A combination of multimodal physical exercises in real and virtual environments for individuals after chronic stroke: study protocol for a randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Multimodal physical exercises already have well-established benefits for the post-stroke population that influence gait functional capacity, balance, gait, cognition, and quality of life. This type of intervention can be performed in both real and virtual environments. Considering the characteristics of both environments, it is questioned to what extent the combination of interventions in real and virtual environments could result in improvement in post-stroke impairments. METHODS/DESIGN: We will conduct a randomized clinical trial with three groups: a real multimodal group (RMG), a virtual multimodal group (VMG), and a combined multimodal group (CMG). It was estimated that we will need a sample of 36 participants (12 per group). RMG individuals will only perform multimodal physical exercises in a real environment two times per week for 60 min per session for 15 weeks. VMG individuals will perform exercises of the same duration over the same time frame but only in a virtual environment. CMG individuals will hold a weekly session in a real environment and another weekly session in virtual environment. The primary outcome measure will be health-related quality of life, evaluated using the Stroke Impact Scale; effects on cognition (Montreal Cognitive Assessment), balance (Berg Balance Scale), mobility (Timed Up & Go), self-selected gait speed (10-meter walk test), and gait functional capacity (6-min walk test) will be investigated as secondary outcome measures. Participants will be evaluated before the beginning of the intervention, immediately after the end of the intervention, and at 1-month follow-up without exercise. If the data meet the assumptions of the parametric analysis, the results will be evaluated by analysis of variance (3 × 3) for the group factor, with repeated measures while taking into account the time factor. The post hoc Tukey test will be used to detect differences (α = 0.05). DISCUSSION: This study represents the first clinical trial to include three groups considering physical exercise in real and virtual environments, isolated and combined, that counterbalances the intensity and volume of training in all groups. This study also includes a control of progression in all groups along the 15-week intervention. The outcome measures are innovative because, according to International Classification of Functioning, Disability and Health, activity and participation are the targets for effectiveness evaluation. TRIAL REGISTRATION: Combinação de exercícios físicos multimodais em ambientes real e virtual para indivíduos pós acidente vascular cerebral crônico, RBR-4pt72m . Registered on 29 August 2016.
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 | 0.021 | 0.023 |
| Meta-epidemiology (narrow) | 0.007 | 0.003 |
| Meta-epidemiology (broad) | 0.017 | 0.005 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.060 | 0.010 |
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".