Cognitive fatigue effect on rehabilitation task performance in a haptic virtual environment system
Bibliographic record
Abstract
INTRODUCTION: This paper presents a study on an affordable rehabilitation approach to post-stroke patients. In this approach, a patient performs a task on a haptic virtual environment system and a physician examines the patient's task remotely based on the performing data. OBJECTIVES: The objective of this study is to test a hypothesis that an elevated cognitive fatigue state may significantly affect the patient's task performance so as to disturb judgment by physicians. METHODS: The study included the development of a test-bed for the experiment and an experimental study for the hypothesis. The study took the wrist coordination function of the upper limb as an example. RESULT: The study showed that the cognitive fatigue state has a significant influence on the patient's task performance; in other words, there is a noise (75% discrepancy from the true performance information) in the performance data. CONCLUSION: The study provides great potential for accurate assessment of the functional state from true patient task performance. The future work needs to focus on the removal of the noise. The limitation of this study is that the experiment was carried out on healthy subjects, although post-stroke patients are more susceptible to an elevated cognitive fatigue state from a common sense.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 | 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".