Sampling theorem - ECG signal conversion system- - Discrete Fourier Transform (DFT)- Fast Fourier Transform (FFT): Decimation in time and frequency, Multi rate Signal Processing, wavelet Transform.
Introduction to FIR, Linear phase FIR filter, FIR filter design using window method- LPF, frequency sampling method, realization of FIR filter using direct form 1, Direct form 2, cascade and parallel structures, Concepts of Adaptive filtering.
Introduction to IIR, design of Butterworth and chebyshev filter, Digital filters design by Impulse Invariance, Bilinear Transformation method, realization of IIR filter using direct form 1, Direct form 2, cascade and parallel structures.
Source of Bioelectric potential, Resting and action potential, Propagation of action potentials in nerves, Characteristics of biomedical signals, The ECG-Cardiac electrophysiology, relation of ECG components to cardiac events, clinical applications.
Turning point algorithm, AZTEC algorithm, CORTES algorithm, Fan algorithm, Huffman algorithm.
Reference Book:
Rangaraj M Rangayyan “Biomedical Signal Analysis: A Case-Study Approachâ€, Wiley India, New Delhi, 2009 Oppenheim A.V et.al. , “Discrete Time Signal Processingâ€, Prentice Hall India, NewDelhi,2014 Guyton & Hall, “Textbook of Medical Physiologyâ€, Elsevier Health Science; 3rd edition, 2020
Text Book:
Sanjit K. Mitra, “Digital Signal Processing – A Computer Based Approachâ€, Tata Mc Graw Hill, 2013. Tompkins W.J, â€Biomedical Digital Signal Processingâ€, Prentice Hall, New Delhi, 1995
