Dr. Jiss J Nallikuzhy
Jiss J Nallikuzhy is a postdoctoral researcher in the Translational Medical Device Lab at the National University of Ireland, Galway. He has completed his Ph.D. in Electronics and Electrical Engineering from Indian Institute of Technology Guwahati, India. His research was focused on enhancing the spatial resolution of ECG (ECG synthesis) using transform domain models where the spatio-temporal correlations in a twelve-lead ECG signal were exploited using various machine learning techniques. He holds an M.Tech. degree in Signal Processing (College of Engineering Trivandrum, Kerala, India) and B.Tech. degree in Applied Electronics and Instrumentation (Rajagiri School of Engineering & Technology, Kerala, India). He has several publications related to the Spatial Enhancement of ECG and has received the best paper award for his work titled ‘Spatially Enhanced ECG using Patient-Specific Dictionary Learning’ in the 2018 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES 2018). His research interests include Biomedical Signal Processing, Machine learning and Health Informatics.
He is currently working towards the development of a fetal monitoring device (Leanbh TIDA project) to identify intrapartum fetal hypoxia/acidosis for reducing the incidence of preterm and stillbirths, and to prevent high-risk unnecessary obstetric interventions.
Jiss J. Nallikuzhy and S. Dandapat, “Spatial enhancement of ECG using diagnostic similarity score based lead selective multi-scale linear model”, Computers in Biology and Medicine, Elsevier, vol. 85, pp. 53-62, 2017, ISSN 0010-4825.
Jiss J. Nallikuzhy, S. Dandapat and M. K. Bashar, “Spatially Enhanced ECG using Patient-Specific Dictionary Learning,” 2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), Sarawak, Malaysia, 2018, pp. 360-365.
Jiss J. Nallikuzhy and S. Dandapat, “Enhancement of the spatial resolution of ECG using multi-scale Linear Regression”, in 2015 Twenty First National Conference on Communications (NCC), Mumbai, 2015, pp. 1-6.
Jiss J. Nallikuzhy and S. Dandapat, “Projection based approach for super-resolution ECG”, in 2013 IEEE 1st International Conference on Condition Assessment Techniques in Electrical Systems (CATCON), Kolkata, 2013, pp. 270-274.
Jiss J. Nallikuzhy and S. Dandapat, “DCT-Based Linear Regression Approach for 12-Lead ECG Synthesis”, Lecture Notes in Electrical Engineering-Advances in Communication and Computing, Springer, 2015, vol. 347, pp. 211-220.