A Deep Learning Method for Beat-Level Risk Analysis and Interpretation of Atrial Fibrillation Patients during Sinus Rhythm

1 code implementation • 18 Mar 2024 • Jun Lei, Yuxi Zhou, Xue Tian, Qinghao Zhao, Qi Zhang, Shijia Geng, Qingbo Wu, Shenda Hong

By employing 150 beats for information fusion decision algorithm, the average AUC can reach 0. 7591.

A Review of Deep Learning Methods for Photoplethysmography Data

1 code implementation • 23 Jan 2024 • Guangkun Nie, Jiabao Zhu, Gongzheng Tang, Deyun Zhang, Shijia Geng, Qinghao Zhao, Shenda Hong

In this review, we systematically reviewed papers that applied deep learning models to process PPG data between January 1st of 2017 and July 31st of 2023 from Google Scholar, PubMed and Dimensions.

Human Activity Recognition Photoplethysmography (PPG)

Artificial Intelligence System for Detection and Screening of Cardiac Abnormalities using Electrocardiogram Images

no code implementations • 10 Feb 2023 • Deyun Zhang, Shijia Geng, Yang Zhou, Weilun Xu, Guodong Wei, Kai Wang, Jie Yu, Qiang Zhu, Yongkui Li, Yonghong Zhao, Xingyue Chen, Rui Zhang, Zhaoji Fu, Rongbo Zhou, Yanqi E, Sumei Fan, Qinghao Zhao, Chuandong Cheng, Nan Peng, Liang Zhang, Linlin Zheng, Jianjun Chu, Hongbin Xu, Chen Tan, Jian Liu, Huayue Tao, Tong Liu, Kangyin Chen, Chenyang Jiang, Xingpeng Liu, Shenda Hong

In this study, we present an AI system developed to detect and screen cardiac abnormalities (CAs) from real-world ECG images.