Prof. Yue Rong
Curtin University, Australia
Application of signal processing and machine learning in cardiac health monitoring
The advancement of artificial intelligence (AI) has significantly changed the paradigm of biomedical engineering in recent years. In this talk, we present a non-invasive technique for cardiovascular diseases pre-screening using AI-augmented multi-channel phonocardiography (PCG) and electrocardiography (ECG). After a brief overview of the state-of-the-art in PCG, we discuss key steps of the multichannel PCG system including heart sound signal acquisition, PCG signal processing, machine learning and deep learning based PCG signal classification. Our recent results will be demonstrated. Hope this talk can attract researchers and engineers to work in this interdisciplinary area.
Biography
Yue Rong received the Ph.D. degree (summa cum laude) in electrical engineering from Darmstadt University of Technology, Darmstadt, Germany, in 2005. He was a Postdoctoral Researcher with the Department of Electrical Engineering, University of California at Riverside, Riverside, CA, USA, from February 2006 to November 2007. Since December 2007, he has been with Curtin University, Bentley, WA, Australia, where he is currently a Professor. His research interests include signal processing for communications, machine learning, speech recognition, and biomedical engineering. He has published over 200 journal and conference papers in these areas. Prof. Rong was a Senior Area Editor of the IEEE Transactions on Signal Processing from 2020 to 2024, and an Associate Editor of this journal from 2014 to 2018. He was an Editor of the IEEE Wireless Communications Letters from 2012 to 2014 and a Guest Editor of the IEEE Journal on Selected Areas in Communications.