Non-contact human health monitoring device and method

Abstract

The invention relates to a non-contact human health monitoring device and method. The device comprises a master server and a plurality of monitoring subsystems connected with the master server, wherein the master server acquires a design drawing, the drawing comprises distribution of indoor functional areas of a house, monitoring areas are divided according to the distribution of the functional areas, the monitoring areas are in one-to-one correspondence with the monitoring subsystems, each monitoring subsystem comprises a millimeter wave radar, an infrared camera, a pickup and a visible light camera, and the master server is connected with an echo signal processor, an image processor and a voice signal processor. The method comprises the steps of acquiring human vital sign data of an old person located in a sensor range, then acquiring body temperature, heartbeat and breathing data of various moving postures and quiet postures, judging abnormal conditions and health levels of the body temperature, heartbeat and breathing data, and performing health early warning. The non-contact human health monitoring device and method realize automatic real-time monitoring for the old person, feed back the health state of the old person, and reduce the care difficulty of relatives of the old person.

Description

technical field [0001] The invention relates to the technical field of health monitoring, and more specifically, to a non-contact human health monitoring device and method. Background technique [0002] During exercise, a person will produce rhythmic breathing movement, and the expansion and contraction of the chest cavity will be caused by the contraction and contraction of the respiratory muscles. Breathing movement is regulated by the brain and controlled consciously, but breathing movement is also a kind of voluntary movement to a certain extent. The respiratory signal is an important reference data for determining the health status of vital signs. It can not only be used to monitor diseases and determine the health status, but also can predict and alarm some clinical emergencies, such as breathing in patients, infants and the elderly. Alarm for sudden stop. The two commonly used methods to monitor human respiration clinically are chest impedance method and carbon diox...

AI Technical Summary

Problems solved by technology

[0006] The above conventional detection still does not have an accurate grasp of the randomness of human body changes

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