Correlation between seismocardiogram and systolic blood pressure
Bibliographic record
Abstract
Modern health care system requires certain critically ill patients to monitor their blood pressure continuously through non-invasive techniques. The pulse transit time (PTT) and other parameter such as RS2 have been used previously for continuous BP monitoring. In this study, a system is designed using trial axis accelerometer as a sensor to collect seismocardiogram (SCG) data. The SCG waveforms have been used to find a relationship between Systolic Blood Pressure (SBP) and different axis of Seismocardiogram on 10 subjects aged 24+ years. The results reflect that the SBP is correlated with the starting point of the SCG wave in the x-axis to the mid-point of the z-axis. Their mean correlation and equations have been found which can state the systolic blood pressure of the subjects. The relative errors between the calculated SBP and the SBP measured from clinical equipment are up to 123 mmHg in normal range and 456 mmHg in high range. In summary, SCG can be used to determine the SBP as it has a moderate correlation.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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 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".