Jun Cao,Kaifeng Zang,Youchao LV,Pengfei Zhao,Erbin Wang,Chang Liu
申请号：
US16651890
公开号：
US20200260979A1
申请日:
2018.01.12
申请国别(地区):
US
年份:
2020
代理人:
摘要：
An artificial intelligence self-learning-based static electrocardiography analysis method and apparatus, the method comprising data preprocessing, heartbeat detection, heartbeat classification based on a depth learning method, heartbeat verification, heartbeat waveform feature detection, measurement and analysis of electrocardiography events, and finally automatic output of reporting data, realizing an automated static electrocardiograph analysis method having a complete and rapid flow. The static electrocardiography analysis method can also record modification information of an automatic analysis result, collect modified data, and feed same back to the depth learning model to continue training, thereby continuously making improvements and improving the accuracy of the automatic analysis method.
