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Sathyabama Institute of Science and Technology B.E. - Electronics and Communication Engineering Part Time SECA3005 Biomedical Signal Processing Syllabus

SATHYABAMA INSTITUTE OF SCIENCE AND TECHNOLOGY SCHOOL OF BUILDING AND ENVIRONMENT

SECA3005 BIOMEDICAL SIGNAL PROCESSING
L T P Credits Total Marks
3 0 0 3 100

UNIT 1 INTRODUCTION 9 Hrs.
Biomedical Signals - Sources, Properties, Objectives and Difficulties in Biomedical Signal Analysis, Filtering for removal of
artifacts – Time domain filters, Frequency domain filters, Optimal filtering.

UNIT 2 MODELLING BIOMEDICAL SYSTEMS 9 Hrs.
Pont process, Parametric System Modeling, All Pole Modeling, Pole-Zero Modeling, Spectral Modeling, Applications.

UNIT 3 NEUROLOGICAL SIGNAL PROCESSING 9 Hrs.
The Brain and its potentials; The Electrophysiology origin of brain waves; the EEG Signal and its characteristics; EEG
analysis; Statistical parameter mapping of EEG signal; Linear prediction theory; The autoregressive (AR) method; Wiener
filtering problem; Principle of an adaptive filter; Steepest – descent algorithm; Windrow-hoff least –mean-square adaptive
algorithm.

UNIT 4 CARDIOLOGICAL SIGNAL PROCESSING 9 Hrs.
Basic electrocardiography; ECG data acquisition; ECG lead system; ECG parameters and their estimation; Use of multiscale
analysis for parameters estimation of ECG waveforms, Adaptive noise canceller; Long term continuous ECG
recording; The wavelet approximation - Discrete wavelet transform (DWT); Multi-resolution analysis; Pyramid algorithm.

UNIT 5 HRV AND ARRHYTHMIA ANALYSIS 9 Hrs.
Heart Rate variability; comparison of short-term and long term HRV analysis; Time domain and spectral domain parameters
of short term recording.
Max. 45 Hrs.

COURSE OUTCOMES
On completion of the course, student will be able to
CO1 - Understand the fundamentals of biomedical signal processing and filters in time domain and frequency domain.
CO2 - Model the biomedical systems.
CO3 - Analyze EEG signals.
CO4 - Analyze ECG signals.
CO5 - Apply various algorithms for HRV and Arrhythmia analysis.
CO6 - Apply the knowledge gained to model, analyse and predict various pathological conditions.

TEXT / REFERENCE BOOKS
1. Rangaraj M.Rangayyan, “Biomedical Signal Analysis”, Wiley, 2015.
2. Kayvan Najarian and Robert Splinter, “Biomedical Signal and Image Processing”, 2nd Edition, CRC Press, 2012.
3. Reddy D C. “Modern Biomedical Signal Processing – Principles and Techniques”, TMH, New Delhi, 2005.
4. Arnon Cohen “Biomedical Signal Processing”, Crc Pr I Llc; 2nd edition, May, 2002.
5. Tompkins W J “Biomedical Signal Processing”, Prentice Hall of India, New Delhi, 1999.
6. Bronzino J D “The Biomedical Engineering handbook”, CRC and Free Press, Florida, 1995.

END SEMESTER EXAMINATION QUESTION PAPER PATTERN
Max. Marks: 100 Exam Duration: 3 Hrs.
PART A: 10 Questions of 2 marks each – No choice 20 Marks
PART B: 2 Questions from each unit of internal choice; each carrying 16 marks 80 Marks