睡眠分期检测方法、装置及系统
By acquiring signals of the subject's body movement, breathing movement, and ear movement, and combining them with non-invasive sensors to distinguish between REM sleep and non-REM sleep, the problem of high invasiveness and insufficient accuracy in existing technologies is solved, achieving non-invasive and accurate sleep staging detection.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GUANGZHOU NAT LAB
- Filing Date
- 2023-04-12
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies for sleep staging detection suffer from problems such as high invasiveness, insufficient accuracy, and high detection costs, especially those that use scalp and skeletal muscle electrodes to record concussion-induced damage and discomfort.
By acquiring signals of the subject's body movement, breathing movement, and ear movement, and combining them with center of gravity displacement, respiratory rate, and respiratory amplitude, non-invasive sensors such as video monitoring systems and gyroscope sensors are used to distinguish between rapid eye movement (REM) sleep and non-REM sleep, avoiding the damage and discomfort caused by electrode implantation.
It enables non-invasive and accurate differentiation of sleep states, reduces detection costs, and improves the universality and accuracy of detection, making it suitable for sleep studies in various animals.
Smart Images
Figure CN116350187B_ABST