I've noticed fluctuations in data like heart rate, blood oxygen, and sleep stages when using a smartwatch for daily health management. I'd like to understand how these sensors work and what the main sources of data errors are during different exercise intensities or sleep environments. Has anyone researched the related algorithms or experimental results? If I want to improve data reliability, how should I choose sensor parameters or perform calibration? Feel free to share your experiences and reference materials.
In smartwatch health monitoring features, which metrics' accuracy is questionable, especially in daily exercise and sleep analysis?
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Thanks for sharing! Generally, heart rate is easily affected by motion noise during intense exercise, blood oxygen readings tend to have larger errors when the skin is dark or the wrist moves, and sleep stage tracking can be misjudged due to minor tossing and turning. The main sources of error are motion artifacts, sensor fit, and optical interference. Do you usually do a baseline calibration in a quiet state, or do you focus more on the accuracy of a specific metric?