A fall detection, physiological sign and sleep monitoring early warning system and method

By integrating fall detection, physiological signs, and sleep monitoring through millimeter-wave radar and deep learning networks, this technology solves the problems of discomfort and poor environmental adaptability in existing technologies, achieving efficient and accurate non-contact monitoring and early warning, and improving the safety of smart healthcare and health management.

CN121570170BActive Publication Date: 2026-05-26WUHAN HUAZHONG DIGITAL INNOVATION TECHNOLOGY CO LTD
View PDF 4 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
WUHAN HUAZHONG DIGITAL INNOVATION TECHNOLOGY CO LTD
Filing Date
2026-01-28
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing technologies for fall detection and physiological sign monitoring suffer from problems such as discomfort when wearing them, poor environmental adaptability, and insufficient privacy protection. There is a lack of research on integrated systems for fall detection, physiological signs, and sleep monitoring using millimeter-wave radar, which makes it difficult to achieve efficient and accurate non-contact monitoring and early warning, especially in smart healthcare and health management.

Method used

By combining millimeter-wave radar with a deep learning network, and through phase change and point cloud data processing, physiological signs and human posture are monitored. Multi-level signal processing algorithms and real-time edge processing are used, combined with a dual verification mechanism of "posture + signs", to provide real-time early warning.

Benefits of technology

It enables all-weather, unobtrusive health monitoring, improves posture estimation accuracy and fall detection accuracy, reduces false alarm rate, ensures real-time monitoring and privacy protection, and provides reliable sleep quality assessment.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN121570170B_ABST
    Figure CN121570170B_ABST
Patent Text Reader

Abstract

This application discloses a fall detection, physiological sign, and sleep monitoring and early warning system and method, relating to the field of health monitoring. The system includes: a millimeter-wave radar, a functional module, and a real-time data monitoring and early warning module. The signal output terminal of the millimeter-wave radar is connected to the signal input terminal of the functional module. The signal output terminal of the functional module is connected to the signal input terminal of the real-time data monitoring and early warning module. The functional module obtains physiological sign data through the phase-change raw signal, and obtains sleep status based on the physiological sign data. Point cloud data is generated based on the raw signal, thereby obtaining human posture data. The real-time data monitoring and early warning module processes, stores, and visualizes the physiological sign data and human posture data, performing real-time detection of abnormal physiological sign data, sleep patterns, and human posture, and providing fall warnings. This application can improve the safety of medical monitoring, thereby providing more efficient and reliable technical support for smart healthcare and health management.
Need to check novelty before this filing date? Find Prior Art