Explicit versus implicit lower extremity sensory retraining for post-stroke chronic sensory deficits: a randomized controlled trial.

Purpose: Sensory impairment post-stroke limits rehabilitation of balance and gait. This study aims to compare the effect of explicit sensory retraining (ESR) versus implicit repeated exposure (IRE) to stimuli of the lower extremity, assessing their effects on sensation, balance, and gait in individuals with chronic post-stroke sensory impairment.

Materials And Methods: A two-arm parallel double-blind multicenter randomized controlled trial was conducted in physical therapy outpatient clinics.

Automatic and Efficient Fall Risk Assessment Based on Machine Learning.

Automating fall risk assessment, in an efficient, non-invasive manner, specifically in the elderly population, serves as an efficient means for implementing wide screening of individuals for fall risk and determining their need for participation in fall prevention programs. We present an automated and efficient system for fall risk assessment based on a multi-depth camera human motion tracking system, which captures patients performing the well-known and validated Berg Balance Scale (BBS). Trained machine learning classifiers predict the patient's 14 scores of the BBS by extracting spatio-temporal features from the captured human motion records.

Assessment of texture discrimination ability at the sole of the foot in subjects with chronic stroke compared with young and elderly subjects with no neurological deficits: a reliability and validity study.

Purpose: To examine validity and test-retest reliability of a sensory test developed to evaluate ability of elderly subjects with/out a stroke to discriminate between textures with the sole of their foot.

Methods: Subjects poststroke, old adults and young subjects were tested twice. Twelve materials relevant to foot function (e.