Krishnan Sridhar (Affiliate Scientist Keenan Research Centre For Biomedical Science St. Michaels Hospital; Associate Dean Of Research Development And Graduate Programs In Engineering And Architectural Science Ryerson University Canada)
Krishnan Sridhar (Affiliate Scientist Keenan Research Centre For Biomedical Science St. Michaels Hospital; Associate Dean Of Research Development And Graduate Programs In Engineering And Architectural Science Ryerson University Canada) - Biomedical
Krishnan Sridhar (Affiliate Scientist Keenan Research Centre For Biomedical Science St. Michaels Hospital; Associate Dean Of Research Development And Graduate Programs In Engineering And Architectural Science Ryerson University Canada) - Biomedical
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Binding: Paperback
Description: 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.
Title: Biomedical Signal Analysis For Connected Healthcare
Author(s): Krishnan Sridhar (Affiliate Scientist Keenan Research Centre For Biomedical Science St. Michaels Hospital; Associate Dean Of Research Development And Graduate Programs In Engineering And Architectural Science Ryerson University Canada)
Publisher: Elsevier Science Publishing Co Inc
Barcode: 9780128130865
Pages: 334 Pages
Publication Date: 6/25/2021
Category: Biomedical Engineering
Description: 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.
Title: Biomedical Signal Analysis For Connected Healthcare
Author(s): Krishnan Sridhar (Affiliate Scientist Keenan Research Centre For Biomedical Science St. Michaels Hospital; Associate Dean Of Research Development And Graduate Programs In Engineering And Architectural Science Ryerson University Canada)
Publisher: Elsevier Science Publishing Co Inc
Barcode: 9780128130865
Pages: 334 Pages
Publication Date: 6/25/2021
Category: Biomedical Engineering
