Effect of Kinesiotape in Improving Mobility Capacity in Children with Cerebral Palsy
Bibliographic record
Abstract
Background: The purpose of this study was to examine the effect of application of Kinesiotape over the thigh muscles in improving mobility capacity of children with cerebral palsy.Objective: To find out the effect of kinesiotaping over the thigh muscular along with conventional occupational therapy in improving strengthen of muscles and to improve mobility capacity of children with cerebral palsy. Study Design: Pre Test and Post Test experimental study design.Method: Sixty children with cerebral palsy who were fulfilling the inclusion criteria were selected by convenient sampling from Occupational Therapy unit of Sir Sunderlal Hospital, Banaras Hindu University, Varanasi, Uttar Pradesh, India.A written informed consent and ethical permission was obtained.Handheld dynamometer was used for measuring the strength of knee flexors and extensor.1-minwalk test, 10-m walk Test, lateral-step-up and timed-stair test was used as instrument for measuring improvement in mobility capacity of these children.Therapy for both the groups was given for 1 hour per session.In the experimental group along with conventional occupational therapy, kinesiotape (KT) was applied over the knee flexor and extensor muscles.Results: After the intervention, there was more improvement in experimental group as compared to the control in mobility capacity of children with cerebral palsy.Conclusion: It can be concluded that application of kinesiotape along with conventional occupational therapy can be used to enhance & improve strengthen of knee flexors and extensors in children with cerebral palsy.
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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 | 0.000 | 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 | 0.001 |
| 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".