IEEE Journal of Translational Engineering in Health and Medicine's unique aim is to publish original work in the intersection of engineering and clinical translation. The journal's focus is interdisciplinary collaborations between researchers, healthcare providers, and industry and aims to publish results and best practices from these translational efforts.
Zeinab Golgooni recieved her BS and MS in information technology engineering from Sharif Univ. of Technology, Tehran, Iran, in 2015 and 2017 respectively. Since 2018, she has been a technical consultant at center of strategic planning and resource development at Sharif Univ. of Technology. Her current research interests include using machine learning and deep learning approaches to solve problems in health care and complex networks.
JTEHM, Articles, Published ArticlesDeep Learning Based Proarrhythmia Analysis Using Field Potentials Recorded from Human Pluripotent Stem Cells Derived Cardiomyocytes
Zeinab Golgooni, Sara Mirsadeghi, Mahdieh Soleymani Baghshah, Pedram Ataee, Hossein Baharvand, Sara Pahlavan, Hamid R. Rabiee
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 detect irregular beating rhythm of field potentials recorded from human pluripotent stem... Read more
Posted on 10 APR 2019