Automatic Identification and Location of Paroxysmal Atrial Fibrillation Based on Single Heartbeat from Dynamic Electrocardiogram-Reference-Cited by-同舟云学术

Automatic Identification and Location of Paroxysmal Atrial Fibrillation Based on Single Heartbeat from Dynamic Electrocardiogram

Published:2023-03-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 9th International Conference on Computing and Artificial Intelligence
language:
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Author:

Zhang Bailing¹^ORCID,Wang Shaochang¹^ORCID,Xin Yi¹^ORCID,Zhao Ying²^ORCID

Affiliation:

1. School of Life Science, Beijing Institute of Technology, China

2. Department of Cardiology, Beijing Jishuitan Hospital, The Fourth Medical Clinical Hospital of Peking University, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3594315.3594380

Reference24 articles.

1. Shaobo Shi Yanhong Tang Qingyan Zhao Hong Yan Bin Yu Qiangsun Zheng Yigang Li Liangrong Zheng Yiqiang Yuan Jingquan Zhong and others. 2022. Prevalence and risk of atrial fibrillation in China: a national cross-sectional epidemiological study. The Lancet Regional Health–Western Pacific 23 (2022). Shaobo Shi Yanhong Tang Qingyan Zhao Hong Yan Bin Yu Qiangsun Zheng Yigang Li Liangrong Zheng Yiqiang Yuan Jingquan Zhong and others. 2022. Prevalence and risk of atrial fibrillation in China: a national cross-sectional epidemiological study. The Lancet Regional Health–Western Pacific 23 (2022).

2. Population-Based Screening or Targeted Screening Based on Initial Clinical Risk Assessment for Atrial Fibrillation: A Report from the Huawei Heart Study

3. Jocasta Ball , Melinda J Carrington , John JV McMurray, and Simon Stewart . 2013 . Atrial fibrillation: profile and burden of an evolving epidemic in the 21st century. International journal of cardiology 167, 5 (2013), 1807–1824. Jocasta Ball, Melinda J Carrington, John JV McMurray, and Simon Stewart. 2013. Atrial fibrillation: profile and burden of an evolving epidemic in the 21st century. International journal of cardiology 167, 5 (2013), 1807–1824.

4. Elias Ebrahimzadeh , Maede Kalantari , Mohammadamin Joulani , Reza Shahrokhi Shahraki , Farahnaz Fayaz, and Fereshteh Ahmadi. 2018 . Prediction of paroxysmal Atrial Fibrillation : A machine learning based approach using combined feature vector and mixture of expert classification on HRV signal. Computer methods and programs in biomedicine 165, (2018), 53–67. Elias Ebrahimzadeh, Maede Kalantari, Mohammadamin Joulani, Reza Shahrokhi Shahraki, Farahnaz Fayaz, and Fereshteh Ahmadi. 2018. Prediction of paroxysmal Atrial Fibrillation: A machine learning based approach using combined feature vector and mixture of expert classification on HRV signal. Computer methods and programs in biomedicine 165, (2018), 53–67.

5. Nadi Sadr , Madhuka Jayawardhana , Thuy T Pham , Rui Tang , Asghar Tabatabaei Balaei, and Philip de Chazal . 2018 . A low-complexity algorithm for detection of atrial fibrillation using an ECG. Physiological measurement 39, 6 (2018), 064003. Nadi Sadr, Madhuka Jayawardhana, Thuy T Pham, Rui Tang, Asghar Tabatabaei Balaei, and Philip de Chazal. 2018. A low-complexity algorithm for detection of atrial fibrillation using an ECG. Physiological measurement 39, 6 (2018), 064003.