ECG Deep Focus AI algorithm helps Digital Innovation Medical to realize ECG portable measurement

Mondo Health Updated on 2024-02-28

According to the statistics of the World Health Organization, about 15 million people's lives are killed by cardiovascular and cerebrovascular diseases every year, and cardiovascular and cerebrovascular diseases can be called the number one killer of human beings. According to the China Cardiovascular Health and Disease Report 2022, there are 3300 million, 2 out of every 5 deaths are due to cardiovascular diseases, and the mortality rate of cardiovascular and cerebrovascular diseases is higher than that of tumors and other diseases, accounting for more than 45% of the deaths of residents.

A set of data from the 2023 "Survey on the Incidence, Mortality Rate and Risk Factors of Cardiac Arrest in the Chinese Population (Out-of-Hospital Part)" speculates that the number of cardiac arrests in China has exceeded 1 million people every year, 76Eighty-five per cent of cases occurred at home or outside the hospital in other indoor settings. Due to the sporadic and transient nature of heart disease, if you miss the opportunity to record the disease at the time of onset, it is likely that you will not be able to catch the abnormality and determine what the problem is. At present, there is no popular method that allows residents to test for heart disease at home, so people can only go to the hospital for testing, which will inevitably take more time on the road and lead to missing the opportunity to catch the problem at that time. "It is normal to feel uncomfortable at home, but it is normal to go to the hospital for examination" is a relatively common phenomenon at present.

As a company focusing on the field of ECG and having been deeply cultivated for 20 years, Shanghai Digital Innovation Medical Technology Co., Ltd. has long realized that the ECG monitoring and diagnosis scenario needs to gradually develop from the hospital to the out-of-hospital and home scene. Aware of the existence of public demand, Digital Innovation Medical has opened a new layout of cardiac health management - successfully transformed a wearable ECG monitoring product jointly developed with Zhongshan Hospital affiliated to Fudan University that can be used in home scenarios. This product, ECG Portable Test, was successfully launched after being approved in 2022 (Medical Device Registration Certificate No.: Shanghai Machinery Note 20222070199), and the ECG Portable Test successfully overcame two core difficulties in realizing home ECG monitoring products: first, the hardware acquisition equipment is "user-friendly" and easy to use while realizing medical-grade ECG data collection; Second, the AI algorithm supports image reading and diagnosis, which realizes the efficient processing of massive data collected by terminals.

First of all, in terms of AI algorithm intelligent diagnosis, Digital Medical, which has software algorithm genes, has started data processing research based on AI algorithms very early. Since 2017, Digitron Medical has started the research project of ECG artificial intelligence algorithms, and has established a development team with the participation of various disciplines including artificial intelligence algorithm experts, clinical medical experts, electrocardiogram experts, software development technicians, etc. At the same time, Datatron has established collaborative R&D partnerships with leading domestic research teams, such as the Advanced Institute of Data Analysis of East China Normal University and the Suzhou Institute of Biomedical Engineering and Technology of the Chinese Academy of Sciences.

In the diagnosis of heart diseases, there are more than 50 different classifications of conditions, such as sinus arrhythmia, premature ventricular contractions, premature atrial contractions, atrial fibrillation, and atrial flutter. Digital Healthcare uses two methods to break through the capabilities of AI algorithms. First of all, Datatron Medical is committed to improving the algorithm capabilities of a single ECG diagnosis category. At present, more than 30 of the most common disease classifications have been studied, and more than 20 of them have achieved a diagnostic accuracy of more than 90%; More than 10 other categories achieved a diagnostic accuracy of more than 95%. These are more accurate than the average of ECG doctors in China. Secondly, Digital Healthcare is conducting research on AI algorithms for ECG data for comprehensive classification of heart diseases. At present, the accuracy goal of the first stage of algorithm diagnosis has been achieved, and it is planned to further improve the accuracy of the algorithm through a large amount of data training. In terms of AI algorithms, Datatron Medical has applied for 57 algorithm invention patents, of which 23 have been authorized by the State Intellectual Property Office, and another 1 has been authorized by the European Patent Office. Through data processing based on AI algorithms, combined with the ECG cloud diagnosis platform, and the establishment of patients' personal ECG data files, Datatron has successfully solved the problem that ordinary people cannot read ECGs, using AI for big data analysis, and at the same time using doctors' fragmented time to manually interpret and review patients' monitoring data.

Secondly, compared with the traditional and complex 12-lead product design, the three-lead product design is adopted, which gives the digital medical ECG portable test better portability. 35g weighs, which is less than the weight of an egg1 3;The lithium battery charging method, as well as the ultra-low power consumption, allow the product to meet the battery life of up to 7 days after the completion of a single charge, which is suitable for a variety of scenarios in daily life. Even people with no medical background can use the product anywhere according to the instructions. At the same time, compared with the usual single-lead design products, the three-lead product design can provide richer cardiac data information, which can avoid the problem of missing some arrhythmias in single-lead products, which is more in line with the needs of medical diagnosis, and can detect more potential risks in a shorter time, suitable for sinus arrhythmia, premature ventricular contractions, premature atrial contractions, atrial fibrillation, atrial flutter, atrial tachycardia, bundle branch block, atrioventricular block, intraventricular block, Monitoring of a variety of cardiac diseases such as Q-T interval prolongation.

When in use, the user only needs to place the device in the middle of the chest, and the device is easy to operate. After binding the supporting applet to complete the remote upload of data, you can apply for an AI analysis report, and you can get the AI analysis results within a few minutes. You can also request a doctor's manual analysis report upon request. Within 24 hours after applying, you can view the analysis report interpreted by professional ECG doctors on the mini program, saving a lot of time to travel to and from the hospital.

It is worth mentioning that as a product of the transformation of patented achievements of Zhongshan Hospital affiliated to Fudan University, the "ECG Portable Test" series of Shuchuang Medical's "ECG Portable Test" series - Holter ECG recorder product will be selected into the list of recommended products in the field of elderly care by the Ministry of Industry and Information Technology in 2023. At the same time, the ECG portable test has been put into dozens of community health service centers in Qingpu District, Xuhui District, and Pudong New Area in Shanghai, as well as health care groups and elderly care centers across the country, empowering family doctors and related practitioners for the screening and diagnosis of heart diseases at the grassroots level, with a total of more than 10,000 tests, of which hundreds of doctors who have used this product have given positive comments. This product will gradually enter thousands of households and help tens of millions of people achieve early screening and early diagnosis of heart diseases, which is of great significance for the prevention and treatment of heart disease.

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