LEADER 04788nam 2201297z- 450 001 9910557359503321 005 20231214132945.0 035 $a(CKB)5400000000042297 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76891 035 $a(EXLCZ)995400000000042297 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aWearable Movement Sensors for Rehabilitation: From Technology to Clinical Practice 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 electronic resource (328 p.) 311 $a3-0365-2063-5 311 $a3-0365-2064-3 330 $aThis Special Issue shows a range of potential opportunities for the application of wearable movement sensors in motor rehabilitation. However, the papers surely do not cover the whole field of physical behavior monitoring in motor rehabilitation. Most studies in this Special Issue focused on the technical validation of wearable sensors and the development of algorithms. Clinical validation studies, studies applying wearable sensors for the monitoring of physical behavior in daily life conditions, and papers about the implementation of wearable sensors in motor rehabilitation are under-represented in this Special Issue. Studies investigating the usability and feasibility of wearable movement sensors in clinical populations were lacking. We encourage researchers to investigate the usability, acceptance, feasibility, reliability, and clinical validity of wearable sensors in clinical populations to facilitate the application of wearable movement sensors in motor rehabilitation. 517 $aWearable Movement Sensors for Rehabilitation 606 $aTechnology: general issues$2bicssc 610 $aaccelerometers 610 $awearable sensors 610 $aexercise 610 $ameasurement 610 $aGMFCS level 610 $arelative orientation estimation 610 $aIMU 610 $amagnetometer-free 610 $agait analysis 610 $amachine learning 610 $ainertial measurement units 610 $aneurological disorders 610 $afalls 610 $avalidity 610 $a3-D motion analysis 610 $asingle leg squat 610 $amotion capture 610 $aclinical 610 $arehabilitation 610 $amotor function 610 $aoutcomes 610 $aimplementation 610 $alocomotion 610 $aassistive devices 610 $aembedded sensors 610 $aaccelerometry 610 $aphysical activity 610 $aFourier transform 610 $afunctional linear model 610 $awalking distance 610 $alower limb amputation 610 $agait 610 $aLie group 610 $aconstrained extended Kalman filter 610 $apose estimation 610 $awearable devices 610 $adistance measurement 610 $agait planning 610 $astride length 610 $acenter of pressure 610 $ahuman-machine interaction 610 $aperinatal stroke 610 $akinematics 610 $aupper extremity 610 $acerebral palsy 610 $ahemiplegia 610 $aconstraint 610 $ainertial measurement unit 610 $awireless sensors network 610 $amotion tracking 610 $arange of motion 610 $ashoulder 610 $agoniometer 610 $aspinal cord injury 610 $atetraplegia 610 $aclinical setting 610 $acircadian motor behavior 610 $abody-worn sensors 610 $aolder adults 610 $aphysically active workers 610 $alow back pain 610 $ainertial motion units 610 $awearable sensor 610 $areal-time gait detection 610 $ainsole pressure sensors 610 $apathological gait 610 $agait rehabilitation 610 $aassistive device 610 $awearable technology 610 $astroke 610 $aphysical therapy 610 $aarm use 610 $aupper limb performance 610 $aaccelerometer 610 $asensor 610 $awalking 615 7$aTechnology: general issues 700 $aRibbers$b Gerard M$4edt$01302209 702 $aRegterschot$b G.R.H$4edt 702 $aBussmann$b J.B.J$4edt 702 $aRibbers$b Gerard M$4oth 702 $aRegterschot$b G.R.H$4oth 702 $aBussmann$b J.B.J$4oth 906 $aBOOK 912 $a9910557359503321 996 $aWearable Movement Sensors for Rehabilitation: From Technology to Clinical Practice$93026253 997 $aUNINA