Body-Motion Driven MEMS Generator for Implantable Biomedical Devices
Bibliographic record
Abstract
A MEMS-based axial flux power generator has been developed for use in implantable biomedical devices, such as cardiac pacemakers, hearing aid instruments, etc. The microgenerator can provide a greater energy supply per unit volume at a much smaller size and weight compared to conventional batteries. The device operates on the principle of electromagnetic induction of a voltage across a microfabricated planar copper coil exposed to a changing magnetic flux due to a bio-mechanically driven microfabricated magnetic (NdFeB) planar semi-circular pendulum. A thin air gap separates the magnetic pendulum from the underlying planar coil. The generated voltage peaks can be rectified, filtered, stepped up, and stored in super capacitors to provide a stable voltage supply. With a footprint area of 1.0 mm2and thickness of 500 mum, the device can generate 390 muWRMSpower at an open-circuit voltage of 1.1 VRMS. A number of microgenerators could be stacked or a scaled up version can be used if greater amount of power is necessary.
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 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) | 0.004 | 0.001 |
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".