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020 _a9789811056840
_9978-981-10-5684-0
024 7 _a10.1007/978-981-10-5684-0
_2doi
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072 7 _aTJK
_2bicssc
072 7 _aTEC041000
_2bisacsh
072 7 _aTJK
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082 0 4 _a621.382
_223
100 1 _aLeMoyne, Robert.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_955343
245 1 0 _aWearable and Wireless Systems for Healthcare I
_h[electronic resource] :
_bGait and Reflex Response Quantification /
_cby Robert LeMoyne, Timothy Mastroianni.
250 _a1st ed. 2018.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2018.
300 _aXIV, 134 p. 34 illus., 24 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 _aSmart Sensors, Measurement and Instrumentation,
_x2194-8410 ;
_v27
505 0 _aWearable and wireless systems for gait analysis and reflex quantification -- Traditional clinical evaluation of gait and reflex response by ordinal scale -- Quantification systems appropriate for a clinical setting -- The rise of inertial measurement units -- Portable wearable and wireless systems for gait and reflex response quantification -- Smartphones and portable media devices as wearable and wireless systems for gait and reflex response quantification -- Bluetooth inertial sensors for gait and reflex response quantification with perspectives regarding Cloud Computing and the Internet of Things -- Quantifying the spatial position representation of gait through sensor fusion -- Role of machine learning for gait and reflex response classification -- Homebound therapy with wearable and wireless systems -- Future perspective of Network Centric Therapy.
520 _aThis book provides visionary perspective and interpretation regarding the role of wearable and wireless systems for the domain of gait and reflex response quantification. These observations are brought together in their application to smartphones and other portable media devices to quantify gait and reflex response in the context of machine learning for diagnostic classification and integration with the Internet of things and cloud computing. The perspective of this book is from the first-in-the-world application of these devices, as in smartphones, for quantifying gait and reflex response, to the current state of the art. Dr. LeMoyne has published multiple groundbreaking applications using smartphones and portable media devices to quantify gait and reflex response.
650 0 _aTelecommunication.
_910437
650 0 _aPhysical therapy.
_933726
650 0 _aHuman physiology.
_93919
650 0 _aApplication software.
_955344
650 1 4 _aCommunications Engineering, Networks.
_931570
650 2 4 _aPhysiotherapy.
_933728
650 2 4 _aHuman Physiology.
_93919
650 2 4 _aComputer and Information Systems Applications.
_955345
700 1 _aMastroianni, Timothy.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_955346
710 2 _aSpringerLink (Online service)
_955347
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811056833
776 0 8 _iPrinted edition:
_z9789811056857
776 0 8 _iPrinted edition:
_z9789811354625
830 0 _aSmart Sensors, Measurement and Instrumentation,
_x2194-8410 ;
_v27
_955348
856 4 0 _uhttps://doi.org/10.1007/978-981-10-5684-0
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79537
_d79537