Ji Zhong, Qin Shuren, Peng Chenglin
Test Center, College of Mechanical Engineering, Chongqing University, Chongqing 400030, China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2006 Dec;23(6):1186-90.
This paper introduces a virtual recording and analysis instrumentation system for recording and identifying electrocardiographic (ECG) signals. The system developed is aimed at constructing a PC-based virtual instrumentation which enables to record. investigate and measure the ECG signal of 12 leads simultaneously and perfectly in order to improve the measuring precision of ECG. Based on the proper feature in time domain of Mexican hat wavelet expressed by positioning and analysis precision for QRS complex, the instrumentation system uses continuous wavelet transform(CWT) and uses the Mexican hat as the wavelet base to measure precisely the characteristic information and generate the precise characteristic parameters of ECG. The analysis of measured ECG signals in hospital demonstrated that even in the condition with serious noise interference, the method presented is still easily to describe the characteristics of ECG on line precisely which makes the instrumentation system valuable in practical application.
本文介绍了一种用于记录和识别心电图（ECG）信号的虚拟记录与分析仪器系统。所开发的系统旨在构建基于个人计算机的虚拟仪器，该仪器能够同时且完美地记录、研究和测量12导联的心电图信号，以提高心电图的测量精度。基于墨西哥帽小波在时域中通过对QRS波群的定位和分析精度所表现出的适当特征，该仪器系统采用连续小波变换（CWT）并以墨西哥帽作为小波基来精确测量心电图的特征信息并生成精确的特征参数。在医院对测量的心电图信号进行分析表明，即使在存在严重噪声干扰的情况下，所提出的方法仍能轻松地在线精确描述心电图的特征，这使得该仪器系统在实际应用中具有价值。
