11:45 a.m. - 1 p.m. Location: ECSS 3.503
Please join the Computer Engineering program for a Summer CE Colloquium. Vignesh Kalidas, PhD CE Candidate (Advisor: Dr. Lakshman Tamil) will be our speaker. Tuesday, July 18, 2017, ECSS 3.503, 12pm-1pm. Please join us early at 11:45am for pizza. First come, first served.
Mr. Kalidas will be speaking on "Cardiac Arrhythmia Classification using Multi-modal Signal Analysis."
Abstract: In this talk, I'll be explaining the research carried out in the QoLT Lab for classifying various life-threatening cardiac arrythmia using multi-modal signal analysis. The talk will focus on six specific arrhythmia, namely, Extreme Bradycardia, Extreme Tachycardia, Asystole, Ventricular Tachycardia, Ventricular Fibrillation and Atrial Fibrillation. I'll explain the different feature vectors and machine learning techniques used in the classification of each class of arrhythmia.
Bio: I'm currently pursuing my PhD in the Computer Engineering program at UT Dallas. I received my MS degree in Computer Engineering from UT Dallas in 2013. Presently I am working as a research student in the Quality of Life Technology(QoLT) Lab under Dr. Lakshman Tamil. I am also employed as a Teaching Assistant in the EE program at UT Dallas. Previously I worked as an Embedded Software developer at Samsung Semiconductor Inc., California in 2012 and 2014. My research interests focus on applied machine learning techniques for biomedical signal processing, with emphasis on detecting various cardiac arrhythmias using features derived from ECG signals.