Electrocardiograph monitoring system based on Internet of Things

Abstract

The invention relates to an electrocardiograph monitoring system based on Internet of Things. The electrocardiograph monitoring system comprises an electrocardiograph collecting module, a main intelligent mobile terminal and an electrocardiograph monitoring module, wherein the electrocardiograph collecting module is connected with the main intelligent mobile terminal, the bidirectional communication is realized between the main intelligent mobile terminal and the electrocardiograph monitoring module, the electrocardiograph collecting module comprises a signal collecting end, a data processing module and a signal transmitting module which are sequentially connected, the data processing module is used for processing the collected electrocardiograph signal and sending to the main intelligent mobile terminal through the signal transmitting module, the main intelligent mobile terminal is used for sending the electrocardiograph signal to the electrocardiograph monitoring module, the electrocardiograph monitoring module comprises a remote communication module, a diagnosis and analysis module and an electrocardiograph signal database, the remote communication module is used for communicating with the main intelligent mobile terminal, and sending the received electrocardiograph signal to the electrocardiograph database to be stored, and the diagnosis and analysis module is used for extracting the received signal of the electrocardiograph database, diagnosing and analyzing the signal, and sending the results to the main intelligent mobile terminal through the remote communication module after diagnosis and analysis.

Description

technical field [0001] The invention relates to the technical field of human biological detection, in particular to an ECG monitoring system based on the Internet of Things. Background technique [0002] Heart disease has the characteristics of slow and hidden disease development, and once the onset is critical, it is a serious threat to human life. Under normal circumstances, the main causes of sudden death in patients with heart disease are malignant arrhythmia and heart failure; special heart attacks have no time rules, and such patients will show symptoms in normal work or life, but they will go to the hospital for ECG. Symptoms may disappear during the examination. Therefore, abnormal ECG cannot be detected, causing doctors to be unable to make accurate judgments on the condition and delaying the best time for treatment. If fatal arrhythmia can be identified clinically in time and effective prevention and treatment measures can be taken, the success rate of saving pati...

AI Technical Summary

Problems solved by technology

However, this ECG monitoring system has the following disadvantages: 1. It does not have an intelligent analysis and early warning function, and cannot automatically identify and send abnormal ECG signals. The patient must manually collect and send them. Often unable to perform manual operations and lose the best time for treatment

2. Unable to realize real-time, continuous and multi-lead ECG monitoring, which has very limited significance in clinical application, especially in the monitoring of ischemic heart disease and complex arrhythmia

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