Signal Processing in Medicine and Biology - Emerging Trends in Research and Applications (Hardcover, 1st ed. 2020)


This book covers emerging trends in signal processing research and biomedical engineering, exploring the ways in which signal processing plays a vital role in applications ranging from medical electronics to data mining of electronic medical records. Topics covered include statistical modeling of electroencephalograph data for predicting or detecting seizure, stroke, or Parkinson's; machine learning methods and their application to biomedical problems, which is often poorly understood, even within the scientific community; signal analysis; medical imaging; and machine learning, data mining, and classification. The book features tutorials and examples of successful applications that will appeal to a wide range of professionals and researchers interested in applications of signal processing, medicine, and biology.

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Product Description

This book covers emerging trends in signal processing research and biomedical engineering, exploring the ways in which signal processing plays a vital role in applications ranging from medical electronics to data mining of electronic medical records. Topics covered include statistical modeling of electroencephalograph data for predicting or detecting seizure, stroke, or Parkinson's; machine learning methods and their application to biomedical problems, which is often poorly understood, even within the scientific community; signal analysis; medical imaging; and machine learning, data mining, and classification. The book features tutorials and examples of successful applications that will appeal to a wide range of professionals and researchers interested in applications of signal processing, medicine, and biology.

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Product Details

General

Imprint

Springer Nature Switzerland AG

Country of origin

Switzerland

Release date

March 2020

Availability

Expected to ship within 12 - 17 working days

First published

2020

Editors

, ,

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

281

Edition

1st ed. 2020

ISBN-13

978-3-03-036843-2

Barcode

9783030368432

Categories

LSN

3-03-036843-2



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