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Updated: Jun 25, 2026

Motor Dual-Tasks for Gait Analysis and Evaluation in Post-Stroke Patients
Published on: March 11, 2021
Timed walking tests correlate with daily step activity in persons with stroke
1Department of Surgery, University of Auckland, Auckland, New Zealand. s.mudge@auckland.ac.nz
The six-minute walk test (6MWT) best predicts usual walking performance in stroke survivors compared to other clinical measures. Activity monitoring captures unique aspects of walking not measured by clinical tests.
Area of Science:
- Neurology
- Rehabilitation Medicine
- Biomedical Engineering
Background:
- Stroke survivors often experience impaired walking ability.
- Clinical measures of walking are essential for assessing recovery.
- Activity monitors offer objective, continuous data on daily mobility.
Purpose of the Study:
- To evaluate the correlation between four clinical walking assessments and StepWatch Activity Monitor data.
- To determine which clinical measure best predicts objective walking performance in stroke patients.
Main Methods:
- Correlational study involving 50 participants post-stroke.
- Utilized Rivermead Mobility Index (RMI), Rivermead Motor Assessment (RMA), 6-minute walk test (6MWT), and 10-meter walk test (10MWT).
- Compared clinical scores with StepWatch outputs (daily step counts, stepping rates).
Main Results:
- The 6-minute walk test (6MWT) and 10-meter walk test (10MWT) showed moderate to high correlations with StepWatch outputs.
- The 6MWT was the strongest predictor of StepWatch outputs, explaining 38-54% of variance.
- Age and RMI also predicted some StepWatch outputs.
Conclusions:
- The 6MWT demonstrates the strongest relationship with objective activity monitoring data in stroke survivors.
- Activity monitoring provides complementary information to clinical tests for assessing walking performance.
- StepWatch activity monitoring should be considered an adjunct outcome measure in stroke rehabilitation.
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