Electrocardiogram monitoring system with motion recognition and positioning functions, and monitoring method

Abstract

The invention relates to an electrocardiogram monitoring system with motion recognition and positioning functions, and a monitoring method. A dynamic electrocardiogram monitoring waistband is worn atan abdomen of a human body and used for acquiring, storing and transmitting electrocardiogram and motion and position information of the human body. Electrocardiogram monitoring platforms include a cellphone App electrocardiogram monitoring platform and a PC electrocardiogram monitoring platform, wherein the cellphone App electrocardiogram monitoring platform receives the electrocardiogram and motion and position information which are transmitted from the dynamic electrocardiogram monitoring waistband, and transmits the received information to a cloud server; and the PC electrocardiogram monitoring platform obtains the electrocardiogram and motion and position information from a database of the cloud server, de-noises and displays the electrocardiogram, performs motion recognition on the motion information via a motion recognition algorithm, and displays the position information in real time through building a relationship with a Baidu map API. The electrocardiogram monitoring system is portable and facilitates monitoring of daily motion status of a user, and the electrocardiogram can be remotely monitored in real time.

Description

technical field [0001] The invention relates to the technical field of signal and information processing, in particular to an electrocardiogram monitoring system and a monitoring method with motion recognition and positioning functions. Background technique [0002] In recent years, cardiovascular disease has become the number one killer of human beings, seriously threatening human life and health, and has the characteristics of suddenness and latentness. According to scientific research, patients suffering from cardiovascular disease will have abnormal changes in the ECG waveform within a few minutes before the onset of the disease. Therefore, real-time monitoring of human ECG signals is of great significance to the prevention and diagnosis of cardiovascular diseases. [0003] In the research on the design of the ECG monitoring system, the denoising of the ECG signal is particularly important under the condition that the normal collection of the ECG signal can be guaranteed...

AI Technical Summary

Problems solved by technology

[0004] However, conventional electrocardiographs are large in size and poor in portability, and are only suitable for monitoring users' ECG signals in hospitals

In the traditional Holter ECG monitoring, when the user is in a state of exercise, the ECG waveform will become difficult to recognize under the interference of motion noise, and the doctor can only judge that the ECG waveform does not have medical reference value. Through clinical Judging by experience, the user may be moving or stationary at this time

This also brings inconvenience to the doctor's monitoring and diagnosis

Moreover, Holter cannot realize remote ECG data transmission, which is not conducive to real-time interaction between doctors and users

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