Comparison of Matrix Rhythm Therapy versus Pilates on Pain, Lumbar Flexibility, Functional Impairments, and Pelvic Inclination in Chronic Low Back Pain
Bibliographic record
Abstract
A BSTRACT Introduction: Low back pain is one of the leading causes of disease burden globally. Matrix Rhythm Therapy (MRT) is based on rhythmic micro-oscillations of muscle tissue by the action of mechano-magnetic alternating fields. Pilates exercises have been shown to be helpful in low back pain. This study was conducted to compare the effects of MRT and Pilates exercises on chronic low back pain, lumbar flexibility, functional impairments, and pelvic inclination in chronic low back pain. Materials and Methods: Ethical clearance was obtained by ethical committee of Dr. D. Y. Patil Physiotherapy, Pimpri, Pune. 50 patients diagnosed with chronic low back pain were selected as per inclusion criteria after taking informed consent. Patients were randomly allocated to two groups. Group A (n = 25) received MRT. Group B (n = 25) were given Pilates exercise. Both groups received treatment thrice a week for two weeks. Duration of 45 min. Outcome measures were assessed for both groups at the beginning and end of the study. Outcome measures included Numerical Pain Rating Scale for pain, Modified-modified schober’s test for lumbar flexibility, pelvic inclination using an inclinometer, and Oswestry Low Back Disabaility Questionnaire for functional impairments. Data were analysed using Winpepi. Results: For all outcome measures, a highly significant improvement (p < 0.001) was seen in Group A, a significant improvement (p < 0.005) was seen in group B. Discussion: Pain, restricted movements, reduced flexibility, and pelvic inclination are the consequences of systemic and local disturbances in the logistics of the living processes due to chronic pain in low back region. MRT and Pilates, both individually are effective in treating the same. Conclusion: Both Groups showed significant improvements in patients with CLBP. However, the findings in MRT group highly statistically significant.
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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) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".