Quantifying The Signal-To-Noise Ratio of Silicon- Embedded Sensors for Mechanomyography
Why this work is in the frame
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Bibliographic record
Abstract
Experiments consisted of systematic measurements of the signal-to-noise ratio (SNR) of signals acquired from a mechanical stimulator, using silicon-embedded accelerometers. The objective of using the latter was to determine the combination of embedding properties which provide the highest SNR for mechanomyography (MMG) signal recording. Variations in silicon hardness and geometry were tested. Two important conclusions can be derived from the experiments: (1) It is possible to acquire MMG signals using silicon-embedded sensors; and (2) The embedded sensor's performance is affected by changes in the geometry of the embedding. The intended application of this study is the use of soft silicon suction sockets with embedded sensors as a more comfortable and functional alternative to current hard-socket powered prostheses for below-elbow amputees currently using electromyography as the control signal(s).
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 it