Wearable Sensors in the Evaluation of Gait and Balance in Neurological Disorders
Suppa, Antonio
Wearable Sensors in the Evaluation of Gait and Balance in Neurological Disorders - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020 - 1 electronic resource (274 p.)
Open Access
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.
Creative Commons
English
books978-3-03943-145-8 9783039431441 9783039431458
10.3390/books978-3-03943-145-8 doi
History of engineering & technology
inertial measurement units gait analysis biomedical signal processing pattern recognition step detection physiological signals Parkinson's disease pathological gait turning analysis wearable sensors mobile gait analysis wearables inertial sensors traumatic brain injury dynamic balance gait disorders gait patterns head injury gait symmetry gait smoothness acceleration machine learning classification accelerometer GAITRite multi-regression normalization SVM random forest classifier balance gait transcranial direct current stimulation wearable electronics IMUs cueing posture rehabilitation cerebellar ataxia movement analysis personalized medicine stroke asymmetry trunk reliability validity aging reactive postural responses yaw perturbation kinematics postural stability dynamic posturography multiple sclerosis gait metrics test-retest reliability sampling frequency accelerometry autocorrelation harmonic ratio six-minute walk back school inertial sensor lower back pain stability timed up and go test gait assessment tri-axial accelerometer CV healthy subjects test-retest trajectory reconstruction stride segmentation dynamic time warping pedestrian dead-reckoning near falls loss of balance pre-impact fall detection activities of daily life bio-signals EEG EMG wireless sensors posturography Alzheimer's disease vestibular syndrome diagnosis symptoms monitoring wearable home-monitoring
Wearable Sensors in the Evaluation of Gait and Balance in Neurological Disorders - Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020 - 1 electronic resource (274 p.)
Open Access
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.
Creative Commons
English
books978-3-03943-145-8 9783039431441 9783039431458
10.3390/books978-3-03943-145-8 doi
History of engineering & technology
inertial measurement units gait analysis biomedical signal processing pattern recognition step detection physiological signals Parkinson's disease pathological gait turning analysis wearable sensors mobile gait analysis wearables inertial sensors traumatic brain injury dynamic balance gait disorders gait patterns head injury gait symmetry gait smoothness acceleration machine learning classification accelerometer GAITRite multi-regression normalization SVM random forest classifier balance gait transcranial direct current stimulation wearable electronics IMUs cueing posture rehabilitation cerebellar ataxia movement analysis personalized medicine stroke asymmetry trunk reliability validity aging reactive postural responses yaw perturbation kinematics postural stability dynamic posturography multiple sclerosis gait metrics test-retest reliability sampling frequency accelerometry autocorrelation harmonic ratio six-minute walk back school inertial sensor lower back pain stability timed up and go test gait assessment tri-axial accelerometer CV healthy subjects test-retest trajectory reconstruction stride segmentation dynamic time warping pedestrian dead-reckoning near falls loss of balance pre-impact fall detection activities of daily life bio-signals EEG EMG wireless sensors posturography Alzheimer's disease vestibular syndrome diagnosis symptoms monitoring wearable home-monitoring