04408nam a22005295i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001800172072001600190072002300206072001500229100008500244245016000329250001800489264007200507300006500579336002600644337002600670338003600696347002400732490006900756505131500825520107202140650002303212650002903235650002203264650002603286650004203312650002603354650002203380650005103402700009003453710003403543773002603577776003603603776003603639776003603675830007603711856004603787912001403833912001403847999001703861978-981-97-2439-0DE-He21320251030112318.0cr nn 008mamaa240618s2024    si |    s    |||| 0|eng d  a97898197243909978-981-97-2439-07 a10.1007/978-981-97-2439-02doi 4aTK5101-5105.9 7aTJK2bicssc 7aTEC0410002bisacsh 7aTJK2thema1 aLeMoyne, Robert.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut97888410aWearable and Wireless Systems for Healthcare Ih[electronic resource] :bGait and Reflex Response Quantification /cby Robert LeMoyne, Timothy Mastroianni.  a2nd ed. 2024. 1aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2024.  aXVI, 200 p. 73 illus., 20 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aSmart Sensors, Measurement and Instrumentation,x2194-8410 ;v470 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.  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. 0aTelecommunication. 0aPhysical therapy.964407 0aHuman physiology. 0aApplication software.14aCommunications Engineering, Networks.24aPhysiotherapy.97281124aHuman Physiology.24aComputer and Information Systems Applications.1 aMastroianni, Timothy.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut9788852 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978981972438308iPrinted edition:z978981972440608iPrinted edition:z9789819724413 0aSmart Sensors, Measurement and Instrumentation,x2194-8410 ;v4796754740uhttps://doi.org/10.1007/978-981-97-2439-0  aZDB-2-ENG  aZDB-2-SXE  c60817d60817