Dr. Peng Zhang

Huazhong University of Science and Technology

 

Peng Zhang received the B.S. degree in biomedical engineering and the Ph.D. degree in control science and engineering from Huazhong University of Science and Technology, Wuhan, China, in 2011 and 2018, respectively. He joined Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, as a post-doctoral fellow in 2018. His research areas include intracortical brain-machine interface, biomedical signal analysis, and deep learning. He has published 25 SCI papers in high-level journals such as Med, Nature Chemistry, and IEEE Trans. He also authored a chapter in the book "Neural Interface: Frontiers and Applications" and applied for 16 patents (8 granted and one patent transformation with 1.27 million).

Speech title: “Automatic Detection and Risk Prediction of Atrial Fibrillation”

Abstract: Atrial fibrillation is the most common arrhythmia in the general population, and can lead to dangerous complications. Effective automatic detection and risk prediction of atrial fibrillation are crucial for its prevention and treatment. This presentation will first introduce the research on atrial fibrillation detection, which involves developing a deep learning-based AI algorithm to accurately and automatically detect atrial fibrillation episodes from clinical 24-hour Holter ECG data. Subsequently, the presentation will present the research on atrial fibrillation risk prediction, where a deep learning-based AI algorithm is developed to effectively predict individual atrial fibrillation risks using only heartbeat information during sinus rhythm. Both studies have undergone comprehensive performance evaluations on large-scale real-world clinical datasets. Additionally, the presentation will explore how clinicians can utilize these AI tools to enhance their atrial fibrillation detection and risk prediction capabilities in real clinical practice.