ARTIFICIAL INTELLIGENCE SELF-LEARNING-BASED STATIC ELECTROCARDIOGRAPHY ANALYSIS METHOD AND APPARATUS
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...
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| creator | LV, Youchao Zhao, Pengfei Wang, Erbin Liu, Chang Cao, Jun Zang, Kaifeng |
| description | 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. |
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| subjects | DIAGNOSIS HUMAN NECESSITIES HYGIENE IDENTIFICATION MEDICAL OR VETERINARY SCIENCE SURGERY |
| title | ARTIFICIAL INTELLIGENCE SELF-LEARNING-BASED STATIC ELECTROCARDIOGRAPHY ANALYSIS METHOD AND APPARATUS |
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