The international first "Digital Smart Smart Snorida" developed by Guangong was approved to enter the medical device market

Author:Yangcheng Evening News Yangche Time:2022.09.11

Text/Yangcheng Evening News all -media reporter Chen Liang

Correspondent Sun Weijun

Photo/school provided

A few days ago, the intelligent information processing team developed by Professor Xie Shengli, a foreign academician of the Russian Academy of Engineering and the Intelligent Medical Group led by Professor Xie Shengli, the Institute of Automation of Guangdong University of Technology, developed the first international "digital intelligent steenper" with heart-lung sound separation function. Certificate and allow production to enter my country's medical device market and the European Union market.

It is reported that this product is the head of the smart medical team, Associate Professor Xie Kan, in accordance with the team's deployment, leads Associate Professor Lu Jun and Associate Professor Yang Qiyu, a hardware designer to conduct in-depth medical-workers-industry integration and make full use of the first-line medical workers Accumulate experience, give full play to the development of technological innovation such as artificial intelligence technology, innovative soft and hardware design, etc., breaking the history of more than 200 years of traditional stethoscopy, and laid a solid foundation for the digital and intelligentization of the audiors.

Digitalization and intelligence are a development direction of modern auscultality, especially for the maintenance of medical electronic data, remote consultation, and improvement of medical conditions in remote areas. According to reports, this auspicious device is easy to carry, simple operation, and clear auscultation. The use of artificial intelligence technology can accurately extract the heart sound and lung sound; test and early warning of wet sounds, dry sounds, and abnormal heart sounds. For clinicians, it is easier to distinguish the content of patients, and it is easier to identify and diagnose low -age doctors.

Source | Yangcheng Evening News · Yangcheng School

Responsible editor | Liu Xinyu

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