平稳小波变换作为心脏电生理学中房性双极电图电力线干扰的高效抑制器
The Stationary Wavelet Transform as an Efficient Reductor of Powerline Interference for Atrial Bipolar Electrograms in Cardiac Electrophysiology
AI总结：
本文提出一种基于平稳小波变换收缩的算法，用于抑制心脏电生理双极心内电图的电力线干扰，在保持信号形态的同时优于传统滤波和小波方法，有助于更准确评估心房颤动机制。
摘要：
目的：心脏电生理（EP）实验室中最主要的信号污染源是普遍存在的电力线干扰（PLI）。为了减少这种扰动，已提出包括固定带宽陷波滤波器和自适应陷波滤波器在内的多种算法。尽管这些方法已被证明会给心房内电图（EGMs）引入人为碎裂，但它们仍被频繁使用。然而，这种形态学改变可能掩盖对EGMs的准确解读，尤其是在评估心房颤动（AF）这一最常见心律失常的维持机制时。鉴于AF的临床重要性，本文提出一种新算法，旨在抑制高度污染的双极EGMs上的PLI，同时保持其形态。方法：该方法基于小波收缩，并已通过一组合成EGMs上的定制指标进行验证，以精确量化所达到的PLI抑制水平和信号形态改变程度。还对一些真实EGM片段进行了算法性能的可视化验证。主要结果：在所分析的场景中，该方法优于常见的基于滤波和基于小波的策略。此外，它还具有对PLI幅度和频率变化不敏感以及能够联合去除多种干扰等优点。意义：在常规心脏EP研究中使用该算法可能有助于改进并真实地评估AF机制。
英文摘要：
Objective: The most relevant source of signal contamination in the cardiac electrophysiology (EP) laboratory is the ubiquitous powerline interference (PLI). To reduce this perturbation, algorithms including common fixed bandwidth and adaptive notch filters have been proposed. Although such methods have proven to add artificial fractionation to intra atrial electrograms (EGMs), they are still frequently used. However, such morphological alteration can conceal the accurate interpretation of EGMs, specially to evaluate the mechanisms supporting atrial fibrillation (AF), which is the most common cardiac arrhythmia. Given the clinical relevance of AF, a novel algorithm aimed at reducing PLI on highly contaminated bipolar EGMs and, simultaneously, preserving their morphology is proposed. Approach: The method is based on the wavelet shrinkage and has been validated through customized indices on a set of synthesized EGMs to accurately quantify the achieved level of PLI reduction and signal morphology alteration. Visual validation of the algorithms performance has also been included for some real EGM excerpts. Main results: The method has outperformed common filtering-based and wavelet based strategies in the analyzed scenario. Moreover, it possesses advantages such as insensitivity to amplitude and frequency variations in the PLI, and the capability of joint removal of several interferences. Significance: The use of this algorithm in routine cardiac EP studies may enable improved and truthful evaluation of AF mechanisms.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
