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Biomedical Signal Analysis for Connected Healthcare Krishnan Paperback
Biomedical Signal Analysis for Connected Healthcare Krishnan Paperback
Biomedical Signal Analysis for Connected Healthcare Krishnan Paperback
Biomedical Signal Analysis for Connected Healthcare Krishnan Paperback
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Biomedical Signal Analysis for Connected Healthcare Krishnan Paperback

Biomedical Signal Analysis for Connected Healthcare

The most groundbreaking practices and techniques in biomedical healthcare signal processing

Sridhar Krishnan (Author)

9780128130865

Paperback / softback, published 25 June 2021

334 pages

23.5 x 19 x 2.2 cm, 0.7 kg

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.

1. Types and characteristics of biomedical signals2. Time-domain process]

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Biomedical Signal Analysis for Connected Healthcare Krishnan Paperback

Biomedical Signal Analysis for Connected Healthcare

The most groundbreaking practices and techniques in biomedical healthcare signal processing

Sridhar Krishnan (Author)

9780128130865

Paperback / softback, published 25 June 2021

334 pages

23.5 x 19 x 2.2 cm, 0.7 kg

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.

1. Types and characteristics of biomedical signals2. Time-domain process]

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Product Description

Biomedical Signal Analysis for Connected Healthcare

The most groundbreaking practices and techniques in biomedical healthcare signal processing

Sridhar Krishnan (Author)

9780128130865

Paperback / softback, published 25 June 2021

334 pages

23.5 x 19 x 2.2 cm, 0.7 kg

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.

1. Types and characteristics of biomedical signals2. Time-domain process]

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Language

English

Type

Textbook

Format

Paperback

Brand

Elsevier Science Publishing Co Inc

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