Biomedical Signal Analysis for Connected Healthcare: A Comprehensive Guide

By Sridhar Krishnan, this book provides a thorough exploration of several generations of techniques in biomedical signal analysis. It covers time domain approaches for event detection, spectral analysis for interpreting clinical events, time-varying signal processing for understanding complex biomedical systems, machine learning principles for enhanced clinical decision-making, sparse techniques and compressive sensing for low-power applications, and the emerging paradigms of the Internet of Things and connected healthcare.

This comprehensive guide covers vital signals including ECG, EEG, EMG, and body sounds. It also includes case studies and MATLAB code for selected applications, making it an essential resource for professionals and researchers in the field of biomedical engineering and healthcare.

Key Features:

• Comprehensive coverage of biomedical engineering, technologies, and healthcare applications of various physiological signals.
• Covers vital signals, including ECG, EEG, EMG, and body sounds.
• Includes case studies and MATLAB code for selected applications.
• Provides insights into emerging paradigms of the Internet of Things and connected healthcare.

Author: Sridhar Krishnan

Publication Date: June 23, 2021

Language: English

ISBN: 9780128130865, 9780128131732