Palatal implant system can provide effective treatment for obstructive sleep apnea by recovering retropalatal patency
Bibliographic record
Abstract
Abstract Objective. Obstructive sleep apnea (OSA) is a disorder with a high prevalence rate that may induce serious complications. Recent progress in the area of hypoglossal nerve stimulation has played a role as an alternative to conventional therapies though, some patients having retropalatal collapse still have not benefitted. Therefore, here we propose a new type of upper-airway stimulation, referred to as the palatal implant system, which recovers the upper-airway patency by electrically stimulating the soft palate. Approach. The system consists of two major parts: an implant that stimulates the soft palate through electrodes and an intra-oral device that delivers power and data simultaneously to the implant via an inductive link. Evaluations of the system are conducted in bench-top, in vitro , and in vivo tests to evaluate its feasibility as an OSA treatment, and the potential development of the system is addressed in the discussion section. Main results. In the bench-top test, the power efficiency was 12.4% at d = 5 mm and the system could operate up to 8 mm distance in a bio-medium. Data transmission was also successful at distances ranging 2 to 8 mm within an error margin of 10%. The measured CSC c and the impedance magnitude of the electrode were 62.25 mC cm −2 and 390 Ω, respectively, proving a feasibility of the electrode as a stimluator interface. The system was applied to a rabbit and contraction of the soft palate muscle was recorded via a C-arm fluoroscopy. Significance. As a proof of concept, we suggest and demonstrate the palatal implant system as a new therapy for those undergoing treatment for OSA.
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How this classification was reachedexpand
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) | 0.001 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".