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.
Andriy Temko (M’05–SM’12) received the Engineering degree in Computer Science in 2002 from Dnipropetrovsk National University, Dnipro, Ukraine and the PhD degree in Telecommunication in 2008 from Universitat Politècnica de Catalunya, Barcelona, Spain. Since late 2008 he has been with the Irish Centre for Fetal and Neonatal Translational Research University College Cork, Ireland. He developed and patented a novel cutting-edge neonatal seizure detection system which has completed European multi-centre clinical trial towards its regulatory approval and clinical adoption. In 2017 he was named as winner of the Kaggle challenge, and a $10,000 first prize, for his work in predicting seizures in the human brain through long-term EEG recordings, organized by National Institute of Health, American Epilepsy Society and Melbourne University. His research interests include acoustic and physiological signal processing, clinical decision support tools, and applications of machine learning for signal processing.
JTEHM, Articles, Published ArticlesTowards a Personalized Real-Time Diagnosis in Neonatal Seizure Detection
Andriy Temko, Achintya Kr. Sarkar, Geraldine B. Boylan, Sean Mathieson, William P. Marnane, Gordon Lightbody
The problem of creating a personalized seizure detection algorithm for newborns is tackled in this paper. A probabilistic framework for semi-supervised adaptation of a generic patient-independent neonatal seizure detector is proposed. A system that is based on a combination of... Read more
Posted on 13 SEP 2017