| abstract |
The present application relates to the technical field of sleep quality assessment, and provides a sleep quality assessment method, device and wearable device. The method includes: acquiring wrist motion data, pulse oxygen saturation data, melatonin data, and sympathetic nerve excitability data at the current time, wherein the wrist motion data includes at least two kinds of motion sub-data; The cross ratio data is generated from the exercise sub-data and the pulse oximetry data; the wrist motion data, pulse oximetry data, melatonin data, sympathetic nerve excitability data and the cross ratio data are input into the pre-trained A sleep quality evaluation model, generating and saving sleep state information at the current time; acquiring multiple sleep state information corresponding to each time in the target sleep cycle, and generating a sleep quality evaluation result of the target sleep cycle based on the multiple sleep state information . The embodiments of the present application can greatly increase the accuracy of sleep quality assessment. |