00772nam0 2200289 450 991088199960332120240904152159.0978889805356820240904d2022----km y0itay50 baitaIT 001yyConversazioni sul change managementMilanoEste2022156 p.ill.23 cm2001AziendeOrganizzazione658.422itaMasper,Moira1766259Vizioli,Giorgio1766260ITUNINAREICATUNIMARCBK9910881999603321658.4 MAS 212033BFSBFSConversazioni sul change management4210046UNINA04548nam 2201213z- 450 991057687230332120220621(CKB)5720000000008453(oapen)https://directory.doabooks.org/handle/20.500.12854/84536(oapen)doab84536(EXLCZ)99572000000000845320202206d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierWearables for Movement Analysis in HealthcareBaselMDPI - Multidisciplinary Digital Publishing Institute20221 online resource (252 p.)3-0365-4019-9 3-0365-4020-2 Quantitative movement analysis is widely used in clinical practice and research to investigate movement disorders objectively and in a complete way. Conventionally, body segment kinematic and kinetic parameters are measured in gait laboratories using marker-based optoelectronic systems, force plates, and electromyographic systems. Although movement analyses are considered accurate, the availability of specific laboratories, high costs, and dependency on trained users sometimes limit its use in clinical practice. A variety of compact wearable sensors are available today and have allowed researchers and clinicians to pursue applications in which individuals are monitored in their homes and in community settings within different fields of study, such movement analysis. Wearable sensors may thus contribute to the implementation of quantitative movement analyses even during out-patient use to reduce evaluation times and to provide objective, quantifiable data on the patients' capabilities, unobtrusively and continuously, for clinical purposes.BiochemistrybicsscBiology, life sciencesbicsscResearch and information: generalbicssc6-min walking testaccelerometerACLangle-angle diagramsbiomechanical phenomenabiomechanics analysisbody sensor networkBox and Block testbradykinesiaclinicalcyclogramsdecision treese-textilefoot drop stimulationgaitgait analysisground reaction forcehand trajectorieshemiparesisIMUinertial measurement sensorinertial measurement systemsinertial measurement unit (IMU)inertial measurement unitsinertial sensorinertial sensorsinertial sensors networkInternet of Thingskinematickinematic datakinematicslimb prosthesism-healthmarker-based optoelectronic systemmotion analysismotion capturemotion capture validationmotor fluctuationmovement analysisn/anaturalistic monitoringobesityolder adultsoptoelectronic systemorthopedicParkinson's diseaseplantar pressurereal-liferehabilitationreliabilityRGB-D sensorssensory-motor gait disorderssmoothnessspatial-temporal analysisspatio-temporal parametersstrokesymmetrysymmetry indexupper extremityupper limbvalidationwalkingwearable deviceswearable inertial sensorswearable movement sensorwearable sensorswearable systemBiochemistryBiology, life sciencesResearch and information: generalCapodaglio Paoloedt1296667Cimolin VeronicaedtCapodaglio PaoloothCimolin VeronicaothBOOK9910576872303321Wearables for Movement Analysis in Healthcare3024199UNINA