Preliminary Study on Effect of Motor Imagery Combined With Low-Frequency Pulsed Electrical Stimulation Therapy on Upper Limb Function of Young Stroke Patients
Bibliographic record
Abstract
Background: To observe and explore the clinical effect of motor imagery therapy (MIT) combined with low-frequency pulsed electrical stimulation therapy (LFPEST) on improving upper limb function in young stroke patients. Methods: Eighty-one young stroke patients with hemiplegia were divided into MIT group, LFPEST group and combined treatment group. Fugl-Meyer assessment (FMA), functional test hemiplegic upper extremity (FTHUE) and modified Barthel Index (MBI) were used to evaluate the upper limb function and activities of daily living before and 6 weeks after treatment. Results: After treatment, the FMA score, FTHUE grading and MBI score of the combined treatment group and the MIT group were significantly higher than those of the LFPEST group (P < 0.05), and the curative effect of the combined treatment group was significantly higher than that of the MIT group (P < 0.05). Conclusions: MIT combined with LFPEST has more obvious curative effect than LFPEST and MIT, which can significantly improve the upper limb function, hand function and daily living ability of young stroke patients with hemiplegia. J Neurol Res. 2021;11(3-4):54-59 doi: https://doi.org/10.14740/jnr661
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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 | 0.000 |
| 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) | 0.002 | 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".