New reconfigurable ultrasonic enuresis monitoring system
Bibliographic record
Abstract
Nocturnal enuresis (bed-wetting) is a common disorder for children between the ages of 5 and 15. Though the problem usually clears up on its own, nocturnal enuresis sometime leads to serious psychological and social consequences if not dealt with properly. Behavior modification approaches, such as the enuresis alarm system, have been clinically proven to be the only nocturnal enuresis treatment strategy with persistent effectiveness. Available enuresis alarm systems, which condition the child to anticipate micturition, do not prevent bed-wetting during therapy. This paper describes the design of a new reconfigurable miniaturized ultrasonic monitor which wakens the patient a short time before his bladder reaches a critical volume (start of micturition). The detection approach is based on the evaluation of the biggest bladder's depth using an A mode pulse/echo technique. This enuresis alarm system is reconfigurable to adjust the threshold depth according to the child's bladder morphology. A 4/spl times/16 character LCD screen has been implemented to validate measurements performed during the upcoming clinical evaluation of the device.
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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) | 0.000 | 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".