A MEMS Outer Hair Cell (OHC) Implant to Improve Sensorineural Response of a Damaged Cochlea
Bibliographic record
Abstract
This paper presents the design of a MEMS based Outer Hair Cell (OHC) for use as a prosthetic implant on the top of the basilar membrane in the Cochlea to improve the hearing conditions for persons with damaged OHC. The MEMS hair cell (OHC) is designed to have a set of 6 variable length microfabricated cantilever beams that can be excited to deform like normal healthy OHC using electrostatic actuation. A 3D Finite Element Analysis (FEA) of the developed OHC has been carried out using IntelliSuite. The FEA results are in 17% agreement with an analytical model published elsewhere. The design eliminates the use of electrode as used in conventional cochlear implants (CIs) and has the potential to improve the hearing condition for patients suffering from sensory neural hearing loss due to cochlear outer hair cell damage.
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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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".