We introduce and investigate a method to identify the feature point of an electrocardiogram (ECG) to provide real-time and accurate trigger signals for pulsatile ventricular assist devices (PVADs). An important part of this method is an improved data processing algorithm, in which a differential calculator and another a low-pass filtering were added to avoid drift in the original signal and systematically delay caused by physical devices. The method was systematically illustrated in this article and a test-setup was built based on the LabVIEW program development environment. Both simulations and experiments were carried out to demonstrate the merits of the method. Simulated results based on four typical pathological ECG signals confirm the robustness and adaptability of this method. Experimental results verified the benefits of this method with regard to increased accuracy that can pick up the interested signal accurately in a degree of larger than 99%. This improved technology proposed in this research will be greatly beneficial to simultaneous triggering in VADs and eventually to the heart failure recovery.

我们介绍并研究了一种识别心电图（ECG）特征点的方法，以为脉动性心室辅助设备（PVAD）提供实时且准确的触发信号。此方法的重要部分是改进的数据处理算法，其中添加了差分计算器和另一个低通滤波，以避免原始信号的漂移和物理设备引起的系统性延迟。本文系统地说明了该方法，并基于LabVIEW程序开发环境构建了测试设置。进行了仿真和实验，以证明该方法的优点。基于四个典型病理ECG信号的仿真结果证实了该方法的鲁棒性和适应性。实验结果证明了该方法在提高准确性方面的好处，该准确性可以以大于99％的程度准确地拾取感兴趣的信号。这项研究中提出的这项改进的技术将极大地有益于同时触发VAD，并最终有助于心力衰竭的恢复。