Spike Sorting Tool for Analysis of Cardiac Extracellular Signals Recorded by Thin-Film-Transistor Sensor Arrays
- 10.2991/jrnal.k.200512.010How to use a DOI?
- Thin-film-transistor arrays; spike sorting; extracellular potentials; cardiomyocytes
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.
- © 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 -