뉴스

Methods 

A total of 13949 clinical data of arrhythmia were collected from 13145 patients who were treated with artificial intelligence ECG network in our hospital. Computer analysis was performed using Lepu artificial intelligence ECG network system to obtain the analysis results of artificial intelligence algorithm. Taking the diagnostic results of the physician team as the gold standard, the sensitivity, specificity, positive prediction rate, and negative prediction accuracy rate in the screening test were used to assess the effectiveness of the artificial intelligence ECG algorithm compared with the gold standard. 

결과

Seventeen types of arrhythmia events including sinus arrhythmia and atrial fibrillation were diagnosed by ECG algorithm based on artificial intelligence. The comprehensive sensitivity, specificity and accuracy of these 17 types of arrhythmia events were 98.08%, 99.84% and 99.84%, respectively. Among them, the consistency Kappa coefficients of 6 types of arrhythmias (pairing of supraventricular contractions, atrial escape and ventricular escape, etc.) were greater than 0.4 but less than 0. 75, which meet the consistency requirements but without strong consistency. 

Conclusion 

부정맥에 대한 인공 지능 기반 ECG 알고리즘의 테스트 결과는 임상 ECG 테스트 결과와 매우 일치합니다. 인공 지능 기반 ECG 알고리즘은 좋은 임상 실습 전망을 가지고 있습니다.

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