Introduction:
General measurement and diagnostic system, classification of signals, introduction to biomedical signals, Biomedical signal acquisition and processing, Difficulties in signal acquisition.
ECG:
ECG signal origin, ECG parameters-QRS detection different techniques, ST segment analysis, Arrhythmia, Arrhythmia analysis, Arrhythmia monitoring system.
ECG Data Reduction:
Direct data compression Techniques: Turning Point, AZTEC, Cortes, FAN, Transformation Compression Techniques: Karhunen - Loeve Transform, Other data compression Techniques: DPCM, Huffman coding, Data compression Techniques comparison.
Signal averaging:
Basics of signal averaging, Signal averaging as a digital filter, A typical averager, Software and limitations of signal averaging.
Frequency Domain Analysis:
Introduction, Spectral analysis, linear filtering, cepstral analysis and homomorphic filtering. Removal of high frequency noise (power line interference), motion artifacts (low frequency) and power line interference in ECG,
Time Series Analysis:
Introduction, AR models, Estimation of AR parameters by method of least squares and Durbin‟s algorithm, ARMA models. Spectral modeling and analysis of PCG signals
Spectral Estimation:
Introduction, Blackman- tukey method, The periodogram, Pisarenko‟s Harmonic decomposition, Prony‟ method, Evaluation of prosthetic heart valves using PSD techniques. Comparison of the PSD estimation methods.
Event Detection and waveform analysis:
Need for event detection, Detection of events & waves, Correlation analysis of EEG signals, The matched filter, Detection of the P wave , Identification of heart sounds, Morphological analysis of ECG waves, analysis of activity.
Adaptive Filtering:
Introduction, General structure of adaptive filters, LMS adaptive filter, adaptive noise cancellation, Cancellation of 60 Hz interference in ECG, cancellation of ECG from EMG signal, Cancellation of maternal ECG in fetal ECG.
EEG:
EEG signal characteristics, Sleep EEG classification and epilepsy