The diagnostic efficiency of artificial intelligence based 2 hours Holter monitoring in premature ventricular and supraventricular contractions detection

• DOI: 10.1002/clc.24266
• Publication Date: 2024-04-08T11:30:20Z
• Authors: Qiong Huang; Yuansheng Fan; Jialin Wang; Zhiyang Xu; Linfeng Yang; Junhong Wang; Yiyang Zhan; Xiangqing Kong; Ningtian Zhou
• Keywords: Holter monitor; Supraventricular arrhythmia

Abstract Background Electrocardiography (ECG) and 24 hours Holter monitoring (24 h‐Holter) provided valuable information for premature ventricular supraventricular contractions (PVC PSVC). Currently, artificial intelligence (AI) based 2 single‐lead (2 may provide an improved strategy PSVC/PVC diagnosis. Hypothesis AI combined with improves detection. Methods In total, 170 patients were enrolled between August 2022 2023. All wore both devices simultaneously; then, we compared diagnostic efficiency, including the sensitivity/specificity/positive predictive‐value (PPV) negative (NPV) in detecting by h‐Holter h‐Holter. Results The PPV NPV underwent 76.00%/87.50% 96.35%/98.55, respectively, sensitivity specificity 79.17%/91.30%, 95.65%/97.84% detection areas under ROC curves (AUCs) PSVC PVC 0.885 0.741, respectively ( p < .0001). Conclusions potential advantages of shortened wearing period, convenience, excellent consistency