Human physiological parameter detection method and device, storage medium

Abstract

The invention discloses a human body physiological parameter detection method and device, and a storage medium. The method includes: after using the ultra-wideband UWB communication module to transmit the ultra-wideband UWB communication signal, performing an echo signal received by the UWB communication module. analysis, extracting the human body echo signal from the echo signal; based on the corresponding relationship between the characteristic parameters of the human body echo signal and the physiological parameters of the human body, according to the extracted human body echo signal to determine the The physiological parameters of the human body corresponding to the wave signal. The invention can simply realize the acquisition of human sleep parameters without contacting the human body.

Description

technical field [0001] The invention belongs to the technical field of computer applications, and in particular relates to a human body physiological parameter detection method, a storage medium, and a human body physiological parameter detection device. Background technique [0002] With the improvement of people's living standards, people pay more and more attention to their own health problems. At the same time, people spend most of their time in the bedroom, and a good sleep quality can not only make people full of energy and feel happy, but also greatly improve their health. People's work enthusiasm, therefore, people's requirements for sleep quality are getting higher and higher. With the rapid development of smart homes and the Internet of Things, the bedroom, which is an important part of home life, has also undergone significant changes. The emergence of smart pillows and smart mattresses provides the possibility of sleep quality testing. [0003] At present, detec...

AI Technical Summary

Problems solved by technology

Among them, the contact detection method mainly uses small MEMS (Micro-Electro-MechanicalSystem, micro-electromechanical system) acceleration sensors and piezoelectric film sensors. At present, the former is mainly used in smart bracelets, while the latter is used in smart pillows, smart Mattress; the non-contact detection method uses the channel state information changes of the WIFI signal to detect sleep parameters. Compared with the contact detection method, the non-contact detection method includes complex implementation principles, poor performance under multi-path conditions, and data calculation. Large quantity and other shortcomings, most of them are in the research stage at present

[0004] Therefore, when the current contact sensor detects the physiological parameters of the human body, especially when the user is in a sleeping state, it is easy to make people feel a foreign body sensation and affect the user's rest, while the non-contact detection implementation principle is complex and expensive

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