Limits of balance recovery in hemiparetic stroke individuals during corrective inplace and stepping responses
Bibliographic record
Abstract
Stroke is a leading cause of motor impairment leading to disability and restricted mobility. Individuals suffered as stroke have difficulty walking, low gait speeds and are unable to meet different demands like walking on all support surfaces, uneven terrain, ramps and stairs. Researchers have suggested a role of motor cortex in regulation of posture and balance, however none of the physiological studies done as yet have been able to prove a cortical influence in regulation of corrective balance reactions. Limited information is available regarding corrective (feed-back) balance responses in strokes during dynamic tasks such as walking, stepping or gait initiation. A number of studies have shown correlation between impaired standing balance and loss of walking function in the stroke subjects. The purpose of this study was to evaluate the limits of corrective balance reactions in chronic stroke individuals and healthy controls to unexpected disturbances of varying magnitudes during a leg-lifting task. This task which places the subject in single limb support and reflects the single limb support phase during the task of walking. The single leg-lifting task allows one to quantify corrective inplace as well as stepping responses. (Abstract shortened by UMI.)
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".