Improvement of oscillometric blood pressure estimates through suppression of breathing effects
Bibliographic record
Abstract
This paper addresses the suppression of the effects of the breathing signal from short duration oscillometric waveform (OMW) recordings to obtain improved blood pressure estimates. As the amplitude modulating effects due to the breathing signal are multiplicative in nature, homomorphic filtering is done on the OMW. An adaptive filtering methodology is adopted to suppress the breathing signal from the OMW. For suppressing the breathing signal, an adaptive noise canceller (ANC) scheme is used when simultaneously acquired reference electrocardiogram (ECG) signal is available while an adaptive line enhancer (ALE) scheme is used when such a reference signal is not readily available. Existing algorithms are used for estimating the blood pressure values. After the suppression of the breathing effects, an improvement in the pressure estimates is observed. Unlike the current methodologies for suppressing the breathing effects from blood pressure measurements, the ALE scheme used in this paper does not require an additional reference signal.
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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) | 0.000 | 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 | 0.000 | 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".