
Biomedical Signal Analysis for Connected Healthcare
Description
Key Features
- Provides 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
Readership
Biomedical, electrical, and computer engineers; researchers in connected healthcare and in biomedical signal analysis
Table of Contents
1. Types and characteristics of biomedical signals
2. Time-domain processing of biomedical signals
3. Spectral-domain analysis of biomedical signals
4. Wavelet analysis of biomedical signals
5. Time-frequency analysis of biomedical signals
6. Sparse and compressive sensing techniques for biomedical signals
7. Machine learning for interpreting biomedical signals
8. Wearables and Internet of Things for connected healthcare
Product details
- No. of pages: 334
- Language: English
- Copyright: © Academic Press 2021
- Published: June 23, 2021
- Imprint: Academic Press
- eBook ISBN: 9780128131732
- Paperback ISBN: 9780128130865
About the Author
Sridhar Krishnan
Affiliations and Expertise
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