Validation of combiomed hipermax-BF model A7101 automatic oscillometric upper-arm sphygmomanometer in general population: AAMI/ESH/ISO universal standard (ISO 81060-2:2018/Amd 1:2020)
Bibliographic record
Abstract
This study evaluates the accuracy of the Hipermax-BF model A7101 (Combiomed, Havana, Cuba) automatic oscillometric upper-arm sphygmomanometer for office and home use in general population as part of the HEARTS in the Americas initiative. The research was developed according to the Universal Standard AAMI/ESH/ISO ISO 81060-2:2018/Amd 1:2020. The subjects were recruited according to the requirements of age, gender, blood pressure values and upper-arm circumference. The same upper-arm sequential blood pressure measurement method was used. For measurements with the device under test, the 2-piece cuff from 22-44 cm limb circumference range was used. 92 subjects were recruited and 85 were analyzed. Mean age was 44.8 ± 14.7 years, mean upper-arm circumference was 32.3 ± 6.2, and 56.5% were female. For Validation Criterion 1, the mean value ± standard deviation of the differences in readings between the device under test and the reference device was 1.2 ± 4.9/0.8 ± 4.9 mmHg (systolic/diastolic). For both pressures, in criterion 1 the standard requires a mean value of the differences ≤ ± 5 mmHg and a standard deviation ≤ ± 8 mmHg. For Validation Criterion 2, the standard deviation of the mean blood pressure differences per subject was 4.2/4.2 mmHg (systolic/diastolic). According to Table 1 of criterion 2, for the mean values of 1.2/0.8 mmHg (systolic/diastolic), the maximum allowable standard deviation had to be < 6.84 for systolic and < 6.89 for diastolic pressure. The Combiomed Hipermax-BF A7101 automatic sphygmomanometer meets the requirements of the AAMI/ESH/ISO Universal Standard (ISO 81060-2:2018/Amd 1:2020) in the general population.
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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 | 0.014 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".