000 03315nam a22003495i 4500
001 102913
003 DE-He213
005 20230102113105.0
007 cr nn 008mamaa
008 171022s2018 si | s |||| 0|eng d
020 _a9789811056840
024 7 _a10.1007/978-981-10-5684-0
_2doi
040 _aES-MaUEC
_bspa
050 4 _aTK5103.2
_bL466 2018 EB
100 1 _aLeMoyne, Robert
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_1http://viaf.org/viaf/106205010/
_9100424
245 1 0 _aWearable and Wireless Systems for Healthcare I
_bGait and Reflex Response Quantification
_cby Robert LeMoyne, Timothy Mastroianni.
264 1 _aSingapore
_bSpringer International Publishing
_c2018
300 _a1 recurso en línea (XIV, 134 páginas 34 ilustraciones, 24 ilustraciones a color)
347 _atext file
_bPDF
490 0 _aSmart Sensors, Measurement and Instrumentation
_x2194-8402
_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 3 _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 7 _aSistemas de comunicación inalámbricos
_2embne
_9158044
650 7 _aFisiología humana
_2embne
_9140024
700 1 _aMastroianni, Timothy
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_0http://id.loc.gov/authorities/names/n2018185122
_1http://viaf.org/viaf/6152986585612670669/
776 0 8 _iEdición impresa:
_z9789811056833
776 0 8 _iEdición impresa:
_z9789811056857
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-10-5684-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490 0 _aEngineering (Springer-11647)
988 _aEBSPRINGER_2018
998 _b02/2019
_dz
_ek
_feng
_ggw
_h0
999 _c102913
_d102913
_x1