To investigate the clinical application value of artificial intelligence ECG ( AI-ECG) monitoring for arrhythmia detection, the First Hospital Affiliated to Hebei North College enrolled a total of 1,240 patients and made a comparison between AI-ECG group (using 24h holter patch ER1-LB and AI diagnosis) and Holter group (using 24h conventional holter and manual diagnosis).
The result shows that ECG processing time in the AI-ECG group was significantly shorter than that in the Holter group (the AI-ECG is 5.26 ±0.82 minutes while the Holter group is 7.68 +0.55 minutes). The positive diagnosis rate of arrhythmia AI-ECG group was 68. 87% ( 854/1,240) , which was significantly higher than that [38.87% (482/1,240) ] in Holter group.
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