Sridhar Krishnan
Biomedical Signal Analysis for Connected Healthcare
Biomedical Signal Analysis for Connected Healthcare
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Excellent- More about Biomedical Signal Analysis for Connected Healthcare
Biomedical Signal Analysis for Connected Healthcare covers time domain approaches, spectral analysis, time-varying signal processing, machine learning, sparse techniques, and compressive sensing to provide low-power applications for wearable designs.
Format: Paperback / softback
Length: 334 pages
Publication date: 25 June 2021
Publisher: Elsevier Science Publishing Co Inc
Biomedical Signal Analysis for Connected Healthcare 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.
Weight: 708g
Dimension: 193 x 231 x 25 (mm)
ISBN-13: 9780128130865
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