SRECG: ECG Signal Super-Resolution Framework for Portable/Wearable Devices in Cardiac Arrhythmias Classification-Reference-Cited by-同舟云学术

SRECG: ECG Signal Super-Resolution Framework for Portable/Wearable Devices in Cardiac Arrhythmias Classification

Published:2023-08 Issue:3 Volume:69 Page:250-260
ISSN:0098-3063
Container-title:IEEE Transactions on Consumer Electronics
language:
Short-container-title:IEEE Trans. Consumer Electron.

Author:

Chen Tsai-Min¹^ORCID,Tsai Yuan-Hong²,Tseng Huan-Hsin³^ORCID,Liu Kai-Chun³^ORCID,Chen Jhih-Yu⁴,Huang Chih-Han⁵^ORCID,Li Guo-Yuan²,Shen Chun-Yen¹,Tsao Yu¹^ORCID

Affiliation:

1. Graduate Program of Data Science, National Taiwan University and Academia Sinica, Taipei, Taiwan

2. Program of Taiwan AI Academy, Taiwan Artificial Intelligence Academy Foundation, New Taipei, Taiwan

3. Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan

4. Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan

5. Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan

Funder

National Science and Technology Council, Taiwan

Academia Sinica

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/30/10221725/10018428.pdf?arnumber=10018428

Reference90 articles.

1. Hierarchical Attention Networks for Document Classification

2. iKardo: An Intelligent ECG Device for Automatic Critical Beat Identification for Smart Healthcare

3. The impact of the MIT-BIH Arrhythmia Database

4. Compressing and Filtering Medical Data in a Low Cost Health Monitoring System

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