IEEE Trans Biomed Eng. 2021 Nov;68(11):3250-3260. doi: 10.1109/TBME.2021.3067698. Epub 2021 Oct 19.
A large number of atrial fibrillation (AF) detectors have been published in recent years, signifying that the comparison of detector performance plays a central role, though not always consistent. The aim of this study is to shed needed light on aspects crucial to the evaluation of detection performance.
Three types of AF detector, using either information on rhythm, rhythm and morphology, or segments of ECG samples, are implemented and studied on both real and simulated ECG signals. The properties of different performance measures are investigated, for example, in relation to dataset imbalance.
The results show that performance can differ considerably depending on the way detector output is compared to database annotations, i.e., beat-to-beat, segment-to-segment, or episode-to-episode comparison. Moreover, depending on the type of detector, the results substantiate that physiological and technical factors, e.g., changes in ECG morphology, rate of atrial premature beats, and noise level, can have a considerable influence on performance.
The present study demonstrates overall strengths and weaknesses of different types of detector, highlights challenges in AF detection, and proposes five recommendations on how to handle data and characterize performance.
近年来已经发表了大量的心房颤动（AF）检测器，这表明检测器性能的比较起着核心作用，尽管并不总是一致的。本研究的目的是阐明评估检测性能的关键方面。
使用关于节律、节律和形态或 ECG 样本片段的信息的三种类型的 AF 检测器在真实和模拟 ECG 信号上进行实施和研究。研究了不同性能度量的特性，例如与数据集不平衡的关系。
结果表明，检测器输出与数据库注释的比较方式，即逐拍、逐段或逐段比较，性能可能会有很大差异。此外，根据检测器的类型，结果证实生理和技术因素，例如 ECG 形态变化、房性早搏率和噪声水平，可能对性能有相当大的影响。
本研究总体上展示了不同类型的检测器的优势和劣势，突出了 AF 检测中的挑战，并提出了五项关于如何处理数据和描述性能的建议。
