Wearable electrocardio dynamic full-true mapping intelligent defibrillator and control method thereof

Abstract

The present invention discloses a wearable electrocardio dynamic full-true mapping intelligent defibrillator. The wearable electrocardio dynamic full-true mapping intelligent defibrillator comprises clothes, electrocardio patches, defibrillation electrode patches, a flexible energy storage device and a miniature embedded control center, and the electrocardio patches, the defibrillation electrode patches and the miniature embedded control center are detachably arranged on the clothes; and the flexible energy storage device supplies power to the miniature embedded control center and the defibrillation electrode patches and comprises a flexible water system battery and / or a flexible super capacitor. The wearable electrocardio dynamic full-true mapping intelligent defibrillator realizes long-term and continuous monitoring of 12-lead electrocardio-activity, can be used for diagnosis, prognosis evaluation and complication prevention treatments of cardiovascular diseases, sleep apnea syndromeand other diseases, can safely conduct defibrillation in time and can also effectively avoid discharge by mistake. The present invention also discloses the control method of the wearable electrocardio dynamic full-true mapping intelligent defibrillator.

Description

technical field [0001] The invention relates to an intelligent medical device, in particular to a wearable intelligent defibrillator for electrocardiogram dynamic and true mapping. Background technique [0002] Cardiovascular disease is the disease with the highest morbidity and mortality worldwide. According to the "Heart Disease and Stroke Statistics (2019 Edition)" released by the American Heart Association, in 2016, more than 17.6 million people died of cardiovascular diseases worldwide, ranking first among all causes of death; among them, coronary atherosclerosis Heart disease (coronary heart disease) is the leading cause of death from cardiovascular disease in all regions of the world. The "China Cardiovascular Disease Report 2018" pointed out that in 2016, the number of patients with cardiovascular disease in my country reached 290 million; the number of deaths due to cardiovascular disease accounted for the first place in the total number of deaths among urban and r...

AI Technical Summary

Problems solved by technology

However, at present, the popularization of first aid knowledge in our country is low, the recognition rate of cardiac arrest is low, and the popularization of automatic external defibrillator (AED) is relatively poor.

A number of domestic surveys and studies have shown that the allocation rate of defibrillators in township health centers is less than 10%; while in the economically developed Yangtze River Delta region, the implementation rate of external cardiac defibrillation in first-level hospitals is still less than 50%, and emergency physicians in grass-roots hospitals can be familiar with it. Only 50% of the knowledge of cardiac electrical defibrillation, less than 10% of medical staff have used a defibrillator

[0009] Disadvantages: The coverage rate of AED in China is very low, and most patients lose their lives due to missed rescue time. At present, the automatic defibrillator configured in China is not allowed to be used by untrained non-professionals. It is large in size, heavy in quality, and expensive More expensive, more single function (only for cardiac arrest patients)

[0012] Defects: The placement of the device is invasive, and interventional surgery is required for placement; high cost, long hospital stay, and high opportunity cost; there are risks of infection, bleeding, and even death from shock; lack of real-time data analysis, only electrocardiogram diagnosis can be obtained, and no Combining with clinical symptoms to realize clinical diagnosis; it is impossible to formulate a treatment plan according to the patient's condition; it is troublesome to replace the battery

[0017] 2. The ECG monitoring of the three is a fixed algorithm, and the current relatively advanced artificial intelligence, deep learning, cloud computing, big data and other algorithms have not been used to improve the safety and effectiveness of ECG monitoring;

[0018] 3. The patch used is relatively simple, uncomfortable to wear and easy to fall off;

[0019] 4. The safety process of discharge monitoring is simple and the safety is not high;

[0020] 5. The power of the battery used is limited, and the power storage measures require high power, resulting in a large battery size, which is inconvenient to carry and the number of discharges is limited

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