Biomedical Signal Analysis for Connected Healthcare av Sridhar (Affiliate Scientist Keenan Research Centre for Biomedical Science St. Michael's H

1549,-

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<p><i>Biomedical Signal Analysis for Connected Healthcare</i> provides rigorous coverage on several generations of techniques, including time domain approaches for event detection, spectral analysis for interpretation of clinical events of interest, time-varying signal processing for understanding dynamical aspects of complex biomedical systems, the application of machine learning principles in enhanced clinical decision-making, the application of sparse techniques and compressive sensing in providing low-power applications that are essential for wearable designs, the emerging paradigms of the Internet of Things, and connected healthcare. </p><br><br><ul><li>Provides comprehensive coverage of biomedical engineering, technologies, and healthcare applications of various physiological signals</li><li>Covers vital signals, including ECG, EEG, EMG and body sounds</li><li>Includes case studies and MATLAB code for selected applications</li></ul>