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用微电极阵列获得的体外心脏场电位记录的平均值。

Averaging in vitro cardiac field potential recordings obtained with microelectrode arrays.

机构信息

Regea - Institute for Regenerative Medicine, University of Tampere and Tampere University Hospital, Tampere, Finland.

出版信息

Comput Methods Programs Biomed. 2011 Nov;104(2):199-205. doi: 10.1016/j.cmpb.2011.04.001. Epub 2011 Jun 8.

DOI:10.1016/j.cmpb.2011.04.001
PMID:21645941
Abstract

Extracellular field potential (FP) recordings with microelectrode arrays (MEAs) from cardiomyocyte cultures offer a non-invasive way of studying the electrophysiological properties of these cells at the population level. Several studies have examined the FP properties of cardiomyocytes of various origins, including stem cell-derived cardiomyocytes. This focus reflects growing importance and interest in the field of MEA. High-quality cardiac FP signals are often difficult to obtain, especially from stem cell-derived cardiomyocyte cultures, which represent an important new field in cardiac electrophysiology. One way to improve the quality of these recordings is to average the cardiac FP signals. To date, however, no studies have examined the effect of averaging on cardiac FP signals. We report here that cardiac FP averaging can yield higher-quality signals than original individual FPs, and therefore promise more accurate detection of different phases and analysis of the cardiac FP signal. Averaged signals improved the signal-to-noise ratio (SNR), and obtaining reliable averages required approximately 50 cardiac cycles. We therefore propose that routine cardiac FP averaging can serve as a tool to compare the effects of different experimental conditions or stimuli on the properties of cardiac FPs.

摘要

细胞外场电位 (FP) 记录与心肌细胞培养的微电极阵列 (MEA) 相结合,提供了一种非侵入性的方法,可在群体水平上研究这些细胞的电生理特性。已有多项研究检查了源自不同来源的心肌细胞的 FP 特性,包括干细胞衍生的心肌细胞。这种关注反映了 MEA 领域日益重要和兴趣的增长。高质量的心脏 FP 信号通常难以获得,特别是来自干细胞衍生的心肌细胞培养物,这是心脏电生理学的一个重要新领域。提高这些记录质量的一种方法是对心脏 FP 信号进行平均处理。然而,迄今为止,尚无研究检查平均处理对心脏 FP 信号的影响。我们在这里报告,心脏 FP 平均处理可以产生比原始单个 FP 更高质量的信号,因此有望更准确地检测不同阶段并分析心脏 FP 信号。平均信号提高了信噪比 (SNR),并且获得可靠的平均值需要大约 50 个心脏周期。因此,我们建议常规的心脏 FP 平均处理可以作为一种工具,用于比较不同实验条件或刺激对心脏 FP 特性的影响。

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