Journal of Robotics, Networking and Artificial Life

Volume 7, Issue 1, June 2020, Pages 48 - 51

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: anne@iis.u-tokyo.ac.jp; www.u-tokyo.ac.jp
Corresponding Author
Anne-Claire Eiler
Received 1 November 2019, Accepted 29 February 2020, Available Online 20 May 2020.
DOI
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 Atlantis Press SARL.
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/).

Download article (PDF)
View full text (HTML)

Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
7 - 1
Pages
48 - 51
Publication Date
2020/05/20
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
10.2991/jrnal.k.200512.010How to use a DOI?
Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
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/).

Cite this article

TY  - JOUR
AU  - Anne-Claire Eiler
AU  - Junichi Sugita
AU  - Satoshi Ihida
AU  - Hiroshi Toshiyoshi
AU  - Katsuhito Fujiu
AU  - Timothée Levi
AU  - Agnès Tixier-Mita
PY  - 2020
DA  - 2020/05/20
TI  - Spike Sorting Tool for Analysis of Cardiac Extracellular Signals Recorded by Thin-Film-Transistor Sensor Arrays
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 48
EP  - 51
VL  - 7
IS  - 1
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.k.200512.010
DO  - 10.2991/jrnal.k.200512.010
ID  - Eiler2020
ER  -