Biomedical Signal Analysis for Connected Healthcare: A Comprehensive Guide

Biomedical Signal Analysis for Connected Healthcare, authored by Sridhar Krishnan, offers a thorough exploration of various signal analysis techniques for healthcare applications. The book covers a range of topics, including time domain approaches for event detection, spectral analysis for clinical event interpretation, time-varying signal processing, machine learning for enhanced decision-making, sparse techniques, compressive sensing, and the Internet of Things (IoT) in healthcare.

The book provides comprehensive coverage of biomedical engineering, technologies, and healthcare applications of various physiological signals. It includes vital signals such as ECG, EEG, EMG, and body sounds, along with case studies and MATLAB code for selected applications.

Published by Elsevier Science on June 23, 2021, this book is an essential resource for professionals and researchers in the field of biomedical engineering and healthcare. It is available in English and offers a valuable insight into the emerging paradigms of connected healthcare.

With its detailed coverage of signal analysis techniques and their applications in healthcare, this book is a must-have for anyone looking to understand the intricacies of biomedical signal analysis and its role in enhancing healthcare through connected technologies.