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.

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

• 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

• 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

• 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

• 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

• 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

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)