Emergency cardiovascular care network system and classification and early warning method thereof

Abstract

The invention discloses an emergency cardiovascular care network system and a classification and early warning method thereof. The system comprises a doctor client, an emergency center server system and a 12 lead electrocardiogram collection module, the 12 lead electrocardiogram collection module sends collected information to a medical tablet personal computer through Bluetooth, and transmits thecollected information to the emergency center server system through a 4G wireless network, and the emergency center server system is connected with the medical client. Accordingly, electrocardiogramabnormality symptoms of patients can be classified and pre-warned according to emergencies, medical specialists are helped to judge cardiovascular diseases in the early stage, and the medical treatment time of the patients suffering from the cardiovascular diseases is greatly shortened.

Description

Technical field [0001] The invention belongs to the field of medical signal processing, and particularly relates to a cardiovascular emergency network system and a classification early warning method. Background technique [0002] Acute Cardiovascular Diseases (ACVD) is a group of acute clinical syndromes involving the heart and peripheral circulatory system. There are 270 million cardiovascular patients in my country, and 3 million people die from ACVD each year, accounting for 30% of the total population deaths. ; By 2030, the number of people dying from cardiovascular disease will increase to 20 million; it is imperative to further improve the ability to treat ACVD. [0003] At present, the distribution of medical resources and technology under my country’s existing medical system is extremely unbalanced; the level of medical technology is low, the quality of medical care cannot meet the basic needs of patients, and the public lacks the necessary vigilance and awareness of the cl...

AI Technical Summary

Problems solved by technology

The electrocardiogram can directly reflect the health status of the human heart, and has greater accuracy in the diagnosis of some cardiovascular diseases such as myocardial ischemia, atrioventricular hypertrophy, and various arrhythmias. In the process, it is necessary to accurately measure a large number of waveform parameters, and at the same time have rich experience in clinical diagnosis and theoretical knowledge, which will inevitably affect the correct diagnosis of clinical heart disease by medical units. wrong decision

In addition, because medical workers with professional knowledge are required to manually read the ECG, it is not conducive to patients' self-testing at home, and it is not convenient for patients in some special areas such as mountainous areas with inconvenient transportation to make a timely diagnosis.

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