Sleep staging method and system

By screening and preprocessing physiological characteristic signals, combined with multi-dimensional feature extraction and staging models, the problem of insufficient convenience and accuracy of sleep staging in existing technologies has been solved, and efficient sleep monitoring in smart home scenarios has been achieved.

CN121365288BActive Publication Date: 2026-06-05AIMENG SMART HOME (ZHUHAI) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
AIMENG SMART HOME (ZHUHAI) CO LTD
Filing Date
2025-12-22
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Existing sleep staging technologies suffer from problems such as complex operation, high cost, and insufficient accuracy in signal acquisition and automatic staging methods. In particular, they are difficult to balance convenience and accuracy in home monitoring scenarios, and lack precise judgment of signal validity and personalized information fusion.

Method used

By acquiring raw physiological characteristic signals, we perform out-of-bed status detection and signal validity detection to screen high-quality data; we preprocess the physiological characteristic signals to separate key parameter signals such as respiration, heart rate, and body movement, and perform multi-dimensional feature extraction; and we combine target object information and sleep state information to perform accurate classification using a preset sleep staging model.

Benefits of technology

It improves the anti-interference ability and accuracy of sleep staging, adapts to the home monitoring needs in smart home scenarios, and achieves a balance between convenience and accuracy.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a sleep staging method and system, and the method comprises the following steps: acquiring a physiological characteristic original signal of a target object; performing signal state detection on the physiological characteristic original signal; if the target object is out of bed or the signal is invalid, performing data cleaning on the sleep staging data of the day to obtain a final sleep staging result; if the target object is in bed and the signal is valid, performing a preprocessing operation on the physiological characteristic original signal to separate at least two physiological parameter signals related to sleep states; performing multi-dimensional feature extraction on the physiological parameter signals to construct a target physiological characteristic array; and obtaining a sleep staging result corresponding to a current time based on the target physiological characteristic array, a target object information array and a sleep state information array through a preset sleep staging model. The application can rely on non-invasive devices such as intelligent mattresses and intelligent pillows in the intelligent home scene to realize non-invasive home monitoring, and effectively improve the signal anti-interference capability and sleep staging accuracy.
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