Reliability of Zephyr BioHarness Respiratory Rate at Rest, During the Modified Canadian Aerobic Fitness Test and Recovery
Bibliographic record
Abstract
Nazari, G and MacDermid, JC. Reliability of Zephyr BioHarness respiratory rate at rest, during the modified Canadian Aerobic Fitness Test and recovery. J Strength Cond Res 34(1): 264-269, 2020-Technological innovations have led to the development of wearable physiological monitoring devices, such as the Zephyr BioHarness (ZB). It is necessary to establish the measurement properties of a device and to determine its reliability parameters, before its utilization. The purpose of current study was to determine the test-retest reliability of ZB respiratory rate variable at rest, during the modified Canadian Aerobic Fitness Test (mCAFT) (a submaximal test) and throughout recovery. Stratified convenience and snowballing were used to recruit 60 participants (30 females). Respiratory rate reliability was assessed at rest, with total of 20 measurements, during the mCAFT with total of 24 measures and throughout the recovery with total of 20 measures between the first and second sessions. At rest, test-retest respiratory rate intraclass correlation coefficients (ICCs) and SEM for ZB ranged from 0.76 to 0.84 (0.62-0.83). During the mCAFT, the ZB ICCs and (SEM) ranged from 0.76 to 0.89 (1.53-4.00). Throughout the recovery, the ICCs and SEM ranged from 0.79 to 0.90 (0.90-1.28). To conclude, ZB respiratory rate variable demonstrated excellent reliability measures in a large sample of healthy male and female individuals across different age groups at rest, during a submaximal activity and throughout recovery. Our study findings add to the existing pool of literature regarding the reliability parameters of ZB wearable device and propose that stable and consistent measures of respiratory rate can be obtained using ZB device among healthy male and female participants at rest, during submaximal activity (mCAFT) and throughout recovery.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".