Immediate Effect of a Comprehensive Foot Mobility and Strengthening Treatment on Ankle Muscle Activation in Children with Spastic Diplegia
Bibliographic record
Abstract
Foot mobility and strengthening treatment (FMST) is a routinely practiced management strategy in musculoskeletal rehabilitation to improve ankle and foot alignment and muscle function, which prevents joint deformities. The FMST may contribute to improvements in foot alignment and muscle function in children with cerebral palsy (CP). However, treatment influence on muscle imbalances and strength in children with spastic diplegic CP is not yet documented. The aim of the study was to determine the effect of FMST on tibialis anterior (TA), medial gastrocnemius (MG), peroneus longus (PL), and soleus muscle activity using electromyography (EMG) in children with spastic diplegic CP. Twenty children with spastic diplegia (mean age: 7.4 years) with GMFCS levels I, II and III were included in this pre and post-experimental (preliminary) study. Muscle activation of TA, MG, PL, and soleus was recorded using surface EMG in a standing position before and after providing the intervention. Muscle activation in RMS-EMG (mV) was calculated. Findings showed a significant increase in muscle activation of TA, MG, and PL in standing position following the intervention. The increase in soleus muscle activation in standing was not statistically significant. We hypothesized that FMST could alter the muscle recruitment pattern. Our findings showed immediate improvement in muscle activation after the intervention. Future studies should consider its carryover effect on motor performance and gait using functional outcomes.
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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) | 0.001 | 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".