Wearable Scanner Platform Based on Fiber Sensor Array for Real Time Breath Detection
Bibliographic record
Abstract
In the near future wearable sensors when integrated into garments will have a significant impact on the future of digital health care. A new wireless T-shirt based on non-invasive network sensors was developed and tested recently as a scanner for real time breath detection of mainly male gender volunteers. The sensor is made of flexible glass fiber antenna emitting at 2.45 GHz and connected to a Bluetooth transmitter. The scanner is a network of six sensors integrated into a stretchable textile and placed in a well defined position on the thorax and on the abdomen. The breathing signal is extracted from the received signal strength indicator (RSSI) signal emitted from the sensors array and detected by a base station. In this work, we tested the feasibility assessment for breath monitoring of five female gender volunteers of different age and physical morphology in standing positions using the designed male-shape T-shirt. As a result, the wearable scanner detected successfully the breathing rates of the female volunteers with a frequency varying from 0.27 Hz to 0.40 Hz.
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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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".