Measuring heart rate, breathing rate and skin conductance during exercise
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
Sensor miniaturization and advances in low power communication protocols have helped enable continuous monitoring of physiological signals. Commercial products exist today which are wearable, in a form of a chest belt or a wrist strap, and can continuously stream or log bio-signals such as heart rate, as well as motion signals. Such devices could be of importance not only to a health-conscious consumer, but also in the healthcare system, for monitoring of patients whose prescribed treatment includes some form of physical activity. This paper proposes a new framework for monitoring compliance and impact of an exercise regimen. While previous related work typically uses an accelerometer based approach, our method gives a more complete picture of impact of exercise on the subject by adding bio-signals such as heart rate, breathing rate and skin conductivity and correlating them with motion signals. Such framework can be used to assess progress over time for different types of exercise regimens.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 it