Method for detecting sleep apnea based on mobile device

The invention discloses a method for detecting sleep apnea based on a mobile device. The sleep apnea detection during sleep is performed based on deep learning and audio snore detection technologies. The detection method comprises a series of steps of audio acquisition, feature processing, snore judgment, volume decibel detection, apnea detection and the like, the sleep apnea event detection of a detected user is achieved, and whether the user has sleep apnea symptoms or not is judged. The whole set of algorithm and process described by the invention can be applied to but not limited to mobile devices such as mobile phones and part of embedded devices, the limitation that a traditional sleep apnea detection method needs a contact device is eliminated, meanwhile, the detection accuracy is guaranteed, and the user with the sleep apnea symptoms can be found and treated as soon as possible. 本发明公开了一种基于移动设备检测睡眠呼吸暂停的方法，以深度学习、音频鼾声检测技术作为基础，进行睡眠时的睡眠呼吸暂停检测。检测方法包括音频采集、特征处理、鼾声判断、音量分贝检测、呼吸暂停检测等等一系列步骤，实现对受检用户的睡眠呼吸暂停事件检测，判断用