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

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	October 2018
First published:	2017
Authors:	David Zhang • Wangmeng Zuo • Peng Wang
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	328
Edition:	1st ed. 2018
ISBN-13:	978-981-10-4043-6
Categories:	Books > Computing & IT > Applications of computing > Pattern recognition Books > Medicine > General issues > Medical equipment & techniques > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General Promotions
LSN:	981-10-4043-5
Barcode:	9789811040436

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