Wireless electrocardiograph monitoring method, system and monitoring garment orienting to sleep analysis

Abstract

The invention provides a wireless electrocardiograph monitoring method, a wireless electrocardiograph monitoring system and a wireless electrocardiograph monitoring garment orienting to sleep analysis. The wireless electrocardiograph monitoring method comprises the steps that the electrocardiograph signals and acceleration of a tested person are acquired, the real-time heart rate data of the tested person is calculated, the heart rate standard deviation is calculated according to the heart rate data within a period of time, the sleep stages of the tested person are divided according to the heart rate standard deviation, and the sleep quality of the tested person is comprehensively calculated according to the total time of the sleep sub-stages and the body movement parameters. With the adoption of the method, the acquisition of the life essential information is realized under the natural state, a fabric electrode acquires the electrocardiograph signals, an acceleration sensor positioned on the abdomen transmits the dynamic information of the body, the electrocardiograph signals are analyzed through the fabric electrode and the acceleration sensor together through wireless transmission, the sleep relevant information is separated from the analysis result, and thus the sleep quality is objectively evaluated.

Description

technical field [0001] The invention belongs to the field of sleep monitoring, in particular to various sleep analysis-oriented wireless ECG monitoring methods, systems and monitoring clothes. Background technique [0002] Sleep is an important factor to maintain normal physiological and developmental functions of the body. Maintaining good sleep quality is an effective means to ensure human health and prevent and treat various diseases; products, such as the APP on the mobile phone, the classic Xiaomi bracelet, etc.; the above products only use body movement to judge sleep quality, but in fact, there is no scientific basis for judging only by body movement. It is believed that more body movements are light sleep, and less body movement is deep sleep, but in fact, no matter whether it is deep sleep or light sleep, the human body cannot be completely static"; only when sleep enters the stage of rapid eye movement, that is, When dreams appear, the limbs will remain still, but...

AI Technical Summary

Problems solved by technology

[0002] Sleep is an important factor to maintain normal physiological and developmental functions of the body. Maintaining good sleep quality is an effective means to ensure human health and prevent and treat various diseases; products, such as the APP on the mobile phone, the classic Xiaomi bracelet, etc.; the above products only use body movement to judge sleep quality, but in fact, there is no scientific basis for judging only by body movement. It is believed that more body movements are light sleep, and less body movement is deep sleep, but in fact, no matter whether it is deep sleep or light sleep, the human body cannot be completely static"; only when sleep enters the stage of rapid eye movement, that is, When dreams occur, the limbs will remain still, but this stage is neither deep sleep nor light sleep

Clinically, polysomnography is used to synchronously trace the physiological parameters such as EEG, electrooculogram, electromyography, heart rate, respiration and blood oxygen in the human body during sleep to distinguish sleep structure and diagnose sleep diseases. Complicated and expensive, it affects the subject's natural sleep to a large extent; in order to better monitor the subject's sleep quality more conveniently and accurately, the prior art also discloses some monitoring systems and methods, such as disclosed in CN103976717 A multi-dimensional sleep quality monitoring method and system. The method and system obtain the sleep quality by detecting the sleep action data and heart rate data of the monitor during sleep, but the system measures the heart rate data, and then according to the heart rate The average value of the slope and the adjacent heart rate is used to stage sleep. The disadvantage of this system is that it cannot accurately divide sleep quality and sleep stages in real time.

Images