In-vitro Archives - IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

April 10, 2019

Deep Learning Based Proarrhythmia Analysis Using Field Potentials Recorded from Human Pluripotent Stem Cells Derived Cardiomyocytes

Author(s)3: Zeinab Golgooni, Sara Mirsadeghi, Mahdieh Soleymani Baghshah, Pedram Ataee, Hossein Baharvand, Sara Pahlavan, Hamid R. Rabiee

Deep Learning Based Proarrhythmia Analysis Using Field Potentials Recorded from Human Pluripotent Stem Cells Derived Cardiomyocytes https://www.embs.org/jtehm/wp-content/uploads/sites/17/2019/04/Deep-Learning-Based-Proarrhythmia-Analysis-Using-Field-Potentials-Recorded-from-Human-Pluripotent-Stem-Cells-Derived-Cardiomyocytes.jpg 780 435 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM) IEEE Journal of Translational Engineering in Health and Medicine (JTEHM) //www.embs.org/jtehm/wp-content/uploads/sites/17/2022/06/ieee-jtehm-logo2x.png April 10, 2019 March 4, 2022

Abstract: An early characterization of drug-induced cardiotoxicity may be possible by combining comprehensive in vitro proarrhythmia assay and deep learning techniques. We aimed to develop a method to automatically…