05201nam 2201417z- 450 991055744640332120231214133447.0(CKB)5400000000043276(oapen)https://directory.doabooks.org/handle/20.500.12854/69182(EXLCZ)99540000000004327620202105d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierWearable Sensors in the Evaluation of Gait and Balance in Neurological DisordersBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20201 electronic resource (274 p.)3-03943-144-7 3-03943-145-5 The 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.History of engineering & technologybicsscinertial measurement unitsgait analysisbiomedical signal processingpattern recognitionstep detectionphysiological signalsParkinson’s diseasepathological gaitturning analysiswearable sensorsmobile gait analysiswearablesinertial sensorstraumatic brain injurydynamic balancegait disordersgait patternshead injurygait symmetrygait smoothnessaccelerationmachine learningclassificationaccelerometerGAITRitemulti-regression normalizationSVMrandom forest classifierbalancegaittranscranial direct current stimulationwearable electronicsIMUscueingposturerehabilitationcerebellar ataxiamovement analysispersonalized medicinestrokeasymmetrytrunkreliabilityvalidityagingreactive postural responsesyaw perturbationkinematicspostural stabilitydynamic posturographymultiple sclerosisgait metricstest-retest reliabilitysampling frequencyaccelerometryautocorrelationharmonic ratiosix-minute walkback schoolinertial sensorlower back painstabilitytimed up and go testgait assessmenttri-axial accelerometerCVhealthy subjectstest-retesttrajectory reconstructionstride segmentationdynamic time warpingpedestrian dead-reckoningnear fallsloss of balancepre-impact fall detectionactivities of daily lifebio-signalsEEGEMGwireless sensorsposturographyAlzheimer’s diseasevestibular syndromediagnosissymptoms monitoringwearablehome-monitoringHistory of engineering & technologySuppa Antonioedt1311343Irrera FernandaedtCabestany JoanedtSuppa AntonioothIrrera FernandaothCabestany JoanothBOOK9910557446403321Wearable Sensors in the Evaluation of Gait and Balance in Neurological Disorders3030269UNINA