EMCNet: Ensemble Multiscale Convolutional Neural Network for Single-Lead ECG Classification in Wearable Devices-Reference-Cited by-同舟云学术

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EMCNet: Ensemble Multiscale Convolutional Neural Network for Single-Lead ECG Classification in Wearable Devices

Published:2024-03-15 Issue:6 Volume:24 Page:8754-8762
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Chen Junxin¹^ORCID,Fang Bo²^ORCID,Li Haoyue³^ORCID,Zhang Li-Bo⁴^ORCID,Teng Yue⁵^ORCID,Fortino Giancarlo⁶^ORCID

Affiliation:

1. School of Software, Dalian University of Technology, Dalian, China

2. School of Computer Science, University of Sydney, Camperdown, NSW, Australia

3. College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China

4. Department of Radiology, General Hospital of Northern Theater Command, Shenyang, China

5. Emergency Department, General Hospital of Northern Theater Command, Shenyang, China

6. Department of Informatics, Modeling, Electronics and Systems, University of Calabria, Rende, Italy

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Xiaomi Young Talents Program

Prin Common-Wears

Italian Minister of Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10472410/10418865.pdf?arnumber=10418865

Reference41 articles.

1. Wearable Body Sensor Networks: State-of-the-Art and Research Directions

2. Agent-based Internet of Things: State-of-the-art and research challenges

3. Compressed Sensing Framework for Heart Sound Acquisition in Internet of Medical Things

4. Novel DERMA Fusion Technique for ECG Heartbeat Classification

5. Multi-Agent Systems in Fog–Cloud Computing for Critical Healthcare Task Management Model (CHTM) Used for ECG Monitoring

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