01-27-2023, 01:40 AM
My limited understanding of how Fitbit derive sleep state is through movement and variation in heart rate, they mention HRV changing as you transition through sleep stages.
This lets them calculate sleep stages with only an accelerometer and optical heart rate sensor and it appears their method of tracking sleep stages is between 75% and 80% as accurate as compared to a head mounted EEG.
So yeah, you don't need much to get a lot out. Would love to be able to integrate ML into the data processing, perhaps have a calibration period where you wear a sensor along with an EEG to improve accuracy through training.
This lets them calculate sleep stages with only an accelerometer and optical heart rate sensor and it appears their method of tracking sleep stages is between 75% and 80% as accurate as compared to a head mounted EEG.
So yeah, you don't need much to get a lot out. Would love to be able to integrate ML into the data processing, perhaps have a calibration period where you wear a sensor along with an EEG to improve accuracy through training.