A CNN-Transformer-Based Multimodal Model for Cardiac Abnormal Signal Detection-Reference-Cited by-同舟云学术

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A CNN-Transformer-Based Multimodal Model for Cardiac Abnormal Signal Detection

Published:2023-12-15 Issue: Volume: Page:466-471
ISSN:
Container-title:2023 International Conference on Neuromorphic Computing (ICNC)
language:
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Author:

Chang Yuhan¹,Xiang Muchao²,Ling Zaixun²,Liu Qine³,Liu Dan⁴,Lian Cheng¹

Affiliation:

1. Wuhan University of Technology,School of Automation,Wuhan,China,430000

2. State Grid Hubei Electric Power Research Institute,Wuhan,China,430000

3. State Grid Xiangyang Power Supply Company,Xiangyang,China,441000

4. North University of China,School of Instrument and Electronics,Taiyuan,China,030000

Funder

State Grid Hubei Electric Power Co

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10462644/10462727/10462741.pdf?arnumber=10462741

Reference28 articles.

1. Deep learning

2. ECG Signal Classification Using Deep Learning Techniques Based on the PTB-XL Dataset

3. Automated Atrial Fibrillation Detection using a Hybrid CNN-LSTM Network on Imbalanced ECG Datasets

4. Inter- and Intra- Patient ECG Heartbeat Classification for Arrhythmia Detection: A Sequence to Sequence Deep Learning Approach

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