Biomedical signal processing syllabus

1. EES6004-Biomedical Signal Processing
Teachers: Dr. M. Sabarimalai Manikandan and Dr. Debi Prosad Dogra
Course Prerequisites: Digital Signal Processing and MATLAB Programming
Grading Plan:
• Mid-Semester Examination (30%):
o Question Pattern: Individual Term Project (10%) + Course Topics (20%)
• End-Semester Examination (50%):
o Question Pattern: Individual Term Project (20%) + Course Topics (30%)
• Project Evaluation (15%): Final MATLAB code, final spec, final README and technical
report explaining how your project works and what you did and did not get finished.
• Quizzes (5%): Expect to show what you know on at least one quiz each month.

2. Course Syllabus
Lecture
Number
Course Topics Instructor
Lecture 01
• Objectives of Biomedical Signal Processing
• Research Challenges in Physiological Signal Monitoring
and Diagnosis
• Recent Trends in Healthcare Monitoring and Diagnostic
Systems
MSM/DPD
Lecture 01 • Human Anatomy and Physiology
• Physiological Systems
• Different types of biomedical signals
DPD
Lecture 02
Membrane Cell Physiology
• Membrane Structure and Skeletal muscle activity
• Generation and transmission of bioelectricity in excitable
cells; ionic transport in cellular membranes; propagation
of electricity within and between cells; cardiac and neural
physiology; measurement of extracellular fields; electrical
stimulation of excitable cells.
DPD

3. • Ionic permeability and membrane potential – Nernst &
Goldman equations
• Muscle Action potential – voltage dependent Na+
channel, activation and inactivation, and propagation
• Depolarization, repolarization and Plateau phase in
Action potential
• Nervous Systems
Lecture 03 • Electrocardiography DPD
Lecture 04
• Phonocardiography
• Electrocorticography
• Abdominal Electrocardiography
DPD
Lecture 05
• Electroencephalography
• Magnetoencephalography
• Electroretinography
• Electrooculography
DPD
Lecture 06 • Respiratory Sounds DPD
Lecture 07
• Electrogastrography
• Electromyography
• Mechanomyography
DPD

4. • Vibroarthrography
MID-SEMESTER EXAMINATION
Lecture 08 Biosignal Recording System
• Spectral Characteristics of Biosignals
• Biosensors and Analog Frond-End for Signal Acquisition
• Sampling, Quantization and Encoding
• Multi-rate Systems
• Compressed Sensing
• Lossless Data Compression
MSM
Lecture 09 Biosignal Signal Analysis
• Time-Domain Analysis of Biosignals
• Statistical Analysis of biosignals: HOS, SVD, PCA and ICA
• Information-theoretic Analysis
MSM
Lecture 10
Time and Frequency Domain Analysis
• Fourier Spectrum of Biosignals
• Short-time Fourier Transform and Spectrogram
• Discrete Cosine Transform (DCT) and its Applications
MSM

5. • Wavelet Transform and Time-Frequency Analysis
• Hilbert Transform and its Application
• Empirical Mode Decomposition and Empirical Wavelet
Transform
• Correlation Analysis and Power Spectral Estimation
Lecture 11
Digital Filters for Biosignal Applications
• Illustration of different types of artifacts and Noise
• Time Domain Filters
• Frequency Domain Filters
• Notch and Comb Filters
• Optimal Filtering
• Adaptive Filters
• Signal Decomposition based Filtering
MSM
Lecture 12
Event Detection and Feature Extraction Techniques
• Signal Segmentation
• Envelope Extraction and Analysis
• Temporal and Spectral Features
• Statistical Features
• Information-Theoretic Features
MSM

6. • Cross-spectral Features
• Waveform Complexity
Lecture 13
Modeling Biomedical Systems
• Autoregressive or All-pole Modeling
• Pole-zero Modeling
• Spectral Modeling
Pattern Classification and Diagnostic Decision
• Supervised and Unsupervised Classification
• Probabilistic Models and Statistical Decision
Performance Measures for Detection and Classification
System
MSM
Lecture 14
Overview of Biosignal Processing Systems
• Heart Rate Variability Analysis
• Computer Aided Auscultation
• Sleep Apnea Monitoring
• ECG Wave Delineation
• ECG Beat Classification
• Brainwave Classification
• Epileptic Seizure Detection
MSM

7. • Affective Computing
• Assistive Technology
• Event Change Detection
• Augmented Reality Medical Systems
Reference Textbooks
[1]. Rangaraj M. Rangayyan, Biomedical Signal Analysis: A Case-Study Approach, Publisher: Wiley India;
Publishing Date: 2009
[2]. Eugene N. Bruce, Biomedical Signal Processing and Signal Modeling, Wiley-Interscience; 1 edition
(November 20, 2000)
[3]. John L. Semmlow, Biosignal and biomedical image processing: MATLAB-based applications, CRC; 1
edition, 2004.
[4]. Metin Akay, Time Frequency and Wavelets in Biomedical Signal Processing, Wiley-IEEE Press; 1
edition (October 24, 1997)
[5]. Stephane Mallat, A Wavelet Tour of Signal Processing: The Sparse Way, third edition, Academic
Press
[6]. Monson H Hayes, Statistical Digital Signal Processing And Modeling, Wiley
[7]. J. Proakis and D. Manolakis, Digital Signal Processing: Principles, Algorithms, and Applications, 4th
edition, Prentice-Hall.
[8]. Li Tan, Digital Signal Processing: Fundamentals and Applications, Elsevier, 2008.
[9]. Mrinal Mandal, Amir Asif, Continuous and Discrete Time Signals and Systems, Cambridge University
Press, 2008.
[10]. Instructor's Notes

8. Programming Language: MATLAB
Journals in the Field of Biomedical Engineering International Conferences in the Field of
Biomedical Engineering
• IEEE Transactions on Biomedical Engineering
• IEEE Journal on Biomedical and Health Informatics
• IEEE Transactions on Neural Systems and
Rehabilitation Engineering
• IEEE Signal Processing and IEEE Signal Processing
Letters
• Electronics Letters
• Healthcare Technology Letters
• Signal Processing (Elsevier)
• Digital Signal Processing (Elsevier)
• Biosignal Processing and Control(Elsevier)
• Medical Engineering Physics (Elsevier)
• Computers in Biology and Medicine (Elsevier)
• Annals of Biomedical Engineering (Springer)
• Cardiovascular Engineering and technology
(Springer)
• Medical & Biological Engineering & Computing
(Springer)
• Medical System (Springer)
• Annual International Conference of the
IEEE Engineering in Medicine and Biology
Society
• IEEE-EMBS International Conference on
Biomedical and Health Informatics
• Computing in Cardiology
Biomedical Engineering Society
• IEEE Engineering in Medicine and Biology
Society (IEEE-EMBS)
• Biomedical Engineering Society (BMES)