Effect of Multi-channel Functional Electrical Stimulation on Cognitive Function of Bedridden Elderly
Bibliographic record
Abstract
Objective:To explore the effect of multi-channel functional electrical stimulation (FES) on the cognitive function of bedridden elderly, and observe its effect on the complications due to long-term bed, such as pulmonary infection, urinary tract infection and pressure sores.Methods:76 bedridden elderly were randomly assigned to the FES group (<italic>n</italic>=38) and control group (<italic>n</italic>=38). Both groups received routine treatment and basic nursing. The FES group was added with multi-channel FES for two weeks, once a day and five times each week. Before and after treatment, the Montreal cognitive assessment (MoCA) scores and event related potentials P300 were used to evaluate the cognitive function, modified Barthel index (MBI) was used to evaluate the activities of daily living (ADL), and the complications, such as pulmonary infection, urinary tract infection and pressure sores were evaluated.Results:After two weeks, the MoCA score and MBI score in both groups were significantly increased than those before the treatment (<italic>P</italic><0.05), and the latency of event related potentials P300 was significantly shorter than that before the treatment (<italic>P</italic><0.05). The incidence of pulmonary infection and urinary tract infection in FES group were lower than those of control group after two weeks (<italic>P</italic><0.05).Conclusion:FES can improve the cognitive function of bedridden elderly effectively, increase the ADL ability and quality of life, reduce the incidence of long-term bedridden complications.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".