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020 _a9783319397009
_9978-3-319-39700-9
024 7 _a10.1007/978-3-319-39700-9
_2doi
050 4 _aTK5101-5105.9
072 7 _aTJK
_2bicssc
072 7 _aTEC041000
_2bisacsh
072 7 _aTJK
_2thema
082 0 4 _a621.382
_223
245 1 0 _aMobile Networks for Biometric Data Analysis
_h[electronic resource] /
_cedited by Massimo Conti, Natividad Martínez Madrid, Ralf Seepold, Simone Orcioni.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aIX, 323 p. 160 illus., 104 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Electrical Engineering,
_x1876-1119 ;
_v392
505 0 _aICT 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 _aThis 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 _aTelecommunication.
_910437
650 0 _aBiometric identification.
_911407
650 0 _aMedical informatics.
_94729
650 0 _aBiomedical engineering.
_93292
650 1 4 _aCommunications Engineering, Networks.
_931570
650 2 4 _aBiometrics.
_932763
650 2 4 _aHealth Informatics.
_931799
650 2 4 _aBiomedical Engineering and Bioengineering.
_931842
700 1 _aConti, Massimo.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_959585
700 1 _aMartínez Madrid, Natividad.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_959586
700 1 _aSeepold, Ralf.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_959587
700 1 _aOrcioni, Simone.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_959588
710 2 _aSpringerLink (Online service)
_959589
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319396989
776 0 8 _iPrinted edition:
_z9783319396996
776 0 8 _iPrinted edition:
_z9783319819440
830 0 _aLecture Notes in Electrical Engineering,
_x1876-1119 ;
_v392
_959590
856 4 0 _uhttps://doi.org/10.1007/978-3-319-39700-9
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c80374
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