Automated Feature Extraction from Large Cardiac Electrophysiological Data Sets

Abstract excerpt

<h4>Rationale</h4> A new multi-electrode array-based application for the long-term recording of action potentials from electrogenic cells makes possible exciting cardiac electrophysiology studies in health and disease. With hundreds of simultaneous electrode recordings being acquired over a period of days, the main challenge becomes achieving reliable signal identification and quantification. <h4>Objective</h4>...

Topics

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• Algorithms
• Electrocardiography
• Genotype
• Long QT Syndrome
• Machine Learning
• Prediction Algorithms
• Signal Processing, Computer-Assisted
• Support Vector Machine

Identifiers and source

Literature Corpus work

0a197c53-cdbd-5bc9-b63f-1bf0316ebfd4

DOI

10.1101/2020.10.21.340968