Wearable Sensors in the Evaluation of Gait and Balance in Neurological Disorders

Suppa, Antonio ; Irrera, Fernanda ; et al.

Basel, Switzerland: MDPI - Multidisciplinary Digital Publishing Institute, 2020

Online E-Book - 274

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View record at Directory of Open Access Books (Volltext)

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.

Titel:	Wearable Sensors in the Evaluation of Gait and Balance in Neurological Disorders
Autor/in / Beteiligte Person:	Suppa, Antonio ; Irrera, Fernanda ; Cabestany, Joan
Link:	View record at Directory of Open Access Books (Volltext)
Veröffentlichung:	Basel, Switzerland: MDPI - Multidisciplinary Digital Publishing Institute, 2020
Medientyp:	E-Book
Umfang:	274
ISBN:	978-3-03943-144-1 (print) ; 978-3-03943-145-8 (print)
DOI:	10.3390/books978-3-03943-145-8
Schlagwort:	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 thema EDItEUR:T Technology, Engineering, Agriculture, Industrial processes:TB Technology: general issues:TBX History of engineering and technology
Sonstiges:	Nachgewiesen in: Directory of Open Access Books Sprachen: English Document Type: eBook File Description: application/octet-stream Language: English Rights: Attribution 4.0 International ; URL: https://creativecommons.org/licenses/by/4.0/ Notes: ONIX_20210501_9783039431441_928

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