Jun Cao,Yan Jiang,Tao Liu,Kaifeng Zang,Chuanyan Hu,Chang Liu
申请号：
US16651933
公开号：
US20200305799A1
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 automatic electrocardiography analysis method and apparatus, the method comprising data preprocessing, heartbeat feature detection, interference signal detection and heartbeat classification based on deep learning, signal quality evaluation and lead combination, heartbeat verification, analysis and calculation of electrocardiography events and parameters, and finally automatic output of reporting data, realizing an automated analysis method having a complete and rapid flow. The automatic electrocardiography analysis method may 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.
