Eguchi Kana, Aoki Ryosuke, Yoshida Kazuhiro, Yamada Tomohiro
Annu Int Conf IEEE Eng Med Biol Soc. 2017 Jul;2017:1307-1311. doi: 10.1109/EMBC.2017.8037072.
Electrocardiograms (ECGs) captured by wearable ECG devices easily contain artifacts because of measurement faults. Since the frequency characteristics of artifacts are quite similar to those of R waves, it may result in R-R interval (RRI) miscalculations. To enable accurate heart rate variability (HRV) analysis in daily life, this paper proposes a method to reliably evaluate RRI measurement status, one that uses the electric potential characteristics of the QRS complex. Initial evaluation results show that it has the potential to distinguish miscalculated RRIs. Also proposed is a new RRI outlier exclusion method that uses the aforementioned method. Time domain measures of HRV derived from the proposed RRI outlier exclusion method are found to be more accurate than those derived from the conventional one.
可穿戴式心电图设备采集的心电图（ECG）由于测量故障很容易包含伪迹。由于伪迹的频率特性与R波的频率特性非常相似，这可能会导致R-R间期（RRI）计算错误。为了在日常生活中实现准确的心率变异性（HRV）分析，本文提出了一种可靠评估RRI测量状态的方法，该方法利用QRS复合波的电位特性。初步评估结果表明，它有潜力区分错误计算的RRIs。还提出了一种使用上述方法的新的RRI异常值排除方法。发现从所提出的RRI异常值排除方法得出的HRV时域测量值比传统方法得出的更准确。
