Cuff Dynamics System Analysis and Modeling
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This thesis investigates the properties of the cuff dynamics system. The approach used has been to first build up a linear model for the cuff dynamics system. Analysis of the results shows that the linear model can only hold over a very small operating range, the conclusion is drawn that the cuff dynamics system exhibits strong non-linearity. An artificial neural network then is proposed to model the non-linear cuff dynamics system. Mathematical analysis of the results shows that the model structure provides a better representation of the system dynamics. Two experiments are designed to capture the non-linearity of the cuff dynamics system using a NNARX neural network model. The single operating point of cuff dynamics approximation and the multiple operating point cuff dynamics approximation. A second order with one zero model is chosen as the best representation. The result of the simulations shows that it is not appropriate to use the cuff as sensor in the blood pressure measurement without considering the behaviour of the cuff. The cuff dynamics shows strongly non-linear properties, which contribute a lot to the whole blood pressure measurement.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 it