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024 7 _a10.1007/978-981-97-2439-0
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_2bicssc
072 7 _aTEC041000
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100 1 _aLeMoyne, Robert.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_978884
245 1 0 _aWearable and Wireless Systems for Healthcare I
_h[electronic resource] :
_bGait and Reflex Response Quantification /
_cby Robert LeMoyne, Timothy Mastroianni.
250 _a2nd ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXVI, 200 p. 73 illus., 20 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 ;
_v47
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 -- Evolutions for Wearable and Wireless Systems -- Gait Analysis with Advanced Wearable and Wireless Systems -- New Developments in Homebound Therapy Enabled Through Wearable and Wireless Systems -- New Quantifiable Exercise with Wearable and Wireless Systems -- Deep Learning and Neuromorphic Applications for Classifying Health Status Using Wearable and Wireless Systems -- Future Perspectives for Wearable and Wireless Systems for Healthcare.
520 _aThis book is the second edition of the one originally published in 2017. The original publication features the discovery of numerous novel applications for the use of smartphones and portable media devices for the quantification of gait, reflex response, and an assortment of other concepts that constitute first-in-the-world applications for these devices. Since the first edition, numerous evolutions involving the domain of wearable and wireless systems for healthcare have transpired warranting the publication of the second edition. This volume covers wearable and wireless systems for healthcare that are far more oriented to the unique requirements of the biomedical domain. The paradigm-shifting new wearables have been successfully applied to gait analysis, homebound therapy, and quantifiable exercise. Additionally, the confluence of wearable and wireless systems for healthcare with deep learning and neuromorphic applications for classification is addressed. The authors expect that these significant developments make this book valuable for all readers.
650 0 _aTelecommunication.
650 0 _aPhysical therapy.
_964407
650 0 _aHuman physiology.
650 0 _aApplication software.
650 1 4 _aCommunications Engineering, Networks.
650 2 4 _aPhysiotherapy.
_972811
650 2 4 _aHuman Physiology.
650 2 4 _aComputer and Information Systems Applications.
700 1 _aMastroianni, Timothy.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_978885
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819724383
776 0 8 _iPrinted edition:
_z9789819724406
776 0 8 _iPrinted edition:
_z9789819724413
830 0 _aSmart Sensors, Measurement and Instrumentation,
_x2194-8410 ;
_v47
_967547
856 4 0 _uhttps://doi.org/10.1007/978-981-97-2439-0
912 _aZDB-2-ENG
912 _aZDB-2-SXE
999 _c60817
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