Suzuki Takuji, Kameyama Ken-ichi, Tamura Toshiyo
Corporate Research and Development Center Toshiba Corporation, Kanagawa, Japan.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:6080-3. doi: 10.1109/IEMBS.2009.5335401.
We developed an arrhythmic pulse detection algorithm from photoplethysmography (PPG) measured in daily life using a wearable PPG sensor, in order to provide a simpler device than a Holter electrocardiograph (ECG). However, PPG is very sensitive to artifacts in daily life, e.g. body movement. First, we analyzed the correlation between the ECG and the PPG measured at the same time when the arrhythmic heartbeat occurred in daily life. Using the correlation characteristics, we developed a detection algorithm of the arrhythmic pulse to distinguish the artifacts ascribable to body movement and evaluated its accuracy. The algorithm detects pulse-to-pulse interval (PPI) and pulse amplitude by a beat to distinguish between irregular PPI by arrhythmic pulse and that by the artifact.
我们利用可穿戴式光电容积脉搏波描记法（PPG）传感器，开发了一种基于日常生活中测量的光电容积脉搏波信号的心律失常脉搏检测算法，目的是提供一种比动态心电图仪（ECG）更简单的设备。然而，PPG在日常生活中对伪影非常敏感，例如身体运动。首先，我们分析了日常生活中出现心律失常心跳时，同步测量的心电图和PPG之间的相关性。利用这些相关特性，我们开发了一种心律失常脉搏检测算法，以区分由身体运动引起的伪影，并评估了其准确性。该算法通过逐个搏动检测脉搏间期（PPI）和脉搏幅度，以区分心律失常脉搏引起的不规则PPI和伪影引起的不规则PPI。
