Single Antenna Bio-Sensing for Noninvasive Respiratory and Cardiac Activity Monitoring
Why this work is in the frame
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Bibliographic record
Abstract
The single antenna bio-sensing (SABioS) method is investigated for noninvasive respiratory and cardiac activity monitoring. Using an antenna sensor installed over the chest of a subject, the vital signs can be captured by analyzing changes in the antenna’s reflection coefficient due to two contributors, being the variations in the dielectric composition of the body and the structural deformations of the antenna due to thoracic expansion during the respiratory cycle. The operation principle of this method is elaborated and validated through simulations, and its agreement with a medical-grade reference device is studied via a preliminary experimental setup involving 14 volunteers. The results were analyzed using Bland-Altman analysis, linear regression, and various error metrics, and the maximum calculated mean absolute errors (MAEs) were 0.06 breaths per minute (bpm) for breathing rate (BR) and 0.14 s for inspiration/expiration time, demonstrating a strong agreement with the medical reference device. The article also briefly explores the potential of SABioS in cardiac monitoring and detecting breathing pauses, as well as its versatility in operating with different antenna types. The SABioS method provides a noninvasive, comfortable, and accurate solution for continuous vital sign monitoring without any dependency to external devices.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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