Speed and Temporal-Distance Adaptations during Treadmill and Overground Walking Following Stroke
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: To compare the maximum gait speed of stroke subjects attained during treadmill and overground in stroke subjects and to identify the temporal-distance determinants of the maximal gait speed. METHODS: Ten individuals with hemiparetic gait deficits and whose walking speeds ranged between 0.24 m/s and 0.82 m/s participated. Five healthy age-matched controls were also tested to provide comparative data for the gait speed transfer between the 2 modes of locomotion. Following a brief habituation process to walking on the treadmill, subjects were tested while walking at comfortable and maximal speeds on the treadmill and overground, in a random order. Main Outcome Measure. Self-selected comfortable and maximum gait speed and temporal-distance factors were acquired using a 6-camera Vicontrade mark motion analysis system and compared between treadmill and overground walking at a similar speed. RESULTS: Overground walking resulted in higher maximal speeds (P < 0.001), greater stride lengths (P < 0.001), and a lower cadence (P < 0.02), as compared to tread-mill. The comfortable gait speed and the maximum stride length proved to be strong determinants for the maximal speed on both modes of locomotion (P < 0.01), but the maximum cadence was correlated to maximum speed only for overground locomotion (P < 0.05). CONCLUSIONS: Stroke subjects walked slower on the treadmill as compared to overground. They also used a different strategy to increase gait speed, relying mostly on increasing the stride length during treadmill ambulation.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it