Sleep breathing trend detection and assisted regulation methods, systems and devices

By collecting and processing sleep breathing signals, decomposing and analyzing the dynamic trend characteristics of sleep breathing, and generating auxiliary regulation strategies, the problem of insufficient personalization and dynamic regulation in existing sleep breathing regulation devices is solved, thereby improving sleep quality.

CN119112094BActive Publication Date: 2026-05-26安徽星辰智跃科技有限责任公司 +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
安徽星辰智跃科技有限责任公司
Filing Date
2024-03-14
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing technologies lack comprehensive scientific detection and quantitative evaluation of sleep respiratory dynamics, making it impossible to achieve personalized and precise dynamic assistance and adjustment. As a result, sleep breathing regulation devices cannot effectively adjust according to the user's real-time status.

Method used

By collecting sleep breathing behavior and body position information, signal processing and amplitude adjustment are performed, time-series signals are decomposed, sleep breathing dynamics trend characteristics are extracted, and auxiliary regulation strategies are generated by combining with a knowledge base and sent to the sleep breathing regulation device.

Benefits of technology

It enables scientific quantitative evaluation and personalized, precise, and dynamic adjustment of sleep breathing trends, thereby improving sleep quality and the effectiveness of control devices.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention provides a method, system, and device for detecting and assisting in the regulation of sleep breathing trends. It identifies and extracts sleep breathing dynamics trend signals, and achieves a scientific quantitative evaluation of sleep breathing trend behavior through sleep breathing dynamics trend characteristics, sleep breathing trend intensity, and sleep breathing trend intensity curves. By predicting and analyzing the user's sleep state and sleep breathing trend behavior, it generates sleep breathing trend-assisted regulation strategies and sends them to the sleep breathing regulation device, dynamically optimizing and improving the efficiency and effectiveness of the device. Finally, through the quantification of sleep breathing trend detection and dynamic strategy generation, it achieves personalized, precise, and dynamic assistance in regulating the user's sleep breathing trend, thereby improving the user's sleep quality.
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