| abstract |
The present disclosure relates to the technical field of myopia risk assessment, and provides a myopia risk assessment method, device and wearable device. The method includes: acquiring ambient light intensity data, body hormone data and sympathetic nerve excitability data at the current time; inputting the ambient light intensity data, body hormone data and sympathetic nerve excitability data into a pre-trained myopia risk assessment model to obtain myopia risk The evaluation result, wherein the myopia risk evaluation model is obtained by training based on the ambient light intensity data, the body hormone data and the sympathetic nerve excitability data corresponding to the known myopia risk. The embodiments of the present disclosure can realize the external environment characterization of hormone secretion time by collecting and processing ambient light intensity data, bodily hormone data (such as melatonin and/or dopamine) and sympathetic nerve excitability data, and then to the bodily hormone data. Comprehensive monitoring (eg, melatonin and/or dopamine) greatly increases the accuracy of predicting myopia risk. |