EEG and ECG signals: Genesis, monitoring, measurement and uses. Time and frequency domain analysis of signals: Morphological studies, correlation, spectral analysis. Linear prediction technique: AR model and its implementation, inverse filter. Homomorphic processing: generalized superposition, complex cepstrum, minimum phase component. Nonlinear dynamics and chaos: fractal dimension, correlation dimension, Lyapunovexponent. Artifacts: Types, detection and minimization. Applications to biomedical signals.
Prerequisite: None
Texts/References Books:
- E. N. Bruce, ‘Biomedical Signal Processing And Signal Modeling’, Wiley, 2009
- R. M. Rangayyam, ’Biomedical Signal Analysis – A Case-Study Approach’, Wiley, 2009.
|