Computational Pulse Signal Analysis (Hardcover, 1st ed. 2018)

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This book describes the latest advances in pulse signal analysis and their applications in classification and diagnosis. First, it provides a comprehensive introduction to useful techniques for pulse signal acquisition based on different kinds of pulse sensors together with the optimized acquisition scheme. It then presents a number of preprocessing and feature extraction methods, as well as case studies of the classification methods used. Lastly it discusses some promising directions for the future study and clinical applications of pulse signal analysis. The book is a valuable resource for researchers, professionals and postgraduate students working in the field of pulse diagnosis, signal processing, pattern recognition and biometrics. It is also useful for those involved in interdisciplinary research.

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Product Description

This book describes the latest advances in pulse signal analysis and their applications in classification and diagnosis. First, it provides a comprehensive introduction to useful techniques for pulse signal acquisition based on different kinds of pulse sensors together with the optimized acquisition scheme. It then presents a number of preprocessing and feature extraction methods, as well as case studies of the classification methods used. Lastly it discusses some promising directions for the future study and clinical applications of pulse signal analysis. The book is a valuable resource for researchers, professionals and postgraduate students working in the field of pulse diagnosis, signal processing, pattern recognition and biometrics. It is also useful for those involved in interdisciplinary research.

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Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Release date

October 2018

Availability

Expected to ship within 10 - 15 working days

First published

2017

Authors

, ,

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

328

Edition

1st ed. 2018

ISBN-13

978-981-10-4043-6

Barcode

9789811040436

Categories

LSN

981-10-4043-5



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