A 3D Printed Wearable Electromyography Wristband
Bibliographic record
Abstract
Patients who have experienced hand amputations are often faced with high costs when seeking prosthetic hands that provide human-like functionality. To address this issue, an affordable surface electromyography (EMG) wristband has been developed to balance the quality and cost of prosthetic devices. The goal is to enhance the control of low-cost prostheses and make them more effective for patients. The EMG wristband device consists of several flexible serpentine electrodes, one EMG sensor, and a double-sided printed circuit board (PCB) for muscle movement detection. It was shown that the EMG signals collected accurately reflected finger movements through signal processing. Additionally, the correlation between signal intensity and hand-gripping forces at various levels was also demonstrated. The creation of this EMG wristband has the potential to drive advancements in signal-controlled prosthetic fields. By providing an affordable solution to patients, this technology may enhance their quality of life and increase their accessibility to prosthetic devices.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".