学术讲座：CombiningDigital signal processing and computer modeling and simulation in cardiacarrhythmia studies
讲座题目:CombiningDigital signal processing and computer modeling and simulation in cardiacarrhythmia studies
主讲人: Dr.JesúsRequena-Carrión ——英国伦敦玛丽女王大学
时间: 2017年11月17日（周五）上午10:00--11:30
地点:西土城校区教三楼537
讲座内容:心脏作为一个复杂的生物系统，我们从未停止对其结构、动力、心律等方面的探究。早在心脏电生理学创立之初，信号处理、建模仿真（亦或称为思想实验）在某种程度或形式上被结合起来用于心律理解和研究。在信息及互联网时代，计算能力的增强、计算资源的丰富，极大地促进了数字信号处理、计算机建模与仿真技术在临床诊断、预防和治疗等各项任务中的应用。
本次讲座，Jesús Requena-Carrión博士将介绍课题组在这方面的研究，特别是数字信号处理、计算机建模仿真融合技术应用于房颤性心律异常方面的最新成果。
该讲座为前沿讲座，欢迎全校师生踊跃参加。
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Short Bio ofDr. Jesús Requena-Carrión:
JesúsRequena-Carrión received the B.Sc. and M.Sc. degrees in telecommunicationsengineering and the Ph.D. degree from the Carlos IIIUniversity of Madrid, Spain, in 2003 and 2008,respectively. From 2009 to 2014, he was a Lecturer with Rey Juan CarlosUniversity, Madrid, Spain, and in 2014, he joined the School of ElectronicsEngineering and Computer Science, Queen Mary University of London. He iscurrently a Lecturer with the Queen Mary University of London, London, U.K.,and the Deputy Director of the Joint Innovation Centre between the Queen MaryUniversity of London and the Beijing University of Posts andTelecommunications, Beijing, China. Hismain research interests include statistical signal processing and computermodeling and simulation of biological systems and biomedical measurements.
Brief introductionof this talk:
The heart is acomplex biological system whose dynamics, the cardiac rhythms, never cease tofascinate us. Since the very beginning of cardiacelectrophysiology, some form of signalprocessing, modeling and simulation (the so-called thought experiments) havebeen combined forunderstandingcardiac rhythms. Nowadays, the availability of computing power has led to thedevelopment of digital signal processing and computer modelling and simulationtechniques for common clinical tasks such as diagnosis, prevention andtreatment.
In this talk,I will discuss my work in combining digital signal processing and computersimulation techniques for understanding cardiac rhythms. Specifically, I willfocus on an abnormal cardiac rhythm called fibrillation, whose mechanismsremain to date poorly understood.
