LEADER 05201nam 2201417z- 450 001 9910557446403321 005 20231214133447.0 035 $a(CKB)5400000000043276 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/69182 035 $a(EXLCZ)995400000000043276 100 $a20202105d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aWearable Sensors in the Evaluation of Gait and Balance in Neurological Disorders 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 electronic resource (274 p.) 311 $a3-03943-144-7 311 $a3-03943-145-5 330 $aThe aging population and the increased prevalence of neurological diseases have raised the issue of gait and balance disorders as a major public concern worldwide. Indeed, gait and balance disorders are responsible for a high healthcare and economic burden on society, thus, requiring new solutions to prevent harmful consequences. Recently, wearable sensors have provided new challenges and opportunities to address this issue through innovative diagnostic and therapeutic strategies. Accordingly, the book ?Wearable Sensors in the Evaluation of Gait and Balance in Neurological Disorders? collects the most up-to-date information about the objective evaluation of gait and balance disorders, by means of wearable biosensors, in patients with various types of neurological diseases, including Parkinson?s disease, multiple sclerosis, stroke, traumatic brain injury, and cerebellar ataxia. By adopting wearable technologies, the sixteen original research articles and reviews included in this book offer an updated overview of the most recent approaches for the objective evaluation of gait and balance disorders. 606 $aHistory of engineering & technology$2bicssc 610 $ainertial measurement units 610 $agait analysis 610 $abiomedical signal processing 610 $apattern recognition 610 $astep detection 610 $aphysiological signals 610 $aParkinson?s disease 610 $apathological gait 610 $aturning analysis 610 $awearable sensors 610 $amobile gait analysis 610 $awearables 610 $ainertial sensors 610 $atraumatic brain injury 610 $adynamic balance 610 $agait disorders 610 $agait patterns 610 $ahead injury 610 $agait symmetry 610 $agait smoothness 610 $aacceleration 610 $amachine learning 610 $aclassification 610 $aaccelerometer 610 $aGAITRite 610 $amulti-regression normalization 610 $aSVM 610 $arandom forest classifier 610 $abalance 610 $agait 610 $atranscranial direct current stimulation 610 $awearable electronics 610 $aIMUs 610 $acueing 610 $aposture 610 $arehabilitation 610 $acerebellar ataxia 610 $amovement analysis 610 $apersonalized medicine 610 $astroke 610 $aasymmetry 610 $atrunk 610 $areliability 610 $avalidity 610 $aaging 610 $areactive postural responses 610 $ayaw perturbation 610 $akinematics 610 $apostural stability 610 $adynamic posturography 610 $amultiple sclerosis 610 $agait metrics 610 $atest-retest reliability 610 $asampling frequency 610 $aaccelerometry 610 $aautocorrelation 610 $aharmonic ratio 610 $asix-minute walk 610 $aback school 610 $ainertial sensor 610 $alower back pain 610 $astability 610 $atimed up and go test 610 $agait assessment 610 $atri-axial accelerometer 610 $aCV 610 $ahealthy subjects 610 $atest-retest 610 $atrajectory reconstruction 610 $astride segmentation 610 $adynamic time warping 610 $apedestrian dead-reckoning 610 $anear falls 610 $aloss of balance 610 $apre-impact fall detection 610 $aactivities of daily life 610 $abio-signals 610 $aEEG 610 $aEMG 610 $awireless sensors 610 $aposturography 610 $aAlzheimer?s disease 610 $avestibular syndrome 610 $adiagnosis 610 $asymptoms monitoring 610 $awearable 610 $ahome-monitoring 615 7$aHistory of engineering & technology 700 $aSuppa$b Antonio$4edt$01311343 702 $aIrrera$b Fernanda$4edt 702 $aCabestany$b Joan$4edt 702 $aSuppa$b Antonio$4oth 702 $aIrrera$b Fernanda$4oth 702 $aCabestany$b Joan$4oth 906 $aBOOK 912 $a9910557446403321 996 $aWearable Sensors in the Evaluation of Gait and Balance in Neurological Disorders$93030269 997 $aUNINA