TY  - GEN
AU  - Suppa,Antonio
AU  - Irrera,Fernanda
AU  - Cabestany,Joan
AU  - Suppa,Antonio
AU  - Irrera,Fernanda
AU  - Cabestany,Joan
TI  - Wearable Sensors in the Evaluation of Gait and Balance in Neurological Disorders
SN  - books978-3-03943-145-8
PY  - 2020///
CY  - Basel, Switzerland
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - History of engineering & technology
KW  - bicssc
KW  - inertial measurement units
KW  - gait analysis
KW  - biomedical signal processing
KW  - pattern recognition
KW  - step detection
KW  - physiological signals
KW  - Parkinson’s disease
KW  - pathological gait
KW  - turning analysis
KW  - wearable sensors
KW  - mobile gait analysis
KW  - wearables
KW  - inertial sensors
KW  - traumatic brain injury
KW  - dynamic balance
KW  - gait disorders
KW  - gait patterns
KW  - head injury
KW  - gait symmetry
KW  - gait smoothness
KW  - acceleration
KW  - machine learning
KW  - classification
KW  - accelerometer
KW  - GAITRite
KW  - multi-regression normalization
KW  - SVM
KW  - random forest classifier
KW  - balance
KW  - gait
KW  - transcranial direct current stimulation
KW  - wearable electronics
KW  - IMUs
KW  - cueing
KW  - posture
KW  - rehabilitation
KW  - cerebellar ataxia
KW  - movement analysis
KW  - personalized medicine
KW  - stroke
KW  - asymmetry
KW  - trunk
KW  - reliability
KW  - validity
KW  - aging
KW  - reactive postural responses
KW  - yaw perturbation
KW  - kinematics
KW  - postural stability
KW  - dynamic posturography
KW  - multiple sclerosis
KW  - gait metrics
KW  - test-retest reliability
KW  - sampling frequency
KW  - accelerometry
KW  - autocorrelation
KW  - harmonic ratio
KW  - six-minute walk
KW  - back school
KW  - inertial sensor
KW  - lower back pain
KW  - stability
KW  - timed up and go test
KW  - gait assessment
KW  - tri-axial accelerometer
KW  - CV
KW  - healthy subjects
KW  - test-retest
KW  - trajectory reconstruction
KW  - stride segmentation
KW  - dynamic time warping
KW  - pedestrian dead-reckoning
KW  - near falls
KW  - loss of balance
KW  - pre-impact fall detection
KW  - activities of daily life
KW  - bio-signals
KW  - EEG
KW  - EMG
KW  - wireless sensors
KW  - posturography
KW  - Alzheimer’s disease
KW  - vestibular syndrome
KW  - diagnosis
KW  - symptoms monitoring
KW  - wearable
KW  - home-monitoring
N1  - Open Access
N2  - 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
UR  - https://mdpi.com/books/pdfview/book/2954
UR  - https://directory.doabooks.org/handle/20.500.12854/69182
ER  -