SYSTEM AND DEVICE FOR DETECTING SLEEP APNEA ON THE BASIS OF HEART RATE DATA ON CONSUMER-LEVEL DEVICE

The present application relates to a system and device for detecting sleep apnea on the basis of heart rate data on a consumer-level device. The system comprises: a heart rate acquisition module, used for acquiring time-sequence heart rate data of a subject undergoing testing, said data being collected by a consumption-level device; a density plot analysis module, used for extracting the time-sequence heart rate data and analyzing same to obtain a heart rate feature set; and a pre-constructed machine learning model module, used for processing the extracted heart rate feature set and outputting an apnea evaluation representing whether apnea occurs in said time sequence. The present application uses the heart rate data collected by a consumer-level sensor and uses a density plot algorithm and a machine learning algorithm in combination with a unique database, so as to identify and classify heart rate differences between normal sleep and sleep apnea. Said application provides personalized data analysis during long-term sleep and ensures high accuracy of data analysis.