Spike sorting tool for analysis of cardiac extracellular signals recorded by thin-film-transistor sensor arrays

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Abstract

The dynamical property of the heart bioelectrical system is closely associated with cardiac diseases. For this reason, there is a growing interest in the development of system analysis for studying the cardiac signaling network. In this article, extracellular potentials of cardiac muscle cells were measured on an array of microelectrodes using Thin-Film-Transistor (TFT) technology, and electrophysiological data was analyzed using a spike sorting technique. This study shows the possibility of extracting useful bioelectrical information from the extracellular signals recorded by TFT arrays.

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Eiler, A. C., Sugita, J., Ihida, S., Toshiyoshi, H., Fujiu, K., Levi, T., & Tixier-Mita, A. (2020). Spike sorting tool for analysis of cardiac extracellular signals recorded by thin-film-transistor sensor arrays. Journal of Robotics, Networking and Artificial Life, 7(1), 48–51. https://doi.org/10.2991/jrnal.k.200512.010

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