Evaluation of Astroskin Bio-monitor during high intensity physical activities
Bibliographic record
Abstract
As humans go deeper into space, the need for a compact and accurate health monitoring system is imperative for the Exploration Medical Capability (ExMC) Element of Human Research Program (HRP). Thus, it is necessary to develop new technologies and advances in support of long duration space missions. In the study conducted, the goal was to validate the second prototype of the Astroskin bio-monitor system performance, developed by Carré Technologies in collaboration with the Canadian Space Agency (CSA), during high intensity physical activities. The Astroskin system is designed as a garment with built-in sensors, a headband with an optical sensor and a module that connects to the garment; allowing monitoring, recording and analyzing physiological parameters such as the electrocardiogram (ECG), heart rate, blood pressure, pulse oximetry, respiratory rate, and body temperature in a non-obtrusive way. The results provided feedback for improvements both in hardware and software. A previous prototype was tested in an analog space environment HERA in 2016, monitoring a crew’s physiological parameters for 24-hour sessions
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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 | 0.001 |
| 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) | 0.002 | 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".