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Palabras clave – provistas por la editorial

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