Establishing the Validity and Reliability of the Astroskin® Biometric Shirt
Bibliographic record
Abstract
Topics in Exercise Science and Kinesiology Volume 5: Issue 1, Article 4, 2024. Biometric garments such as the Astroskin® biometric shirt (Carre Technologies, Montreal, PQ) may be useful for non-invasively monitoring human physiology in a number of applied settings. The Astroskin® biometric shirt measures and records continuous heart rate (HR), blood oxygenation (SPO2), systolic blood pressure (SBP) and respiratory rate (RR). The aim of this study was to establish the reliability and validity of the Astroskin® biometric shirt. This was achieved through comparing the Astroskin® with a commercially available hospital-grade cardiac monitor, the corpuls3® (Stemple GmbH, Kaufering, Germany) for the following variables: HR, SBP and SPO2. A convenience sample of 24 participants were recruited to participate in two separate data collection sessions. Five did not participate in the second data collection session. Participants were monitored using the Astroskin® while instrumented with the corpuls3® monitor. For both sessions, data were recorded at approximately 1.5-minute intervals over a 22-minute period while the participant was seated comfortably in a chair. Validity of the Astroskin® was assessed by examining mean average percentage error (MAPE) and Lin’s Concordance Correlation Coefficient against pre-established criteria, while Bland-Altman plots showed agreement between the two tools. Reliability between the two sessions was compared using intra-class correlations. The Astroskin® was shown to be extremely valid for HR and performed well for BP and the two systems showed comparable reliability over time. With SPO2 the MAPE and bias were good, but concordance was low, and the Astroskin® was not as reliable as the corpuls3®. Results indicated that the Astroskin® biometric shirt was a valid instrument compared to the corpuls3® monitor utilising participants in a sedentary setting. More research is recommended for the Astroskin® in a variety of applied settings to confirm its validity.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".