Mobile Networks for Biometric Data Analysis (Hardcover, 1st ed. 2016)

This book showcases new and innovative approaches to biometric data capture and analysis, focusing especially on those that are characterized by non-intrusiveness, reliable prediction algorithms, and high user acceptance. It comprises the peer-reviewed papers from the international workshop on the subject that was held in Ancona, Italy, in October 2014 and featured sessions on ICT for health care, biometric data in automotive and home applications, embedded systems for biometric data analysis, biometric data analysis: EMG and ECG, and ICT for gait analysis. The background to the book is the challenge posed by the prevention and treatment of common, widespread chronic diseases in modern, aging societies. Capture of biometric data is a cornerstone for any analysis and treatment strategy. The latest advances in sensor technology allow accurate data measurement in a non-intrusive way, and in many cases it is necessary to provide online monitoring and real-time data capturing to support a patient's prevention plans or to allow medical professionals to access the patient's current status. This book will be of value to all with an interest in this expanding field.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Lecture Notes in Electrical Engineering, 392
Release date:	July 2016
First published:	2016
Editors:	Massimo Conti • Natividad Martinez Madrid • Ralf Seepold • Simone Orcioni
Dimensions:	235 x 155 x 19mm (L x W x T)
Format:	Hardcover
Pages:	323
Edition:	1st ed. 2016
ISBN-13:	978-3-319-39698-9
Categories:	Books > Computing & IT > Internet > Network computers Books > Computing & IT > Applications of computing > Pattern recognition Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General
LSN:	3-319-39698-6
Barcode:	9783319396989

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