Mobile Networks for Biometric Data Analysis

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 s...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Conti, Massimo (Επιμελητής έκδοσης), Martínez Madrid, Natividad (Επιμελητής έκδοσης), Seepold, Ralf (Επιμελητής έκδοσης), Orcioni, Simone (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
Σειρά:Lecture Notes in Electrical Engineering, 392
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03295nam a22005415i 4500
001 978-3-319-39700-9
003 DE-He213
005 20160727100507.0
007 cr nn 008mamaa
008 160727s2016 gw | s |||| 0|eng d
020 |a 9783319397009  |9 978-3-319-39700-9 
024 7 |a 10.1007/978-3-319-39700-9  |2 doi 
040 |d GrThAP 
050 4 |a TK1-9971 
072 7 |a TJK  |2 bicssc 
072 7 |a TEC041000  |2 bisacsh 
082 0 4 |a 621.382  |2 23 
245 1 0 |a Mobile Networks for Biometric Data Analysis  |h [electronic resource] /  |c edited by Massimo Conti, Natividad Martínez Madrid, Ralf Seepold, Simone Orcioni. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2016. 
300 |a IX, 323 p. 160 illus., 104 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Lecture Notes in Electrical Engineering,  |x 1876-1100 ;  |v 392 
505 0 |a ICT for health care -- Embedded systems for biometric data acquisition -- Biometric data in automotive and home applications -- Biometric data analysis of cardiac signals -- Gait analysis. 
520 |a 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. 
650 0 |a Engineering. 
650 0 |a Health informatics. 
650 0 |a Biometrics (Biology). 
650 0 |a Electrical engineering. 
650 0 |a Biomedical engineering. 
650 1 4 |a Engineering. 
650 2 4 |a Communications Engineering, Networks. 
650 2 4 |a Biometrics. 
650 2 4 |a Health Informatics. 
650 2 4 |a Biomedical Engineering. 
700 1 |a Conti, Massimo.  |e editor. 
700 1 |a Martínez Madrid, Natividad.  |e editor. 
700 1 |a Seepold, Ralf.  |e editor. 
700 1 |a Orcioni, Simone.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319396989 
830 0 |a Lecture Notes in Electrical Engineering,  |x 1876-1100 ;  |v 392 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-39700-9  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)