I am offering this M.Tech. level course every Aug to November semester.

Objective: To develop an understanding of electronic systems used in biomedical applications. This course would give an overview of design of medical instruments from first principles of physiology, electronics and the associated interfaces. At the end of this course students should be able to develop an understanding of application and design of various medical instruments employed for therapeutic and sensing applications.

Lab module would give students hands on experience in few fundamental biomedical electronic circuits and real world signal processing scenarios.

Introduction to BM605

Course Structure:

Module-wise Course Contents:
Module No. and Title No. of Lectures / Lab Hours Module Description
1.      Introduction to medical instrumentation 1 Give a broad overview of the field of biomedical electronic systems with stimulating high level examples and student intractions.
2.      Basic electronics 3 Basic electric circuits: Kirchhoff’s laws, Thevenin’s and Norton’s theorems, and complex impedance; electronic devices: PN junction diodes and diode circuits; transistors.
3.      Signal conditioning using Opamps 3 Amplifiers, filters, comparators, adders, integrators, differentiators and other applications using Opamps
4.      Bio-potential 3 Origin of bio-potentials, bio-potential electrodes, bio-potential amplifiers
5.      Electro-cardiogram 3 ECG Physiology, Signal acquisition, processing and interpretation.
6.      Fundamentals of signal processing 3 Fourier series, Fourier transforms, Digital signals, Discrete Fourier transforms
7.      Introduction to Matlab 1 Introduction to scientific computation using Matlab.
8.      Blood pressure measurement 1 Instrumentation and signals processing aspects of measuring blood pressure.
9.      Blood flow, volume and velocity measurement 2 Measurement of blood flow and pulse wave velocity. Introduction to pulse-oxymetry.
10.  Image Processing 3 Fundamentals of digital image processing
11.  Medical Ultrasound 5 Sensors, Circuit design aspects, Signal acquisition and amplification, Beam forming, Image processing, ARFI, Doppler, Measurement of arterial stiffness.
12.  Respiratory Measurement 2 Spirometry, respiratory photo-plythysmogram, Respiration signal embedded in other physiological signals.
13.  EEG 2 EEG signal acquisition, signal processing and interpretation.
14.  Chemical Bio-sensors 2 Electrochemical sensors, Blood glucose sensors, Lab-on-chip.
15.  Noise in Medical Signals 2 Noise sources in medical environment, Noise filtering strategies.
16.  Electrical Safety 2 Physiological effects of electricity, Shock hazards, Testing of systems, Protection in equipment design.
17.  Communication of Medical Signals 2 Modulation, Remote health monitoring systems, Transmission of biomedical signals / body area network, Telemedicine, etc.
18.  Health Informatics 2 Design of patient health records, Health monitoring apps, Databases and data-mining, AI and Expert health systems.

Suggested texts and reference materials

Text Books (Please mention author, title, name of publisher, edition and year of publication)

1.      Medical Instrumentation, Application and Design by John G. Webster, 4th Edition, 2016

Reference Books

1.      Handbook of Operational Amplifier Applications, Texas Instruments, Application Report, Sep, 2016.

2.      Discrete Time Signal Processing, 2nd Edition, by A V Oppenheim, J R Buck, and R W Schafer.

3.      Digital Design by M M Mano and M D Ciletti.

4.      Digital Image Processing, 3rd ed, by R E Woods and R C Gonzalez.

5.      Mcdonald’s Blood Flow In Arteries: Theoretical, Experimental & Clinical Principles, by W W Nichols and M F O’Rourke, 2011.

6.      Cardiovascular Medicine, 3rd Ed. by J T Willerson et. al., Springer Publication.

7.      Diagnostic Ultrasound – Imaging and blood flow measurements, K K Shung, Taylor and Francis Publication, 2006.

Planned learning experience (in hours)

Black Board:                                              30

Presentation (PowerPoint slides etc.):    3

Desktop Computer:                                   5

Laboratory Equipments:                           5

Industrial Visits:

Guest Lectures:                                          3

Project-based Learning:                            6

Week-wise brief description of lecture activities:
Week No. Lecture description
1. Introduce the course and start with the fundamentals of electronics.
2. Operational amplifiers and their applications.
3. Bio-potentials module
4. ECG module
5. Fundamental concepts of signal processing.
6. Introduction to signal processing using Matlab and cover blood-pressure and heart sounds
7. Blood flow, volume and velocity measurement module
8. Image processing module
9. Medical ultrasound module
10. Respiratory measurement and EEG modules
11. Chemical bio-sensors module
12. Noise and electrical safety of medical instruments
13. Communication of medical signals
14. Health informatics module and conclusion
Week-wise brief description of laboratory/practical activities:
Week No. Description of Experimental/Laboratory/Practical Activity
1. Design a differential amplifier and an instrumentation amplifier.
2. Implementation of a simple 2-lead ECG Circuit.
3. Ultrasound beam forming of a point target.
4. Signal analysis algorithm for identifying walls of carotid from A-line ultrasound.
5. Write ECG Signal processing algorithm for identifying Asystole, bradycardia and Tachycardia.
6. Obtain EEG signals and process them to detect an eye-close event.
7. Obtain ECG, PPG and Blood Pressure from a Patient monitor. Obtain the pulse arrival time and approximate pulse wave velocity in arm. See if there is a relationship with respect to blood pressure.
8. Design an op-amp circuit to measure the skin resistance. Check how scraping off skin layer with adhesive band affect skin resistance.
9. Convert an analog stethoscope to digital stethoscope and record heart sounds into computer with it.
10. Write signal processing algorithm to identify S1 and S2 on the recorded heart sounds.
11. Write an image processing algorithm to characterize the vibration pattern of an arterial phantom produced due to ARFI.