Learning EEG Representations With Weighted Convolutional Siamese Network: A Large Multi-Session Post-Stroke Rehabilitation Study-Reference-Cited by-同舟云学术

Learning EEG Representations With Weighted Convolutional Siamese Network: A Large Multi-Session Post-Stroke Rehabilitation Study

Published:2022 Issue: Volume:30 Page:2824-2833
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Zhang Shuailei¹^ORCID,Ang Kai Keng²^ORCID,Zheng Dezhi³^ORCID,Hui Qianxin¹,Chen Xinlei⁴^ORCID,Li Yang⁴,Tang Ning⁵^ORCID,Chew Effie⁵,Lim Rosary Yuting²^ORCID,Guan Cuntai⁶^ORCID

Affiliation:

1. School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China

2. Agency for Science, Technology and Research, Institute for Infocomm Research, Fusionopolis, Singapore

3. Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Instrumentation and Optoelectronic Engineering, Research Institute for Frontier Science, Beihang University, Beijing, China

4. Shenzhen International Graduate School, Tsinghua University, Beijing, China

5. Department of Medicine, Division of Rehabilitation Medicine, National University Hospital, Lower Kent Ridge Rd, Singapore

6. School of Computer Science and Engineering, Nanyang Technological University, nanyang, Singapore

Funder

A*STAR RIE2020 AME Progammatic Fund

National Natural Science Foundation of China

China Scholarship Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

http://xplorestaging.ieee.org/ielx7/7333/9695946/09903075.pdf?arnumber=9903075

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