Foot Drop Stimulation via Piezoelectric Energy Harvester
Bibliographic record
Abstract
The design and implementation of a piezoelectric energy-harvesting system, aimed at stimulating the Tibialis anterior muscle to aid patients struggling with a foot drop disability, are investigated. A physical prototype designed to be installed inside a shoe sole, consisting of an energy-harvesting unit along with a power-management circuit and a functional electrical-stimulation circuit, is fabricated. The piezoelectric energy harvester (PEH) incorporated six layers of Polyvinylidene-Fluoride sheets to achieve a mean-charge generation of 65.25 μC/step and a peak power of 10.76 mW/step. A peak voltage of +80.0 V generation was achieved during a stomping motion. The electrical systems store, convert, and deploy 60 mA electric pulses at the desired frequencies to the target muscle. The finalized prototype is best-suited to prolong the duration of the charged batteries whilst in use. In a practical sense, it should be used alongside external-power sources to recharge the batteries installed in a foot drop stimulation device. The PEH in its current state is fully capable of solely powering blood pressure sensors, glucose meters, or activity trackers.
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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) | 0.000 | 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) | 0.002 | 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".