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

Year: 2020

Type: article

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.

Source: Journal of Robotics Networking and Artificial Life

DOI: 10.2991/jrnal.k.200512.010

Authors: Anne-Claire Eiler, Junichi Sugita, Satoshi Ihida, Hiroshi Toshiyoshi, Katsuhito Fujiu, Timothée Levi, Agnès Tixier-Mita

Institutions: Institute of Industrial Science, The University of Tokyo, Laboratory for Integrated Micro-Mechatronic Systems, Laboratoire de l'Intégration du Matériau au Système, The University of Tokyo

Language: English

Topic: Neuroscience and Neural Engineering

Subfield: Cellular and Molecular Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $377

OpenAlex ID: W3027211366

FWCI:

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