Melhora funcional de pacientes com doença de Parkinson após treinamento em ambientes real e virtual
Bibliographic record
Abstract
The objective of this work was to compare the effects of two balance training programs, one Nintendo Wii Fit-based and the other traditionally-based without the use of a gaming system, on the balance, functionality and cognition of patients with Parkinson´s disease.It was a prospective, single blinded, randomized clinical trial performed at Brazil Parkinson Association and Center of Research of the courses of Speech Therapy, Physical Therapy and Occupational Therapy of São Paulo University.32 patients with Parkinson´s disease on stages 1 and 2,5 of Hoehn e Yahr participated of this work.Patients were randomized in control and experimental group, 16 each one.Both groups performed 14 training sessions, twice a week, for seven weeks.Each session was composed of a 30 minuteglobal-exercise series including stretching, muscle strengthen and axial mobility exercises.After this, both groups performed more 30 minutes of balance training: the control group performed balance exercises without external cues, visual or auditory feedbacks or cognitive stimulations; the experimental group performed the balance training with 10 Wii Fit games which stimulated motor and cognitive functions.The main outcome measures were: (1) Unified Parkinson´s Disease Rating Scale (UPDRS); (2) Berg Balance Scale (BBS); (3) Unipedal Stance Test (UST) and (4) Montreal Cognitive Assessment (MoCA).The statistical analysis was done by repeated measures ANOVA in order to assess the possible differences among the analyzed variables.Both groups showed improvement in the section II of UPDRS, BBS, UST and MoCA.Patients with Parkinson´s disease showed balance and cognitive improvement with positive repercussion on daily living activities after 14 sessions of balance training without additional advantages to the virtual training.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".