Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Walking activity is an important part of exercise prescription for stroke survivors. The purpose of this study was to: (1) compare ambulatory activity parameters in subacute stroke survivors over three time periods; and (2) discuss options for measurement of ambulatory activity data with respect to absolute activity, intensity of activity, and variability and pattern of activity. METHODS: Ten subacute stroke survivors participated (mean+/-SD; age: 66+/-15 years; time from stroke to discharge: 75+/-31 days). Data collection was completed across three time periods, predischarge, 2 weeks postdischarge, and 6 weeks postdischarge. The Step Activity Monitor (Cyma Corporation) was used to measure daily activity parameters. Parameters representing dose, intensity, and variability/pattern of activity were determined using MatLab. RESULTS: Minutes of activity and length of activity bouts significantly increased from predischarge to 6 weeks postdischarge (P=0.030). CONCLUSIONS: The measurement of a variety of ambulatory activity parameters may aid clinicians and stroke survivors to determine whether exercise recommendations are being met with daily activity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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) | 0.002 | 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".