Hardware - software co-design of portable functional gastrointestinal stimulator system
Bibliographic record
Abstract
In the recent years, functional electrical stimulation has been applied to restore impaired motility in the gastrointestinal tract. Unlike other methods of electrical stimulation of the gut, microprocessor-controlled, sequential electrical stimulation has been shown to induce peristalsis and enhance emptying in acute canine gastric and colonic models. This study aims at completing the development of a portable microprocessor-based functional stimulator system consisting of a microelectronic stimulator, patient-specific computer-based real-time software and a programming interfacing device. The ultimate goals of the design are to ensure that (1) the portable stimulator can be efficiently utilized in chronic animal experiments; and (2) the device can be further miniaturized into an implantable version. The designed portable stimulator generates four channel sequential bipolar rectangular pulse trains with programmable parameters within the stimulation requirements obtained from a previously developed computer model. Real-time simulation of colonic peristalsis and a case-specific stimulation model were implemented using patient-specific computer-based software. A chronic canine case study confirmed the feasibility of this microprocessor-controlled stimulation method for future clinical applications in humans.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".