Spike Sorting Tool for Analysis of Cardiac Extracellular Signals Recorded by Thin-Film-Transistor Sensor Arrays

Authors
Anne-Claire Eiler1, *, Junichi Sugita2, Satoshi Ihida3, Hiroshi Toshiyoshi4, Katsuhito Fujiu1, Timothée Levi5, 6, Agnès Tixier-Mita7
1Department of Advanced Interdisciplinary Studies, Graduate School of Engineering, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan
2Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan
3Development Group, Display Device Company, Sharp Corporation, Tenri, Nara, Japan
4Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan
5IMS lab, University of Bordeaux, Talence, 351 cours de la Liberation, 33400 France
6LIMMS/CNRS-IIS (UMI-2820), Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan
7Research Center for Advanced Science and Technology, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan
*Corresponding author. Email: [email protected]; www.u-tokyo.ac.jp
Corresponding Author
Anne-Claire Eiler
Received 1 November 2019, Accepted 29 February 2020, Available Online 20 May 2020.
DOI
https://doi.org/10.2991/jrnal.k.200512.010How to use a DOI?
Keywords
Thin-film-transistor arrays; spike sorting; extracellular potentials; cardiomyocytes
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.
Copyright
© 2020 The Authors. Published by ALife Robotics Corp. Ltd.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).