A Novel Event-Driven Spiking Convolutional Neural Network for Electromyography Pattern Recognition
Author:
Affiliation:
1. Department of Electronic Science and Technology, University of Science and Technology of China, China
2. Department of Electronic Science and Technology, University of Science and Technology of China, Hefei, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering
Link
http://xplorestaging.ieee.org/ielx7/10/10235284/10075518.pdf?arnumber=10075518
Reference56 articles.
1. Deep Learning with Convolutional Neural Networks Applied to Electromyography Data: A Resource for the Classification of Movements for Prosthetic Hands
2. Continuous Myoelectric Control for Powered Prostheses Using Hidden Markov Models
3. Towards artificial general intelligence with hybrid Tianjic chip architecture
4. Chinese Sign Language Recognition Based on an Optimized Tree-Structure Framework
5. Exploration of Chinese Sign Language Recognition Using Wearable Sensors Based on Deep Belief Net
Cited by 6 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. motorSRNN: A spiking recurrent neural network inspired by brain topology for the effective and efficient decoding of cortical spike trains;Biomedical Signal Processing and Control;2025-01
2. A survey on hand gesture recognition based on surface electromyography: Fundamentals, methods, applications, challenges and future trends;Applied Soft Computing;2024-11
3. Real-Time Prediction of Elbow Motion Through sEMG-Based Hybrid BP-LSTM Network;Journal of Shanghai Jiaotong University (Science);2024-07-24
4. Spiking neural networks for biomedical signal analysis;Biomedical Engineering Letters;2024-07-05
5. Exploring the potential of spiking neural networks in biomedical applications: advantages, limitations, and future perspectives;Biomedical Engineering Letters;2024-06-20
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