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Processing and analysis of cardiac optical mapping data obtained with potentiometric dyes

机译:处理和分析用电位染料获得的心脏光学作图数据

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摘要

Optical mapping has become an increasingly important tool to study cardiac electrophysiology in the past 20 years. Multiple methods are used to process and analyze cardiac optical mapping data, and no consensus currently exists regarding the optimum methods. The specific methods chosen to process optical mapping data are important because inappropriate data processing can affect the content of the data and thus alter the conclusions of the studies. Details of the different steps in processing optical imaging data, including image segmentation, spatial filtering, temporal filtering, and baseline drift removal, are provided in this review. We also provide descriptions of the common analyses performed on data obtained from cardiac optical imaging, including activation mapping, action potential duration mapping, repolarization mapping, conduction velocity measurements, and optical action potential upstroke analysis. Optical mapping is often used to study complex arrhythmias, and we also discuss dominant frequency analysis and phase mapping techniques used for the analysis of cardiac fibrillation.
机译:在过去的20年中,光学测绘已成为研究心脏电生理的越来越重要的工具。多种方法用于处理和分析心脏光学标测数据,目前关于最佳方法尚无共识。选择处理光学测绘数据的特定方法很重要,因为不适当的数据处理会影响数据的内容,从而改变研究结论。在这篇评论中提供了处理光学成像数据的不同步骤的详细信息,包括图像分割,空间滤波,时间滤波和基线漂移消除。我们还提供了对从心脏光学成像获得的数据进行的常见分析的描述,包括激活映射,动作电位持续时间映射,复极化映射,传导速度测量和光学动作电位上冲分析。光学测绘通常用于研究复杂的心律不齐,我们还讨论了用于分析心脏纤颤的主要频率分析和相位测绘技术。

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