A bed-based human sleep and breathing monitoring system and method

Abstract

The invention discloses a human sleep and breathing monitoring system and method based on a bed body. Pressure sensors are arranged at the lower ends of four bed legs of the bed body of the system andare connected to an A / D conversion module, a microprocessor and a wireless module through wires in turn. A WiFi module of the wireless module and a Bluetooth module of the wireless module acquire anoriginal signal from the microprocessor through serial ports, the WiFi module transmits the original signal to a network database, and the Bluetooth module transmits the original signal to a mobile phone through a Bluetooth protocol. The monitoring method mainly comprises the steps: the microprocessor is reset in an empty bed state; a pressure sensor signal is pre-judged by the microprocessor through the A / D conversion module, and then sent to a network database or mobile phone to perform feature extraction of the original signal, so a sleep signal and a breathing signal are obtained, and thenthe detection of an apnea phenomenon and statistical analysis of the breathing frequency are completed. The system and method have the characteristics of low cost and simple structure, and are suitable for home nursing, hospital monitoring and other application occasions.

Description

technical field [0001] The present invention relates to a human body sleep and respiration monitoring system, in particular to a bed-based system and method capable of analyzing sleep-specific behaviors and performing statistical analysis of respiration signals. Background technique [0002] At present, there are many detection methods to detect sleep quality. The most commonly used method in medicine is polysomnography (PSG). Polysomnography (PSG) has always been regarded as the "gold standard" of sleep monitoring. PSG is mainly In medicine, precise equipment is used to make scientific evaluations of human sleep status in combination with physiological characteristics such as blood pressure, heartbeat, and brain waves. However, PSG requires patients to wear a lot of equipment, and also needs to sleep in the hospital all night, and the cost is also high, which not only affects the sensory experience, but also cannot be applied to home testing. [0003] In addition, there ar...

AI Technical Summary

Problems solved by technology

Compared with PSG, these methods are much lower in cost and easy to carry, and can be applied to home testing, but they still do not solve the problem of wearing devices that affect sensory experience

At the same time, there is still a problem with the wrist and leg movement meters, that is, the time when the user starts and ends sleep cannot be automatically determined, and the user needs to manually set the time.

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