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008 150908s2016 gw | s |||| 0|eng d
020 _a9783319212937
024 7 _a10.1007/978-3-319-21293-7
_2doi
040 _bspa
_dES-MaUEC
050 4 _aRC388.5
_b2016 EB
245 1 0 _aModern Stroke Rehabilitation through e-Health-based Entertainment
_cedited by Emmanouela Vogiatzaki, Artur Krukowski
250 _a1st edition
264 1 _aCham
_bSpringer International Publishing
_c2015
300 _a1 recurso en línea (IX, 324 páginas 170 ilustraciones, 162 ilustraciones a color.)
336 _2rdacontent
_aTexto (visual)
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
490 0 _aEngineering (Springer-11647)
505 0 _aMotivation, Market and European Perspective -- Requirements and Conceptual Architecture -- Data Flow Driven BAN: Architecture and Algorithms -- Body Area Sensing Networks for Physiological Monitoring -- Motivating Rehabilitation through Competitive Gaming -- Kinect-Based Approach to Upper Limb Rehabilitation -- Virtual Reality Gaming with Immersive User Interfaces -- Personal Health Record based e-Health Service Platform -- Prototyping and Business Potential -- Evaluations with Patients and Lessons Learned.
520 3 _aThis book describes a new, "e-Health" approach to stroke rehabilitation.  The authors propose an alternative approach that combines state of the art ICT technologies ranging from Augmented and Virtual Reality gaming environments to latest advances in immersive user interfaces for delivering a mixed-reality training platform, along with advanced embedded micro sensing and computing devices exhibiting enhanced power autonomy by using the latest Bluetooth Smart communication interfaces and energy saving approaches. These technologies are integrated under the umbrella of an online Personal Health Record (PHR) services allowing for delivery of personalized, patient-centric medical services whether at home, in a clinic or on the move. Describes innovative ways for achieving mixed-reality gaming environments; Enhances immersive experience by combining virtual projections with user interfaces based on body motion analysis; Offers cost-effective body motion capture by hybridizing wearable sensor data; Utilizes energy-efficient micro-embedded sensors for wearable physiological and sensing and activity monitoring applications; Includes innovative, power autonomous sensing using Body Area Networks; Describes the prototype of the portable, integrated rehabilitation training solution.
988 _aEBSPRINGER_2018
650 7 _2embne
_aEnfermedades cerebrovasculares
_9150775
700 1 _aVogiatzaki, Emmanouela.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_997162
700 1 _aKrukowski, Artur
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_0http://id.loc.gov/authorities/names/n2003003961
_1http://viaf.org/viaf/249662806/
_997163
776 0 8 _iEdición impresa:
_z9783319212920
776 0 8 _iEdición impresa:
_z9783319212944
776 0 8 _iEdición impresa:
_z9783319363066
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-21293-7
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b03/2019
_dz
_ea
_zSI