcome:
 Studentscandesign electro -diagnosticinstruments. 
 Learnerhasunderstooduseofmedicalequipmentinvariousdepartmentsinthehospital. 
 Learnercandesigninstrumentsusedfordiagnostic,therapeutic,diagnosis,monitoringpurposes. 
 Alearner willbe abletoapply hisknowledgeinlaboratoryinstruments. 
 Analyzepulmonaryfunction. 
 Implementsafetystandardsin biomedicalequipments. 

Module Detailedcontent Hours

1 Biophysicalsignals: Actionpotentials;BiophysicalsignalssuchasECG,EMG,EEG;
Electrodesandacquisitionsystems; clinicalaspects;variabilityanalysis;impedanceplethysm
ography&cardiography;photo plethysmography&applications.
09
2 Patientmonitoring: ECG,bloodpressure,temperature,respiration,oxygensaturationandca
rdiac outputmonitoring. 06
3 Life-
savingequipment: Cardiac pacemaker;Defibrillator;Hemodialysis;anaesthesiamachines. 06

4 Clinical laboratory instruments: Spectrophotometry; Flame
photometry;Automatedbiochemicalanalysissystem;Electrophoresis;ELISA;
Chromatography;pH
meters; BloodO2andPCO2measurement
06
5 Pulmonary function analysis: Respiratory parameters;
Spirometry; Pneumotachometers;Measurementof volumes;Ventilator. 06
6 Patientsafety: Electric shock hazards;Leakage currents; Safety codes for
biomedicalequipments; Electricalsafetyanalyzer;Testingofbiomed icalequipment. 06

Assessment
Internal:
Assessmentconsistsoftwotestsoutofwhich;oneshouldbeacompulsoryclasstest(onaminimumof02modules)and
theotheriseitheraclass test orassignment onliveproblems or course projects.

End Semester Examination: Question paper comprises of 4 questions each carrying 20 marks. Question no.
1comprises ten small multiple choice questions (2 marks each). Question nos. 2 -4 comprise either 6
shortquestions(5 marks each)or3 longquestions(10 markseach);studentcansolve any4 or2 respective ly.

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TextBooks:
1. MedicalInstrumentation:Application&Design,JGWebster
2. IntroductiontoBiomedicalEquipmentTechnology,Carr&Brown,PearsonEducation
3. Handbook of Biomedical Instrumentation, RS Khandpur, 3rd Edition, McGraw Hill Education (India)
Pvt.Ltd.
ReferenceBooks:
1. BiomedicalEngineeringDesignHandbook,2nded,volI&II,Myer Kutz,McGrawHill
2. PrinciplesofAppliedBiomedicalInstrumentation,Geddes&Baker,JohnWiley

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SubjectCode SubjectName Credits
BMPE1011 EmbeddedSystemsinBiomedicalEngineering 03

CourseObjective:
 ToprovidefundamentalknowledgeofEmbeddedSystem
 Toteacharchitectureand communicationprotocolsusedforES
 Toprovideknowledgeof various versionsofARM processors anditshardware.
 ToteachprogrammingofARMprocessorusingASMandembedded„C‟
 Toteach applicationdevelopmentwithARMprocessor.
 Toteachdigitalinstrumentation.
CourseOutcome:Thelearnerwill
 knowarchitectureofARMprocessor.
 beacquaintedwithdifferentversionsofARMprocessors
 beabletoprogramARMprocessorsinASMand embedded„C‟.
 useARMprocessorsfor variousapplicationsofembeddedsystem.
 applydigitalinstrumentationforpractical applications.

Module Detailedcontent Hours

1 Introductiontoembedded system
Introductiontoembeddedsystem;Embeddedsystemarchitecture;Characteristics
& classification of embedded systems; Challenges and
designissuesinembeddedsystems;Fundamentalsofembeddedprocessors;CISCvs.
RISC; FundamentalsofVon Neumann&Harvardarchitectures.

04

2 Embeddedhardware
Introduction to embedded architecture; Embedded cores; Types of
Memories; sensorinterface.
Communicationinterfaces
Comparative study of serial communication interfaces (RS -232, RS -485),
SPI,12C, CAN, USB, Wired LAN (Ethernet) (IEEE 802.3), Wireless LANs
&Long -DistanceComm.;WirelessFidelity -LoRAMesh;Selectioncriteriaof
aboveinter faces.

06

3 ARMarchitecture
ARMfamilycorearchitecture;Versionsandvariants;Programmer‟smodel;
Programstatusregisters;Barrelshifter;Datatypes;Nomenclature;Processormodes;P
ipeliningconcept.
08

4 ARMprocessor programming
Addressingmodes;ARMInstruction set;Thumbprogrammer‟smodel&
thumbinstructionset;SimpleASM/Cprograms.
08

5 Interfacingexamples
ARMprocessorinterfacingwithkeypad,LCD,steppermotoretc.;Completeapplicati
onlikeensemble averaging
08

6 Digitalinstrumentation
Summation -
deltaADC‟s;Digital instrumentationexamples,ADS1298forECG,AFE4300forBC
A(bodycompositionanalysis)&AFE4490for
oxygensaturation.
05

Assessment
InternalAssessmentconsistsoftwotestsoutofwhich;oneshouldbecompulsoryclasstest(onminimum02

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Modules)andtheotheriseither aclass test orassignment onliveproblemsorcourseproject.

TheoryExamination :
1. Questionpaperwill compriseoftotal06questions, eachcarrying20marks.
2. Total04 questions needto be solved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein sub -question s
ofmarkswill be asked.
4. Remainingquestionswillberandomlyselected from allthemodules.

BooksRecommended:
Textbooks:
1. Embeddedsystems –Architecture,programmingandDesign,byRajkamal,TataMcGrawHill
2. EmbeddedReal -TimeSystemsprogrammingbySriramIyer,PankajGupta,Tata McGrawHill

ReferenceBooks:
1. AnEmbeddedSoftwarePrimer byDavidESimon,PearsonEducation
2. ARMArchitectureReferenceManual
3. WilliamHohl:„ARMAssemblyLanguage‟FundamentalsandTechniques
4. SteveFurber:„ARMsystemonchiparchitecture‟,AddisionWesley
LinksforNPTELLectures:
1. https://nptel.ac.in/courses/108/102/108102045/
2. https://nptel.ac.in/courses/106/105/106105193/

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SubjectCode Subj ectName Credits
BMPE1012 BiomaterialsandImplants 03

CourseObjectives:
 To understandwhat biomaterials are,whatare they made of, types of materials usedfor
making bio -implants and in which all conditions of the body they are used. Also
itemphasizes on various techniques to understand how the properties of these
materialsarestudied.

CourseOutcomes:
 A leaner can design an implant as per the need and alsowill know
itscompatibility,what all complications it can lead to. Also understand how a
biomaterial im proves thequalityof life and enhances the aesthetic looks ofan
individualtoo.

Module Detailedcontent Hours
1 Introduction: Introduction of biomaterials; Classification of biomaterials;
Thermal,mechanical andbiologicaltestingof biomaterials. 06

2 Physiologicaldefensemechanismsofthebodyagainstbiomaterials: Inflammationand
woundhealing;Bloodclottingsystem;Immunesystem;Complement system.
05

3 Propertiesandapplicationsofbiomaterials: Tantalum,Platinumandothernoblemetals
.
Biopolymers: Collagen,Elastin, Mucopolysaccharides,Proteoglycans,Celluloseandot
herderivatives,Chitinand other polysaccharides.
08

4 Cardiovascular implants and extracorporeal devices: Vascular implants;
Cardiacpacemakers; Bloodsubstitutes; Extracorporealbloodcirculationdevices
04

5 Biomaterials in opthalmology: Contact lenses; Optical implants; Drainage tubes
inglaucoma; Vitreousimplants;Acrylateadhesives;Artificialtears.
Dental materials: Tooth composition and mechanical properties;
Impressionmaterials, bases, liners and varnishe s for cavities; Fillings and
restorative materialsforcavities;Oralimplants;Collagenindentistry.

08

6
Techniques for characterization of surface properties of biomaterials:
Electronspectroscopyforchemicalanalysis(ESCA);Secondaryionmassspectrometry (S
IMS);Surfaceinfraredtechniques;Transmissionelectronmicroscope(TEM);Scanningel
ectronmicroscope(SEM);Scanningtunnelingmicroscope(STM);Atomic force
microscope(AFM), Surface enhanced Raman spectroscopy (SERS);Highresolution
electron energylossspectroscopy(HR EELS).

08

Assessment
InternalAssessmentconsistsoftwotestsoutofwhich;oneshouldbecompulsoryclasstest(onminimum02Modules)andtheoth
eriseitheraclasstestorassignmentonlive problems or course project.

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SubjectCode SubjectName Credits
BMPE1013 Telemedicine 03

CourseObjectives:
 It emphasizes on various types of signals that are transmitted from one region
toanother by various communications and networking techniques, how data is
exchangedandthe safetyand securityof data is achieved.

CourseOutcomes:
 TelemedicineplaysawideroleinBiomedicalengineeringandtheleanercanunderstandhowt
histechniquecanbeutilizedinphysiologicaldatatransfer,particularlyCardiacsignals in
ambulatory conditions.

Module Detailedcontent Hours
1 Introduction: Historyoftelemedicine;Blockdiagramoftelemedicinesystem;Definition
ofbenefitsand limitations oftelemedicine. 04

2 Typeofinformation :Audio,video,stillimages,textanddata,fax,medicalinformation stor
ageandmanagement;Patientinformationmedicalhistory,testreports,medicalimagesdiag
nosisandtreatment;Informationondoctors,paramedics,facilitiesavailableandpharmace
uticalinformation.
Type of communications and network , PSTN, POTS, ANT, ISDN; Internet,
air/w irelesscommunications,GSMsatellite,andmicrowave;Differentmodulationtechni
ques;.Realtime telemedicine.

08

3 Dataexchange: Networkconfiguration;Circuitandpacketswitching;H.320series
(videophonebasedISBN);T.120,H.324(videophonebasedPSTN);Video conferencing.
06

4 Data security and standards: Encryption, cryptography, mechanisms of
encryption,phasesofencryption;Protocols:TCP/IP,ISO -
OSI;StandardstobefollowedDICOM, HL7.
06

5 Ethicalandlegalaspectsoftelemedicine: Confidentialityandthelaw;patient
rightsandconsent;Accesstomedicalrecords;Consenttreatment,jurisdictionalissues;
Intellectualproperty rights.
07
6 Applicationsoftelemedicine 08

Assessment
InternalAssessmentconsistsoftwotestsoutofwhich;oneshouldbecompulsoryclasstest(onminimum02 Modules)andtheoth
eriseitheraclasstestorassignmentonlive problems or course project.

TheoryExamination :
1. Questionpaperwill compriseoftotal06questions, eachcarrying20marks.
2. Total04 questions needto be solved.
3. Question No: 01 will be compulsory and based on e ntire syllabus wherein sub -questions
ofmarkswill be asked.
4. Remainingquestionswillberandomlyselected from allthemodules.

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TextBooks:
1. Olga(EDT)Ferrer –Roca, M.Sosa(EDT) IudicissaHandbookofTelemedicine IOSpress

ReferenceBooks:

1. A.C.Norris,Essentials ofTelemedicineandTelecareJohnSons&Ltd,2002Reference http://jnt
u.ac.in/dap/syl.html

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Subject SubjectName Credit
BMPE1021 BasicsofHumanAnatomy&
Physiology 03

CourseObjectives:
 Tounderstand the human anatomyand functions ofvarious bodystructures.
 Tounderstanddifferentphysiologicalprocessestakingplaceinsidehuman body.
CourseOutcomes:
 Studentwill bewell versed withtheanatomyandphysiologyofhuman body.
 He/shewillbeabletocorrelatetheknowledgeofmedicineand engineeringfordevelopmentof
various instruments.
Module DetailedContents Hours
1. Introduction to human body: Homeostasis;Blood composition,
functionsofblood,functionsofRBC,WBCandplatelets;Physical&physiological
properties ofblood 05

2. Transport mechanism in cell and generation of action potential:
Structure&functionsofcell;Cellulartransport(activeandpassive);Diffusion,osm
oticpressure,bodyfluidcompartments;Originofcellmembrane
potential,actionpotential.
06
3 Cardiovascular system: Anatomy of heart; Anatomy of vessels;
Cardiacoutput;Heartsounds;Dynamicsofheart;Systemicandpulmonarycirculati
on;Bloodpressure&itsregulation;ECG ,intra-cardiacECG,
normalECG,methodforrecordingECG,leads; Cardiacarrhythmias.
09
4 Respiratorysystem: Anatomyof lungs,Partsofrespiratorysystem;Organizationof
ventilation;Diffusion,gasexchange;Measurementoflung
volumes&capacities. 05

5 Musculoskeletal system and central nervous system: Anatomy of
brain,spinal cord,organization & functions receptors, synapses, reflexes;
ANS,PNS,ascending&descendingtracts;Skeletonanatomy,structure&functions
ofnerve&muscle,mechanismofmusclecontraction;Neuro -
musculartransmissionandprocessingofinformation.
07
6 Endocrinesystem: Secretionandfunctionofpituitarygland,hypothalamus,
thyroidgland,parathyroidglands,adrenalglands,pinealgland&thymusgland;
Hormonaldisorders. 07

Assessment
InternalAssessmentconsistsoftwotestsoutofwhich;oneshouldbecompulsoryclasstest(onminimum02Modules)andtheoth
eriseitheraclasstestorassignmentonlive problems or course project.

TheoryExamination :
1. Questionpaperwillcompriseoftotal06questions,eachcarrying20marks.
2. Total04questionsneedtobesolved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein sub -questions
ofmarkswillbeasked.
4. Remainingquestionswill berandomlyselectedfromall themodules.

Text Books
1. AnatomyandPhysiologyinHealthand Illness: RossandWilson.(ELBSPub)
2. TextbookofBiomedicalPhysiology –A.C. Guyton

Page 21

ReferenceBooks
1. AppliedPhysiology -C.A.KeeleandEricNeil Samson,Wrig hts
2. ThePhysiologicalBasisofMedicinePractice -.Herbert Best CharlesandNormanTailo

Page 22

SubjectCode SubjectName Credits
BMPE1022 BiomedicalInformatics 03

CourseObjectives:
 To understand various concepts like medical records, data acquisition and
computing.It also helps in understanding how patient care monitors are helpful in
acquiring dataandunderstandingthe importance and thegeneration ofcertain algorithms

CourseOutcomes:
 This helps in the Analysis and interpretation of various biological data with the help
ofmedical records, mathematical analysis and computing. it is widely used in Tele
healthsectortoo.

Module Detailedcontent Hours

1 Introduction: Origins of biomedical informatics; Relationship of biomedical
informaticstootherfields. IntroductiontoBiomedicalInformaticsResearchMethodology;
Datadrivenmedicine.
06

2 ComputerbasedMedicalRecords: Biomedicaldataacquisition;Patientcaresystems and
patient monitoring systems; Storage and use of computer based
medicalrecords.Representations andalgorithmsforcomputational molecularbiology.

06
3 DataMining: Introductiontodatamining;Basicaspectsofdatameasurement;
Typesofvariables,Visualizationand data exploration. 06
4 InformationRetrieval: Basicprinciplesofinformationretrievalandsearch; Document
classificationalgorithms;Document clusteringalgorithms. 06

5 Fitting Models: Basic principles of fitting models to data, Classification
Algorithms;Regression algorithms; Computational methods for biomedical image
analysis andinterpretation.
06

6 Information Management: Management of information in healthcare
organizations,public health
informatics,healthinformationinfrastructure,consumerhealthinformatics,telehealthand
m-healthandfuture ofbiomedical informatics.
09

Assessment
Internal Assessmentconsistsoftwotestsoutofwhich;oneshouldbecompulsoryclasstest(onminimum02Modules)andtheoth
eriseitheraclasstestorassignmentonlive problems or course project.

TheoryExamination :
1. Questionpaperwillcompriseoftotal06questions,eachcarrying20marks.
2. Total0 4questions needtobesolved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein sub -questions ofmarks will
beasked.
4. Remainingquestionswill berandomlyselectedfromall themodules.

TextBooks:

1. PublicHealthInformaticsandInformationSystemsby D.A.Ross,A.R.Hinman,K.Saarlas,andW.H.
Foege (Hardcover – Oct16, 2002)

Page 23

ReferenceBooks:

1. Androwich, I.A., Bickford, C.J., Button, P.S., Hunter, K.M., Murphy, J., and Sensmeier, J.
(2002)Clinical Information Systems: A Framework for Reaching the Vision . Washington, DC:
ANAPublishing

Page 24

SubjectCode SubjectName Credits
BMPE1023 HospitalManagementandInformationSystem 03

CourseObjectives:
 It deals with computerized management of patient data, importance of computers
inclinicallaboratory,how computerscanhelpinassistingdoctorstotakemedicaldecisions,ro
leof computers inconducting/performingtherapy.

CourseOutcomes:
 WiththeApplicationofComputersinmanyfields,particularlyinthehospitals,various
Medical decisions have become much faster and patient‟s life safety is alsomuch more
improved. Also at any given point of time, all possible medical data is alsoavailablein
hospital dueto computerization.

Module Detailedcontent Hours

1 Introduction to database management systems: Database system
applications;Database system versus file system; View of data, data models,
database
language,databaseusersandadministrators;Transactionmanagement,databasesystemst
ructures,application architectures.
06

2 Hospitalinformationsystem: Introduction, functionalcapabilitiesofacomputerized
HIS; Need for computerizationinhospitals;Securityofcomputerrecords; Cost
effectiveness of information processing by computer; Sources of
datafordecisionmaking;Modesofdecisionoutputtophysician;Regenstriefcomputerized
medicalrecordsystem;ComputerDBMSinobstetrics -gynecology; Computerbased
morbidityregisters.

06

3 Computerizedpatientdatabasemanagement: Introduction;History taking
bycomputer, dialogue with the computer, methods of history taking by
computers;Patientdatabas emanagementbycomputers;Computerizedmedicalrecordev
olution.
06

4 Computersinclinicallaboratory: Introduction;Databaseapproachtolaboratorycomput
erization; Automated clinical laboratories, automated methods inhematology,
chromosome analysis by computer; Computerized
electrocardiography(ECG);AssessmentofperformanceofECGcomputerprograms;
Computerizedelectroencephalography; Computerized electromyography.

09

5 Computerassistedmedicaldecisionmaking: Introduction;GeneralmodelofCMD,
algorithmic methods, statistical pattern classification, decision analysis, fuzzyset
theory, production rule systems, cognitive models, internist, QMR, KES; A
rulebaseddecisionaidforTIA;Computersinthecareofcriticallyillpatients;Automated
computerassistedfluidandmetabolicbalanc e;Pulmonaryfunctionevaluation;
Cardiovascularphysiologicevaluation.

06

6 Computer assisted therapy: Introduction; Digitalis therapy, evaluation of
patientresponse,assessingdigitalistoxicity;Computersforcareofrenaldisorders;Comput
er based cancer chemotherapyprotocoladvisor - oncocin;
Automateddrugdelivery;Electromyogeniccontrolledlimbs;Computeraidsforthehandic
apped: mobility, blind and visually handicapped, computer aids for the
deaf,computer speechgeneration andrecognition.

06

Page 25

Page 26

SubjectCode LaboratoryName Credits
BML101 ProgramLaboratoryI 01

Module Practical basedon
1 DC-to-DCconverterdesign
2 Studyof LVDT
3 Designandimplementationofanalogfilters(LP,HP,BP)forbio -signalconditioning
4 Designandimplementationofmedicalthermometer
5 Designofcurrentsources
6 Studyofvariouscharacteristicsofsensors
7 Interfacingmsp430 launchpad / Arduino.
8 Designandimplementationofbio -potentialamplifier

Termwork: Termworkconsistsofperforming08practicalmentionedasabove.Finalcertificationandacceptanceof the
termworkensuressatisfactoryperformance oflaboratorywork.

Assessment:

EndSemesterExamination: Practical/Oralexaminationtobeconductedbyinternalandexternalexaminers.

Page 27

SubjectCode LaboratoryName Credits
BMSBL102 SkillBasedLaboratoryI 02

Module Practicalbasedon
1 R-wavedetectioninECG
2 Timedomainheart ratevariability
3 Frequencydomainheartratevariability
4 Nonlinearvariability
5 GUIdesign
6 Readingfilesandvisualization
7 Featuresextraction
8 Interpolation

Term work: Term work consists of performing 08 practical mentioned as above. Final certification
andacceptanceof the termworkensuressatisfactoryperformanceoflaboratorywork.

Assessment:

EndSemesterExamination: Practical/Oralexaminationistobeconductedbyinternalandexternalexaminers.

Page 28

SubjectCode SubjectName Credits
BMC201 HealthcareDatabaseManagementSystem 03

CourseObjective:
 To understand various features like hospital management, planning and design of
variousdivisionsinahospital.Alsoemphasisisgiven on patientsafetyandcertainLegal aspects
CourseOutcome:
 The leaner will be able to understand the complete designing of the hospital, its safety
forpatients, Also helps in understanding the supporting units in a hospital and hoe to deal
variouslegalmatters in ahospital

Module Detailedcontent Hours

1 Introductionto management: Basic
managementprinciples;Processofmanagement;Ro
leof hospitaladministrator;
Computersinmedicine: Computersinbiomedicalapplications;Roleofcomputersindatacollec
tionandanalysis;Computeraideddecisionmaking;Computerbasedmedical
records;Dataanddatabas edadministration.
10

2 Planninganddesigning: Planninganddesignconsiderationsofvariousdept.likeOT,OPD,CSS
D,Nursingunit,ICUs,pathology,radiology,pharmacyandothers;
Developmentlifecycleandprototyping;Conceptualdesign.
09
3 Hospitalsafetyandmanagement: Securityandsafetyofhospitalproperty,staffandpatients;
Importanceof disastermanagement;Medicalcodes. 04
4 Patientsafety: Electricalbeds,doubleinsulationsystem,patientisolation,grounding,rectificati
onof groundfaults. 04
5 Hospitalservices: Clinicalservices; Supportiveservices;Auxiliaryservicesandancillaryservic
es. 09
6 LegalAspect: Healthinsurance;Qualityassurance;Medicolegalaspects;Medicalethics. 04

Assessment
InternalAssessmentconsistsoftwotestsoutofwhich;oneshouldbecompulsoryclasstest(onminimum02Modules) andtheoth
eriseitheraclasstestorassignmentonlive problems or course project.

TheoryExamination :
1. Questionpaperwillcompriseoftotal06questions,eachcarrying20marks.
2. Total04questionsneedtobesolved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein sub -questions
ofmarkswillbeasked.
4. Remainingquestionswill berandomlyselectedfromall themodules.

TextBooks:
1. ElectricalsafetyinHealthcarefacility –H.H.Roth
2. HospitalPlanning,DesignandManagement -Kunders

ReferenceBooks:

1. Biomedical Ethicsfor Engineers -DomielAVallero
2. Computer inMedicine – R.D.Lele

Page 29

SubjectCode SubjectName Credits
BMC202 BiomedicalImaging&ImageProcessing 03
CourseObjective:
 Identifytheroleof Imaginginclinicalpractice.
 Tostudytheoperatingprinciples,processesofimage acquisition,imagereconstruction,qualityContr
ol aspects,advantages andLimitationsof variousimagingmodalities.
 TokeepthestudentsabreastwiththetechnologicaldevelopmentsinthefieldofMedicalImaging.
 To be able tostudy aboutapplying differentDigitalImage processi ng techniques on a
givenimage.
 Todevelopcomputeraideddiagnosisinanalyzingandquantifyingbiomedicaldata.
CourseOutcome: Alearnerwillableto:
 Describeessentialphysics,principleandinstrumentationofX -rays andUltrasound.
 Apply their knowledge to understanding emerging Medical Imaging
Tomographic technologiesas CT, PET and SPECT.
 Describeessentialphysics,principle,pulsesequencesandinstrumentation ofMRI.
 Applyimageprocessingconceptsformedicalimagesandanalyzeimagesinthespatialdomain.
 Analyzeimagesinthefrequencydoma inthroughtheFouriertransform.
 Applytheconceptsofmorphologicaloperators,segmentation,featuresrecognitionandclassification
.

Module DetailedContents Hours

1 X-rayandultrasoundimaging: Basicphysicsofx -rays;X -raym/ccontrols;
Interaction of radiation with matter; X -ray imaging system; Flatpanel
detectors; Digital radiography; Digital mammography; Fluoroscopy;Clinical
applications; Basic physics of ultrasound; Interaction of
ultrasoundwithbiologicalmatter;Ultrasoundtransducerandprobes;Displaymo
des;
Dopplerul trasound;Realtimescanner;Clinicalapplications.

7

2 Tomographyimaging: Tomographicreconstructiontechniques;CTgeneration
s; Detectors; CT system; CT contrast; Image quality;
Artifacts;Clinicalapplications;WorkingprincipleandinstrumentationofSPECT
&
PET; hybridPET/CT;Clinicalapplications.
7

3 MagneticResonanceImaging(MRI): Relaxation
parametersandtheirmeasurements; Magnets, RF coils and gradients in MRI;
Slice selection,phase encoding, frequency encoding, pulse sequences: spin
echo,
inversionrecoveryand gradientrecalledecho;Clinicalapplications;Biologicalef
fects
andsafety.

7

4 Imageenhancementinspatialdomain: Fundamentalsofimageprocessing ;Poi
ntprocessingtechniques;Histogramprocessing;Neighborhoodprocessing;Logi
cal(Boolean)operations;Convolution -
based operations.
6

5 Imageenhancementinfrequencydomain :2D-DFT;Propertiesof2D -
DFT;Sampling;Frequencydomainfilters;Homomorphicfilters;Cross -
correlationandautocorrelation.
5
6 Imagerestoration,featurerecognitionandclassification: Morphological
operators; Extensiontograyscaleimages;Introductiontosegmentation, 7

Page 30

thresholding, region -basedandboundary -based methods; Objectrecognition
andclassification;Connectedcomponentslabeling;Featuresclassification;Struct
ural/syntacticclassification.

Assessment
InternalAssessmentconsistsoftwotestsoutofwhich;oneshouldbecompulsoryclasstest(onminimum02Modules)andtheoth
eriseitheraclasstestorassignmentonlive problems or course project.

TheoryExamination :
1. Questionpaperwillcompriseoftotal06questions,eachcarr ying20marks.
2. Total04questionsneedtobesolved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein sub -questions
ofmarkswillbeasked.
4. Remainingquestionswill berandomlyselectedfromall themodules.

.

TextBooks:
1. TheEssentialPhysicsofMedical Imaging,byJerroldTBushberg,J.AnthonySeibert,EdwinMLeidholdt,John
M Boone, Lippincott.
2. PhysicsofMedicalImaging,TaylorandFrancisGroup.
3. Christensen'sPhysicsofDiagnosticRadiology,by ThomasS.Curry ,JamesE.Dowdey ,RobertE. Murry.
4. ThePhysicsofDiagnostic Imaging,byDavidDowsett,PatrickAKenny, REugeneJohnston
5. DigitalImageProcessingforMedicalApplications,GEOFFDOUGHERTY,CambridgeUniversityPress.
6. DigitalImageProcessing,GonzalezandWoods -PearsonEducation

ReferenceBooks:
1. TheBiomedical EngineeringHandbook,Joseph D.Bronzino, CRCPress,SecondEdition.
2. Medical ImageProcessing,ReconstructionandRestoration,JiriJan ,Taylor&Francis

UsefulLinks:
Course1: IntroductiontoBiomedicalImaging
https://www.edx.org/course/introduction -to-biomedical -imaging
Course2: FundamentalsofBiomedicalImaging:Ultrasounds,X -
ray,positronemissiontomography(PET)andapplications
https://www.edx.org/course/fundamentals -of-biomedical -imaging -ultrasounds -x-r
Course3: NPTELCourseonMedicalImageAnalysis,Dr.DebdootSheet,IndianInstituteofTechnology,KharagpurCourse
Link :https://nptel.ac.in/courses/108/105/108105091
Course4 :NPTELcourse onDigitalImageProcessing -NPTEL Lecture VideosbyProf.P.K.Biswasfrom
IITKharagpur .http://www.nptelvideos.com/course.php?id=541

Page 31

SubjectCode SubjectName Credits
BMPE2011 Biorheology 03

CourseObjective:
 Tounderstandvariouscharacteristicsoftissuesuchaselasticity,Viscosity,Plasticityandtypesofvisc
osityand Stress strain characteristics of tissue.
 Alsohow tissuescan bemodeledwill beunderstood.

CourseOutcome:
 Fromtheterms elasticity,plasticityandviscosity,andusingStressStrainCurve,tissuemodelingcan
beachieved.

Module Detailedcontent Hours

1 Introduction: Introduction to rheology and recap of basic equations of
continuummechanics(kinematicsofdeformationandstressanalysis); Generaltheoryof
constitutive equations.
10

2 Tissue and cell elasticity:
Continuumapproach(lineartheory,nonlineartheory,strainenergyfunction,pre -
stress;examples);Microstructuralapproach(microstructuralmodelsoflivingtissues);Stat
isticalapproach (thermodynamics
ofelasticdeformation,rubberelasticity);Examples.
09
3 Tissueandcellviscoelasticity: Phenomenologicalapproach(stressrelaxation,creep,hyst
eresis,frequencyandtemperature effects);Examples. 06

4 Linear
viscoelasticity: Continuumapproach; Lumpedmodels;Empiricalmodels(powerlaw,fract
ionalcalculus);Structuraldamping;Microstructuralandmolecularapproach;Polymerchai
ndynamics; Examples.
06
5 Elements ofnonlinear viscoelasticity: Examplesof empirical, semiempirical
andmolecularapproachesin studies oflivingtissues. 04

6 Elementsoftissueplasticityandvisco -
plasticity: Permanentdeformation,hysteresis,yieldstress;Empiricalandlumpedmodelso
fplasticandvisco -plastic
behavioroflivingtissues.
04

Assessment
InternalAssessmentconsistsoftwotestsoutofwhich;one shouldbecompulsoryclasstest(onminimum02Modules)andtheoth
eriseitheraclasstestorassignmentonlive problems or course project.

TheoryExamination :
1. Questionpaperwillcompriseoftotal06questions,eachcarrying20marks.
2. Total04questionsneedtobesolved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein sub -questions
ofmarkswillbeasked.
4. Remainingquestionswill berandomlyselectedfromall themodules.

TextBooks:

1. Fung,Y.C.Biomechanics –MechanicalPropertiesofLivingTissues,2ndedition,Springer:NewYork, 1993.
2. Fung,Y.C.Biomechanics –Motion,FlowandGrowth,Springer: NewYork,1990.
3. Fung,Y.C.Biodynamics –Circulation,Springer,1984.

Page 32

4. Fung,Y.C.,N.Perrone,andM.Anliker(editors).Biomechanics –
ItsFoundationsandObjectives,Prentice -Hall:Englewood Cliffs, NJ,1972.
5. Mow,V.C. ,F.Guilak,R.Tran -Son-
Tay,andR.Hochmuth(editors).CellMechanicsandCellularEngineering,Springer:NewYork, 1994.
6. Mofrad,M.R.K.,andR.D.Kamm(editors).CytoskeletalMechanics:ModelsandMeasurements.C
ambridge UniversityPress:New York2006

ReferenceBooks:
1. M.R.King (editor).PrinciplesofCellularEngineering:UnderstandingtheBiomolecularInterface.Elsevi
erAcademicPress, 2006.
2. Abé,H.,K.Hayashi,andM.Sato(editors).DataBookonMechanicalPropertiesofLiving
Cells, Tissues,and Organs, Springer:Tokyo, 1996.
3. Silver, H. F. Biological Materials: Structure, Mechanical Properties, and Modeling of Soft Tissues,
NewYorkUniversityPress:NewYork, 1987.10. Ward, I.M. MechanicalProperties
ofSolidPolymers,2ndedition,Wiley: Chicester,1983
4. Turner,A.,Jr. MechanicalBehaviorofHighPolymers,Interscience :NewYork,1984.
5. Erich,F.R.(editor). Rheology –Theoryand Applications,Vol.1 -AcademicPress,1956

Page 33

SubjectCode SubjectName Credits
BMPE2012 RoboticsinBiomedicalEngineering 03

CourseObjective:
 ToUnderstandControlof actuatorsinRoboticMechanisms,
roboticsensorsandKinematicsofRoboticArms 
 Tomakethelearnerawareof fundamental conceptsof Robotics 
 Tomakelearner studydirect andInverseKinematics ofRobots 
 Tomakelearner knowtheTrajectoryandMotionplanning. 
 TomakethelearnerknowtheBiomedical applicationsofrobot ics

CourseOutcome: Ithelpsthelearnerto
 designaRobotforvariousapplicationslikesurgery,therapyandclinicalapplications. 
 describedirectandinversekinematicsofrobots. 
 describeworkspaceenvelop 
 plantrajectoryforrobots 
 applyvarious imageprocessingtools forrobotic manipulation 
 implementmotionplanningsolutionsusingvariousalgorithms 
 illustratemedicalapplicationsofrobotsUnderstand packagingtechniquesusedinMEMS 

Module Contents Hours
1. Fundamentals of robotics : Automation and robots; Robot classification;
Robot components;Robotspecification;Joints,coordinates,coordinateframes,workspa
ce,languagesandapplications.
Directkinematics: Dotandcrossproducts,co -
ordinateframes;Rotations;Homogeneouscoordinates;Linkco -
ordinates,armequationandarmmatrixderivation(twoaxis,threeax isandfouraxisscara);
Configurationoffiveaxisand
six axisrobots(armmatrixderivationandequationnotexpected). 07
2. Inverse kinematics: General properties of solutions of inverse kinematics;
Methodsfor finding solution; Tool configuration vector and inverse kinematics
solution fortwo axis, three axis and four axis robots. Workspace analysis; Work
envelope andexamples; Workspace fixtures; Trajectory planning; Joint -space
trajectory planning;Cartesian -space trajectories; Pick and place operations;
Continuous pa th motion;Interpolatedmotion;Straight -line motion. 08
3. Velocity kinematics & dynamics: Differential motions and velocities:
Differentialrelationship; Jacobian; Differential motion of a frame and robot; Inverse
Jacobian;Singularities;Dynamicanalysisof forces:Lagrangianmechanics;NewtonEule
r
formulation;Dynamicequationsoftwoaxisrobot. 07
4. Robotvision: Imagerepresentation;Templatematching;Polyhedralobjects;Shapeanalys
is;Segmentation;Iterativeprocessing;Perspectivetransform;Camera
calibration. 06
5. Task planning: Tasklevelprogramming;Uncertainty;Configurationspace;Gross
motionplanning;Graspplanning;Fine -motionplanning;Simulationofplanermotion;
Sourceand goalscenes;Taskplanner simulation. 06
6. Applicationsinbiomedicalengineering: Applicationin rehabilitation,clinicalmedicine
and surgery. 05

Page 34

Assessment
InternalAssessmentconsistsoftwotestsoutofwhich;oneshouldbecompulsoryclasstest(onminimum02Modules)andtheoth
eriseitheraclasstestorassignmentonlive problems or course project.

Theory Examination :
1. Questionpaperwillcompriseoftotal06questions,eachcarrying20marks.
2. Total04questionsneedtobesolved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein sub -questions
ofmarkswillbeasked.
4. Remainingquestionswill berandomlyselecte dfromall themodules.

TextBooks:
1. FundamentalsofRobotics -Analysisandcontrol,RobertShilling,PrenticeHallofIndia
2. IntroductiontoRobotics,SaeedBNiku,PearsonEducation
3. Robotics,Fu,GonzalesandLee, McGrawHill, SecondEdition,2011
4. “IntroductiontoRobotics –Mechanics& Control”JohnJ.Craig,PearsonEducation,India,(3rdEd)

ReferenceBooks:
1. RoboticsandAI,Staughard,PrenticeHall OfIndia.
2. IndustrialRoboticsGrover,Wiess,Nagel,Oderey,McGrawHill.
3. RoboticsandMechatronics,WalframStdder,McGrawHill,NewYork,2008
4. RobotEngineering,Klafter ,Chmielewski,Negin.PrenticeHallOfIndia.
5. RoboticsandControl.Mittal,Nagrath,TataMcGrawHillpublications

Page 35

SubjectCode SubjectName Credits
BMPE2013 NeuralNetworks 03

CourseObjective:
 To understand the basic concepts of artificial neural network (ANN),study the various
ANNModels, study single layer and multilayer feed forward neural networks, familiarize
about thesupportvector machineand adaptiveresonancetheory, studythebasic conceptsof
Fuzzysetsandsystem, learn ANNin biomedical applications

Cour seOutcome:
 ALearnerwillbeabletoapplyconceptsofANN
inBiomedicalapplications,applyconceptsofFuzzySets in Biomedical applications

Module Detailedcontent Hours

1 Introduction to neural networks: Introduction; Humans and
computers;Organizationofthebrain; Biologicalneuron;Biologicalandartificia
lneuronmodels;CharacteristicsofANN;McCulloch -Pittsmodel;
Historicaldevelopments;PotentialapplicationsofANN.

05

2 Essentialsofartificialneuralnetworks: Artificialneuronmodel;Operations
of artificial neuron; Types of neuron activation function;
ANNarchitectures;ClassificationtaxonomyofANNconnectivity;Learning
strategy(supervised,unsupervised,reinforcement);Learningrules.
07

3 Singlelayerandmulti -
layerfeedforwardneuralnetworks: Introduction;Classificationof perceptro
nmodels:Discrete,continuousand multi -category training and classification
using discrete perceptrons;Algorithm examples;Linearly separable
classifications; Multi -categorysinglelayerperceptron networks;
Linearlynon -separableclassification; Delta learning rule; Feed forward
recall and error back -
propagationtraining;Learningfactors;Kolmogorovtheorem;Learning
difficultiesandimprovements.

08

4 Specialnetworks: Introduction;Adaptiveresonancetheory(ART)fundamenta
ls; ART1, ART2; Support vector machine (SVM)
introduction;Optimalhyperplaneforlinearlyseparableandnon -
separablepatterns;
SVMforpatternrecognitionandnonlinearregression;Radialbasisfunctionnetw
orkarchitectureand trainingalgorithm.
07

5 Classical & fuzzy sets and fuzzy logic system components:
Introductiontoclassicalsets;Properties,operationsandrelations;Fuzzysets,me
mbership,uncertainty,operations,properties;Fuzzyrelations,cardinalities,me
mbershipfunctions,fuzzification,membershipvalueassignment;Dev elopmen
tofrulebaseanddecisionmakingsystem;
De-fuzzificationtocrispsets;De -fuzzificationmethods.

08

6 Neural networks applications in biomedical: Brain maker to
improvehospitaltreatmentusingadaline;BreastcancerdetectionusingARTnet
work;Accesscontrolby facerecognitionusingbackpropagationneural
network.
04

Assessment
InternalAssessmentconsistsoftwotestsoutofwhich;oneshouldbecompulsoryclasstest(onminimum02Modules)andtheoth
eriseitheraclasstestorassignmentonlive problems or course project.

Page 36

Theory Examination :
1. Questionpaperwillcompriseoftotal06questions,eachcarrying20marks.
2. Total04questionsneedtobesolved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein sub -questions
ofmarkswillbeasked.
4. Remainingquestionswill berandomly selectedfromall themodules.

TextBooks:
1. S.RajasekharanandG.A.Vijayalakshmipai,“NeuralNetworks,Fuzzylogic,Geneticalgorithms:
synthesisand applications”,PHIPublication, 2004.
2. JohnYenandRezaLangan,“FuzzyLogic:Intelligence,ControlandInformation”,PearsonEducat ion,2004.

ReferenceBooks:
1. SimonHaykin,“NeuralNetworks -Acomprehensivefoundation”,PearsonEducation,2001.
2. S.N.Sivanandam,S.Sumathi,S.N.Deepa“IntroductiontoNeuralNetworksusingMATLAB6.0”,TMH,2006.
3. JamesAFreemanandDavisSkapura,NeuralNetworksPearsonEducation, 2002.
4. TimothyJ.Ross,“FuzzyLogicWithEngineeringApplications”,McGraw -HillInc.1997.

Page 37

SubjectCode SubjectName Credits
BMPE2021 ComputerNetworking inMedicine 03
CourseObjective:
 TounderstandvarioustechniquesfordatacommunicationanddatatransferEnable theleanertoknowabout
Application LayerDataLinkLayerNetworkLayerTransportLayer

CourseOutcome:
 Learner will be able to apply his knowledge regarding computer networking takes place in medicine
byApplicationLayerDataLinkLayer NetworkLayer,TransportLayerin he althcare.

Module Detailedcontent Hours

1 Data communications: Components, direction of data flow networks;
Componentsand categories; Types of connections; Topologies, protocols and
standards - OSImodel,TCP/IP protocol.
05

2 Datatransmission: Transmissionmedia:coaxialcable,fiberoptics,linecoding;
Modems –
RS232interfacingsequencescircuitswitching,throughput,bandwidth,T1,ISDN, DSL.
05

3 Data link layer: Types of errors, error detection and correction methods;
Blockcodes, cyclic codes, checksum data link; Control protocols, stop and wait, go
back -NARQ,selective repeat ARQ,HDLC.Wired and wireless, connecting
LANs,Backbonenetworks LANLAN/WAN.
07

4 Networklayer: Internetworks;Packetswitchinganddatagramapproach;IP
addressing methods;Sub -netting,
routing,distancevectorrouting,linkstaterouting;Routers.
07

5 Transport layer: Duties of transport layer; Multiplexing, de -multiplexing;
Sockets;User datagram protocol (UDP); Transmission control protocol (TCP);
Congestioncontrol; Qualityof services (QOS).
Applicationlayer: Domainnamespace(DNS),SMTP,FTP,HTTP,WWW,SNMP.
11
6 Security concepts: System security in general; Authentication,
authorization,confidentiality,integrity, cryptography. 04

Assessment
InternalAssessmentconsistsoftwotestsoutof which;oneshouldbecompulsoryclasstest(onminimum02Modules)andtheoth
eriseitheraclasstestorassignmentonlive problems or course project.

TheoryExamination :
1. Questionpaperwillcompriseoftotal06questions,eachcarrying20marks.
2. Total04questionsneedtobesolved.
3. Questio n No: 01 will be compulsory and based on entire syllabus wherein sub -questions
ofmarkswillbeasked.
4. Remainingquestionswill berandomlyselectedfromall themodules.

TextBooks:
1.Computer Network –BehrouzA.Forouzan,McGrawHill.
ReferenceBooks:
1.Computer Networks –AndrewS.Tanenbaum

Page 38

SubjectCode SubjectName Credits
BMPE2022 LasersandFiberOpticsin Medicine 03

CourseObjective:
 ToUnderstandthebasicPhysicsofgenerationoflasers,TypesofLasers,itsconstruction,generalconst
ructionofOpticfiber, Modesandneed of Laser and fiberopticsinmedicine.

CourseOutcome:
 It enables the learnertounderstandthe Types of laser
anditsMedicalapplicationsandvarioussafetyaspects and troubleshooting

Module Detailedcontent Hours
1 Introduction: Historicalbackground;Medicallasers fundamentalprinciplesandadvances;
Laser safety;Interactionwith tissue; Laser assisteddiagnosis. 07

2 Singleopticalfibers: Introduction;Historicalbackground;Opticalfibersfundamentals;
Light transmission in optical fibers: principles, optical properties of optical fibers;
Fabrication of optical fibers, optical fibers for UV, visible, IR light;Power
transmission through optical fibers; Modified fiber ends and tips -
principles;Fiberlasers -advances.

08

3 Optical fiber bundles: Non-ordered fiber optic bundles for light guides
fundamentals&principles;OrderedfiberopticbundlesforimagingdevicesFundamentals&
principles; Fiberscopes and endoscopes fundamentals, fiber optic imaging
systemsadvances.
06
4 Applicationsoflasersintherapyanddiagnosis: Introduction;Laser assisteddiagnosisand
therapy -fundamentals; Interaction oflaserbeamsand materials. 06

5 Clinical applications of fiber optic laser system in medicine: Introduction,
Fiberopticlasersystemsincardiovasculardisease; Applications in
gastroenterology,gynecology, oncology,ophthalmology,orthopedics,otolaryngology(E
NT)andurology.
07

6 Clinical applications of fiber optic laser system in invasive procedures:
Minimalinvasive laser spine surgery; Neurosurgery; Flow diagram for laser
angioplasty &photodynamictherapy; Endoscopy.
05

Assessment
InternalAssessmentconsistsoftwotestsoutofwhich;oneshouldbecompulsoryclasstest(onminimum02Modules)andtheoth
eriseitheraclasstestorassignmentonlive problems or course project.

TheoryExamination :
1. Questionpaperwillcompriseoftotal06 questions,eachcarrying20marks.
2. Total04questionsneedtobesolved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein sub -questions
ofmarks will beasked.
4. Remainingquestionswill berandomlyselectedfromall themodules.

TextBooks:
1. Lasersand OpticalFibersinMedicine –AbrahimCatzirAcademicpress 1998.

Page 39

ReferenceBooks:
1. TherapeuticLasers –GDavidBaxter –ChurchillLivingstonepublications
2. MedicalLaserandtheirsafeuse –DavidHShinyStiffenandLTrokelSpringerPublications
3. ElementofFiberoptics –S.L.Wymer R egentsPHI

Page 40

SubjectCode DepartmentalElectiveCourse :SubjectName Credits
BMPE2023 InternetofThingsinMedicine 03

Courseobjectives:
 TounderstandsmartobjectsandIoTarchitectures.
 TolearnaboutvariousIoTrelatedprotocols.
 TobuildsimpleIoTsystemsusing Arduino&RaspberryPi.
 Tounderstanddata analyticsand cloudincontextof IoT.
 TodevelopIoTinfrastructureforpopular applications.

Courseoutcome: Learnerwillbeableto:
• Explaintheconceptof IoT.
• AnalyzevariousprotocolsforIoT.
• Design aPoCofandIoT systemsusing RaspberryPi/Arduino.
• ApplydataanalyticsandusecloudofferingsrelatedtoIoT.
• AnalyzeapplicationsofIoTinrealtimescenario.

Module DetailedContents Hours

1 FundamentalsofIoT: EvolutionofInternetofThings;Enablingtechnologies;IoT
architectures: oneM2M, loT World Forum (loTWF)
andalternativeloTmodels;SimplifiedloTarchitectureandcore;loTfunctional
stack.
6

2 IoT protocols: IoT access technologies: physical and MAC layers,
topologyand security of IEEE 802.15.4e, 1901.2a, 802.11ah & LoRaWAN;
Networklayer:IP versions,routingoverlowlossynetworks;Applicationtransport
methods:supervisorycontrolanddataacquisitionapplication;Layerprotocols:MQ
TT.
6

3 CloudplatformsforIoT: Virtualizationconceptsandcloudarchitecture;Cloudcom
putingbenefits;Cloudservices -SaaS,PaaS, IaaS,cloudproviders
&offerings;StudyofIoTcloudplatforms.
6

4 Engineering IoT networks: Functional blocks of an loT ecosystem,
sensors,actuators; Smart objects connecting; Smart objects range; Frequency
bands,powerconsumption,topology;Constraineddevices, constrainednode
networks;Datarateandthroughput,latencyanddeterminism.
6

5 Applications of IoT in medicine (Part I): NSUM technique for
diabetespatients; Healthcare monitoring system through cyber -physical
system; An
loTmodelforneurosensors;AdaBoostwith featureselectionusingloTfor
somaticmutationsevaluationincancer;Afuzzy -
basedexpertsystemtodiagnoseAlzheimer‟sdisease.
8

6 ApplicationsofIoTinmedicine(PartII): SecuredarchitectureforloTenabled
personalized healthcare systems; Healthcare application
developmentinmobileandcloudenvironments;Approachtopredictdiabeticretinop
athy
throughdataanalytics;Diagnosisofchestdiseasesusingartificialneuralnetworks.
7

Page 41

Text Books
1) DavidHanes,GonzaloSalgueiro,PatrickGrossetete,RobBartonandJeromeHenry,“loT Fundamentals:
Networking Technologies, Protocols and Use Cases for lnternet of Things, CiscoPress,2017.
2) VenkataKrishna,SasikumarGurumoorthy,MohammadS.Obaidat,“lnternetofThingsandPersonalized
Healthcare Systems”, Springer Briefs in Applied Sciences, and Te chnology,
ForensicandMedicalBioinformatics,2019.
ReferenceBooks
1. ArshdeepBahga, Vijay Madisetti, “lnternet of Things – A hands -on approach”, Universities
Press,2015
2. Olivier Hersent, David Boswarthick, Omar Elloumi , “The Internet of Things – Key application s
andProtocols”,Wiley,2012.
3. Jan Holler, VlasiosTsiatsis , Catherine Mulligan, Stamatis , Karnouskos, Stefan Avesand.
DavidBoyle,“FromMachine -to-MachinetotheInternetofThings –
IntroductiontoaNewAgeofIntelligence”,Elsevier,2014.
4. Dieter Uckelmann, Mark Harrison, Michahelles, Florian (Eds), “Architecting the Internet of
Things”,Springer,2011.

Assessment
InternalAssessmentconsistsoftwotestsoutofwhich;oneshouldbecompulsoryclasstest(onminimum02Modules)andtheoth
eriseitheraclasstestorassignmentonlive problem s or courseproject.

TheoryExamination :
1. Questionpaperwillcompriseoftotal06questions,eachcarrying20marks.
2. Total04questionsneedtobesolved.
3. Question No: 01 will be compulsory and based on entire syllabus wherein sub -questions
ofmarkswillbeasked.
4. Remainingques tionswill berandomlyselectedfromall themodules.

Page 42

3.
SubjectCode LaboratoryName Credits
BML201 ProgramLaboratoryII 01

Module Practicalsbasedon
1 Filteringinfrequencydomain
2 Filteringinspatialdomain
3 Skeletonisation
4 Biomedicalimage compression
5 Reconstructionusingfilterbackprojection
6 Reconstructionusingalgebraictechnique
7 Featureextraction
8 Statisticalprocessing(histogram,rescaling)

Termwork: Termworkconsistsofperforming08practical mentionedasabove.Final certificationand acceptanceof
the termworkensuressatisfactoryperformanceoflaboratorywork.

Assessment:

EndSemesterExamination: Practical/Oralexaminationistobeconductedbypairofinternalandexternal
examiners.

Page 43

SubjectCode LaboratoryName Credits
BMSBL201 SkillBased LaboratoryII 02

Module Practicalsbasedon
1 OperatingECGmachineusingsimulator
2 RecordingofTele ECG
3 Peripheralpulseanalysis
4 Peristalticpumpunderstanding
5 Automationcomponentsrelays,timersetc
6 AssemblingECGusingAD8232
7 Assemblingoximeter usingMAX30102
8 MeasurementofpulseinoscillometricBP

Termwork: Termworkconsistsofperforming08practicalmentionedasabove.Finalcertificationandacceptanceof the
termworkensuressatisfactoryperformance oflaboratorywork.

Assessment:

EndSemesterExamination: Practical/Oralexaminationistobeconductedbypairofinternalandexternalexaminers.

Page 44

SemesterIII

Course
Code
CourseName Teaching
Scheme(Contact
Hours) CreditsAssigned
Theory Pract. Tu
t. Theor
y Prac
t. Tut. Tota
l
BMMP301 MajorProject:
Dissertation -I -- 20 -- -- 10 -- 10
Total 00 20 00 00 10 -- 10

Course
Code

CourseName ExaminationScheme
Theory
Ter
mW
ork

Prac
t/Or
al

Tota
l InternalAssessment En
dS
em
.E
xa
m Exam.
Durat
ion(in
Hrs)
Test-1
Test
-2
Av
g
BMMP301 MajorProject:
Dissertation -I -- -- -- -- -- 100 -- 100
Total -- -- -- -- -- 100 -- 100

OnlineCreditCourses

Course
Code
CourseName Teaching
Scheme(Contact
Hours) CreditsAssigned
Theor
y Pract. Tu
t. Theor
y Prac
t. Tut. Tota
l
BMOCC3
01 OnlineCreditCourse -I -- -- -- -- -- -- 3
BMOCC3
01 OnlineCreditCourse -
II -- -- -- -- -- -- 3
Total -- -- -- 00 00 00 06

Note 2: It is mandatory to complete the Online Credit Courses (OCC) available on NPTEL /Swayam
/MOOC or similar platform approved by UoM. These two courses shall be completed inany
semester I or II or III, but not later end of the Semester III.University shall make a provisionthat
credits earned withOCC -I and OCC -II shall be accounted in thethird semestergrade -sheetwith actual
names of courses. The learner shall be allowed to take up these courses from his or herinstitute or
organisation/ industry where his / her major project is carried out. The students shallcomplete the
courses and shall qualify the exam conducted by the respective authorities/ instructorfrom the
platform. The fees for any such courses and the corresponding examination shall be bornebythe
learner.

Page 45

OnlineCreditCourse –I
ThelearnershalloptforthecourseinthedomainofResearchMethodology orResearch&PublicationEthicsor
IPR. Theopted courseshall beof 3credits ofequivalent numberofweeks.

OnlineCreditCourse –II
ThelearnershalloptforthecourserecommendedbyFacultyAdvisor/ProjectSupervisorfromtheinstitute.T
heopted courseshall beof 3credits of equivalent number of weeks.

Page 46

SemesterIV

Course
Code
CourseName Teaching
Scheme(Contact
Hours) CreditsAssigned
Theory Prac
t. Tu
t. Theor
y Pract. Tut. Tota
l
BMMP401 Major Project
:Dissertation -II -- 32 -- -- 16 -- 16
Total -- 32 -- -- 16 -- 16

Course
Code

CourseName ExaminationScheme
Theory

Term
Work

Pract/
Oral

Tota
l Internal
Assessment En
dS
em
.
Ex
am Exam
.
Durat
ion(in
Hrs)
Test
-1
Test
-2 A
v
g
BMMP401 MajorProject:
Dissertation -II -- -- -- -- -- 100 100 200
Total -- -- -- -- -- 100 100 200
TotalCredits:68

Note3: TheDissertation -IIsubmissionshallnotbepermittedtillthelearnercompletesalltherequirementsME
course.

Note4: Thecontact hours forthe calculationof load oftheteacherfor Major
Projectareasfollows:MajorProject DissertationIandII -02 Hour/ week / student

Guidelines forAssessmentofDissertation -I

StudentsshoulddoliteraturesurveyandidentifytheproblemforDissertationandfinalizeinconsultation
with Guide/Supervisor. Students should use multiple literatures and understand theproblem.
Students should attempt solution to the problem by analytical/simulation/experimentalmethods. The
solution to be validated with proper justification and compile the report in standardformat.

Dissertation -Ishould beassessedbased on followingpoints
 Qualityofliteraturesurveyand noveltyin theproble m
 Clarityofproblem definition and feasibilityofproblem solution
 Relevancetothespecialization
 Clarity of objective and scope Dissertation -I should be assessed through a presentation by a
panelof Internal examiners and external examiner appointed by the Head of the Department/Institute
ofrespectiveProgramme.

Page 47

GuidelinesforAssessmentofDissertation II

DissertationIIshouldbeassessedbased onfollowingpoints:
 Qualityofliteraturesurveyandnoveltyintheproblem
 Clarityof problem definitionand feasibilityof problem solution
 Relevancetothespecializationorcurrentresearch/industrial trends
 Clarityofobjectiveand scope
 Qualityof workattemptedorlearnercontribution
 Validationofresults
 Qualityof writtenandoralpresentation

Studentsshouldpublishatleastonepaperbasedont heworkinreferredNational/Internationalconference/Jo
urnalof repute.

DissertationII shouldbeassessedbyinternalandexternalexaminersappointedbytheUniversityofMumbai.