339,83 €
377,59 €
-10% with code: EXTRA
Biomedical Signal Analysis for Connected Healthcare
Biomedical Signal Analysis for Connected Healthcare
339,83
377,59 €
  • We will send in 10–14 business days.
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 lo…
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Biomedical Signal Analysis for Connected Healthcare (e-book) (used book) | bookbook.eu

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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.

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  • Author: Sridhar Krishnan
  • Publisher:
  • ISBN-10: 0128130865
  • ISBN-13: 9780128130865
  • Format: 19.1 x 23.5 x 1.8 cm, softcover
  • Language: English English

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.

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