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Wearable Sensors in the Evaluation of Gait and Balance in Neurological Disorders
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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.
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Keywords
- acceleration
- accelerometer
- accelerometry
- activities of daily life
- Aging
- Alzheimer’s disease
- asymmetry
- autocorrelation
- back school
- balance
- bio-signals
- Biomedical Signal Processing
- cerebellar ataxia
- Classification
- Cueing
- CV
- Diagnosis
- dynamic balance
- dynamic posturography
- dynamic time warping
- EEG
- EMG
- Gait
- gait analysis
- gait assessment
- gait disorders
- gait metrics
- gait patterns
- gait smoothness
- gait symmetry
- GAITRite
- harmonic ratio
- head injury
- healthy subjects
- History of engineering & technology
- home-monitoring
- IMUs
- inertial measurement units
- inertial sensor
- inertial sensors
- kinematics
- loss of balance
- lower back pain
- Machine learning
- mobile gait analysis
- movement analysis
- multi-regression normalization
- Multiple Sclerosis
- near falls
- parkinson’s disease
- pathological gait
- pattern recognition
- pedestrian dead-reckoning
- personalized medicine
- physiological signals
- postural stability
- posture
- posturography
- pre-impact fall detection
- random forest classifier
- reactive postural responses
- Rehabilitation
- Reliability
- sampling frequency
- six-minute walk
- Stability
- step detection
- stride segmentation
- Stroke
- SVM
- symptoms monitoring
- Technology, engineering, agriculture
- Technology: general issues
- test-retest
- test-retest reliability
- timed up and go test
- trajectory reconstruction
- transcranial direct current stimulation
- Traumatic Brain Injury
- tri-axial accelerometer
- trunk
- turning analysis
- validity
- vestibular syndrome
- wearable
- Wearable electronics
- Wearable sensors
- Wearables
- wireless sensors
- yaw perturbation
Links
DOI: 10.3390/books978-3-03943-145-8Editions