Investigating the Effects of the SurroGait Rx™ Device on Postural Stability, Gait, and MSIS-29 Outcomes in People with Multiple Sclerosis
Bibliographic record
Abstract
The objective of this study was to investigate eight week training effects, followed by eight weeks of washout effects with a newly developed medical device (the SurroGait Rx™ [Orpyx Medical Technologies Inc., Calgary, Canada]) on physical and psychological impacts of multiple sclerosis (MS), gait, and balance parameters in individuals with MS.Seven individuals with MS completed the 16-week protocol, which included baseline, post-training (8 weeks) and post-washout (16 weeks) sessions.During each session, impact of MS on the patient (MSIS-29), gait (T25FW, stride variables), and balance (postural sway trajectory) parameters were assessed.Results showed significant improvements in the MSIS-29 scores after training, no effect on gait variables, and longer postural sway trajectories with the device on versus off.There were no significant training effects in the balance tasks.Future studies are warranted using individuals with more advanced cases of MS to more fully understand the potential benefits of the SurroGait Rx.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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".