METHODS: Raw ECG data obtained from 5 patients with LVADs. LVAD types included HeartMate II, III at multiple impeller speeds, and a case with HeartMate III and a ProtekDuo. ECG spectral profiles were examined ensuring the presence of diverse types of EMI in the study. ECGs were then processed with four denoising techniques: Moving Average Filter, Finite Impulse Response Filter, Fast Fourier Transform, and Discrete Wavelet Transform.
RESULTS: Discrete Wavelet Transform proved as the most promising method. It offered a one solution fits all, enabling automatic processing with minimal user input while preserving crucial high-frequency components and reducing LVAD EMI artifacts.
CONCLUSIONS: Our study demonstrates the practicality and efficiency of Discrete Wavelet Transform in obtaining high-fidelity ECGs in LVAD patients. This method could enhance clinical diagnosis and monitoring.
方法:从5例LVAD患者获得的原始ECG数据。LVAD类型包括HeartMateII,III在多个叶轮速度下,还有HeartMateIII和ProtekDuo的案子.检查ECG频谱图,以确保研究中存在各种类型的EMI。然后用四种去噪技术处理ECG:移动平均滤波器,有限脉冲响应滤波器,快速傅里叶变换,和离散小波变换。
结果:离散小波变换被证明是最有前途的方法。它提供了一个适合所有人的解决方案,以最少的用户输入实现自动处理,同时保留关键的高频组件并减少LVADEMI伪影。
结论:我们的研究证明了离散小波变换在LVAD患者中获得高保真ECG的实用性和有效性。该方法可以增强临床诊断和监测。