Title:
人工知能自己学習に基づく心電図自動解析方法、その解析方法の実行に用いられる装置、コンピュータプログラム製品及びコンピュータ読み取り可能な記憶媒体
Document Type and Number:
Japanese Patent JP7091451
Kind Code:
B2
Abstract:
An artificial intelligence self-learning-based automatic electrocardiography analysis method and apparatus, said 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.
Inventors:
Cao
Application Number:
JP2020521443A
Publication Date:
June 27, 2022
Filing Date:
January 12, 2018
Export Citation:
Assignee:
Shanghai Lepu CloudMed Co., LTD
International Classes:
A61B5/346
Domestic Patent References:
| JP2017077461A | ||||
| JP2013524865A | ||||
| JP10085197A |
Foreign References:
| WO2017072250A1 |
Attorney, Agent or Firm:
Mitsuhiro Imamura