A maximum oxygen consumption estimation method and device based on an electrocardiosignal and a storage medium
By using R-peak detection and signal quality assessment based on electrocardiogram signals, combined with a weighted regression model, the problems of artifacts and individual differences in the estimation of wearable maximum oxygen consumption were solved, and reliable estimation and confidence output were achieved under free movement conditions.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SUZHOU ZHIXIN MEDICAL TECH CO LTD
- Filing Date
- 2026-04-16
- Publication Date
- 2026-07-17
AI Technical Summary
Existing methods for estimating wearable maximum oxygen consumption are easily affected by motion artifacts, poor contact, heart rate drift, lack of respiratory information, and individual differences under free movement conditions, leading to increased errors and making it difficult to achieve highly robust and interpretable estimations.
A method based on electrocardiogram signals was adopted, which included R-peak detection, RR interval calculation, heart rate variability and respiratory feature extraction, combined with signal quality assessment, to screen reliability windows. A weighted regression model was then used to fit the relationship between heart rate and load intensity, and the maximum oxygen consumption and confidence level were output.
It significantly reduces motion artifacts and poor contact effects, improves robustness to heart rate drift and individual variability, achieves reliable VO2 max estimation and confidence output, is suitable for low-power wearable platforms, and supports long-term trend assessment and training guidance.
Smart Images
Figure CN122398322A_ABST