Choi Changmok, Kim Younho, Shin Kunsoo
Future IT Research Center, Samsung Advanced Institute of Technology (SAIT), Samsung Electronics Co., Ltd., Yongin, the Republic of Korea.
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:5638-41. doi: 10.1109/EMBC.2012.6347273.
We present a QRS detection algorithm for wearable ECG applications using a proportional-derivative (PD) control. ECG data of arrhythmia have irregular intervals and magnitudes of QRS waves that impede correct QRS detection. To resolve the problem, PD control is applied to avoid missing a small QRS wave followed from a large QRS wave and to avoid falsely detecting noise as QRS waves when an interval between two adjacent QRS waves is large (e.g. bradycardia, pause, and arioventricular block). ECG data was obtained from 78 patients with various cardiovascular diseases and tested for the performance evaluation of the proposed algorithm. The overall sensitivity and positive predictive value were 99.28% and 99.26%, respectively. The proposed algorithm has low computational complexity, so that it can be suitable to apply mobile ECG monitoring system in real time.
我们提出了一种用于可穿戴式心电图应用的基于比例-微分（PD）控制的QRS波检测算法。心律失常的心电图数据具有不规则的QRS波间期和幅度，这会妨碍正确的QRS波检测。为了解决这个问题，应用PD控制以避免错过紧跟在大QRS波之后的小QRS波，并避免在两个相邻QRS波之间的间期较大时（例如心动过缓、停搏和房室传导阻滞）将噪声误检测为QRS波。从78例患有各种心血管疾病的患者中获取心电图数据，并对所提出算法的性能进行评估测试。总体灵敏度和阳性预测值分别为99.28%和99.26%。所提出的算法具有较低的计算复杂度，因此适合实时应用于移动心电图监测系统。
