Kolonisten spel huurder classification of walking handicap in the stroke population Erge, ernstige extreem Brullen
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Walk the Talk: Current Evidence for Walking Recovery After Stroke, Future Pathways and a Mission for Research and Clinical Practice | Stroke
A machine learning approach to identifying important features for achieving step thresholds in individuals with chronic stroke | PLOS ONE
Frontiers | Indices of Loading and Propulsive Ability in the Gait of Patients With Chronic Stroke With Equinus Foot Deviation: A Correlation Study
The relationship between energy expenditure and physical functions in patients hospitalised for stroke | Scientific Reports
PDF] Can Quantitative Balance Measures Discriminate between Functional Ambulation Categories in Chronic Stroke Survivors? | Semantic Scholar
Measurement of Community Ambulation After Stroke | Stroke
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Which Balance Evaluation Systems Test sections best distinguish levels of post-stroke functional walking status? | Journal of Rehabilitation Medicine
Classification of walking ability in patients with stroke by walking distance from 6-minute walk test | Thai Journal of Physical Therapy
PDF] Time dependency of walking classification in stroke. | Semantic Scholar
PDF] Time dependency of walking classification in stroke. | Semantic Scholar
Use of the Houghton Scale to Classify Community and Household Walking Ability in People With Lower-Limb Amputation: Criterion-Related Validity - ScienceDirect
Community Ambulation: Clinical Criteria for ... - OMICS Group
Full article: Walking speed as a predictor of community mobility and quality of life after stroke
Response to Letter Regarding Article, â•œPatient-Reported Measures Provide Unique Insights Into Motor Function After Stroke
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PDF) Classification of Walking Handicap in the Stroke Population
PDF] Time dependency of walking classification in stroke. | Semantic Scholar
Fibrofatty filum terminale: long-term outcomes from a Singapore children's hospital in: Journal of Neurosurgery: Pediatrics Volume 31 Issue 3 (2022) Journals
JPM | Free Full-Text | Machine Learning-Based Classification of Dependence in Ambulation in Stroke Patients Using Smartphone Video Data