Wearable sensors for smart abnormal heart rate detection during skiing
Why this work is in the frame
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Bibliographic record
Abstract
Abnormal heart rate detection has widely used in the evaluation, diagnosis and prediction of heart‐related diseases and autonomic nerve‐related diseases. In this paper, we use the ballistocardiogram (BCG) signal to analyze abnormal heart rate. First, we collect the BCG signals from wearable device during skiing. Second, we use the empirical model decomposition (EMD) and Hilbert transform to remove the noises in collected BCG signals. Third, the denoised BCG signals are used to analyze the heart rate variability (HRV) which is widely used in medical diagnosis. The experimental results show that the HRV analysis based on BCG signal and ECG signal has no significant difference. Lastly, the HRV features are input into a local outlier factor (LOF) to identify abnormal heart rate during skiing.
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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 | 0.000 |
| 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 it