ECGGAN: A Framework for Effective and Interpretable Electrocardiogram Anomaly Detection-Reference-Cited by-同舟云学术

ECGGAN: A Framework for Effective and Interpretable Electrocardiogram Anomaly Detection

Published:2023-08-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Wang Huazhang¹^ORCID,Luo Zhaojing²^ORCID,Yip James W.L.³^ORCID,Ye Chuyang¹^ORCID,Zhang Meihui¹^ORCID

Affiliation:

1. Beijing Institute of Technology, Beijing, China

2. National University of Singapore, Singapore, Singapore

3. National University Heart Centre, Singapore, Singapore

Funder

Singapore Ministry of Education Academic Research Fund Tier 3

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599812

Reference76 articles.

1. AIWIN 2021. AIWIN (Autumn) ? ECG Intelligent Diagnosis Competition by SID Medical and Fudan University Zhongshan Hospital. http://ailab.aiwin.org.cn/ competitions/64#learn_the_details AIWIN 2021. AIWIN (Autumn) ? ECG Intelligent Diagnosis Competition by SID Medical and Fudan University Zhongshan Hospital. http://ailab.aiwin.org.cn/ competitions/64#learn_the_details

2. Samet Akcay , Amir Atapour-Abarghouei , and Toby P Breckon . 2018 . Ganomaly: Semi-supervised anomaly detection via adversarial training . In Asian conference on computer vision. Springer, 622--637 . Samet Akcay, Amir Atapour-Abarghouei, and Toby P Breckon. 2018. Ganomaly: Semi-supervised anomaly detection via adversarial training. In Asian conference on computer vision. Springer, 622--637.

3. Deep learning approach for active classification of electrocardiogram signals

4. Erick A Perez Alday , Annie Gu , Amit J Shah , Chad Robichaux , An-Kwok Ian Wong , Chengyu Liu, Feifei Liu, Ali Bahrami Rad, Andoni Elola, Salman Seyedi, et al. 2020 . Classification of 12-lead ecgs: the physionet/computing in cardiology challenge 2020. Physiological measurement , Vol. 41, 12 (2020), 124003. Erick A Perez Alday, Annie Gu, Amit J Shah, Chad Robichaux, An-Kwok Ian Wong, Chengyu Liu, Feifei Liu, Ali Bahrami Rad, Andoni Elola, Salman Seyedi, et al. 2020. Classification of 12-lead ecgs: the physionet/computing in cardiology challenge 2020. Physiological measurement , Vol. 41, 12 (2020), 124003.

5. Subhi J Al'Aref , Khalil Anchouche , Gurpreet Singh , Piotr J Slomka , Kranthi K Kolli , Amit Kumar , Mohit Pandey , Gabriel Maliakal , Alexander R Van Rosendael , Ashley N Beecy, et al. 2019 . Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging. European heart journal, Vol. 40 , 24 (2019), 1975--1986. Subhi J Al'Aref, Khalil Anchouche, Gurpreet Singh, Piotr J Slomka, Kranthi K Kolli, Amit Kumar, Mohit Pandey, Gabriel Maliakal, Alexander R Van Rosendael, Ashley N Beecy, et al. 2019. Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging. European heart journal, Vol. 40, 24 (2019), 1975--1986.