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.
 
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