A Transformer-Based Multi-Task Learning Framework for Myoelectric Pattern Recognition Supporting Muscle Force Estimation-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A Transformer-Based Multi-Task Learning Framework for Myoelectric Pattern Recognition Supporting Muscle Force Estimation

Published:2023 Issue: Volume:31 Page:3255-3264
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Li Xinhui¹,Zhang Xu¹^ORCID,Zhang Liwei²,Chen Xiang¹^ORCID,Zhou Ping³^ORCID

Affiliation:

1. School of Microelectronics, University of Science and Technology of China, Hefei, China

2. First Affiliated Hospital, University of Science and Technology of China, Hefei, China

3. Department of Biomedical and Rehabilitation Engineering, University of Health and Rehabilitation Sciences, Qingdao, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

http://xplorestaging.ieee.org/ielx7/7333/10031624/10194336.pdf?arnumber=10194336

Reference41 articles.

1. To Explore the Potentials of Independent Component Analysis in Brain-Computer Interface of Motor Imagery

2. Transformer Fault Prognosis Using Deep Recurrent Neural Network Over Vibration Signals

3. Support Vector Machine-Based Classification Scheme for Myoelectric Control Applied to Upper Limb

4. Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development

5. A Comparison of Surface and Intramuscular Myoelectric Signal Classification

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A federated transfer learning approach for surface electromyographic hand gesture recognition with emphasis on privacy preservation;Engineering Applications of Artificial Intelligence;2024-10

2. Towards Efficient Neural Decoder for Dexterous Finger Force Predictions;IEEE Transactions on Biomedical Engineering;2024-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3