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Mobile Networks for Biometric Data Analysis

SIMONE ORCIONI Massimo Conti, Natividad Martínez Madrid, Ralf Seepold - Personal Name;

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.


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Detail Information
Series Title
Lecture Notes in Electrical Engineering
Call Number
-
Publisher
: ., 2016
Collation
IX, 323
Language
English
ISBN/ISSN
978-3-319-39698-9
Classification
NONE
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
1
Subject(s)
Health Informatics
Biomedical Engineering and Bioengineering
Communications Engineering
Networks
Biometrics
Specific Detail Info
-
Statement of Responsibility
Massimo Conti, Natividad Martínez Madrid, Ralf Seepold, Simone Orcioni
Other Information
Cataloger
Hamdani
Source
-
Validator
Taufik
Digital Object Identifier (DOI)
-
Journal Volume
-
Journal Issue
-
Subtitle
-
Parallel Title
-
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