Recurrent Convolutional Neural Networks as an Approach to Position-Aware Myoelectric Prosthesis Control-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Recurrent Convolutional Neural Networks as an Approach to Position-Aware Myoelectric Prosthesis Control

Published:2022-07 Issue:7 Volume:69 Page:2243-2255
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Williams Heather¹^ORCID,Shehata Ahmed W.²^ORCID,Dawson Michael²,Scheme Erik³^ORCID,Hebert Jacqueline²^ORCID,Pilarski Patrick⁴^ORCID

Affiliation:

1. Department of Biomedical Engineering, Faculty of Engineering, University of Alberta, Canada

2. Department of Medicine, Division of Physical Medicine and Rehabilitation, University of Alberta, Canada

3. Institute of Biomedical Engineering, University of New Brunswick, Canada

4. Division of Physical Medicine and Rehabilitation, Department of Medicine, University of Alberta, Canada

Funder

Natural Science and Engineering Research Council

Alberta Innovates, Alberta Advanced Education

Sensory Motor Adaptive Rehabilitation Technology

Smart Technology (ST) Innovations

University of Alberta

Natural Sciences and Engineering Research Council of Canada

Alberta Machine Intelligence Institute

Canada Research Chairs

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/9799700/09670657.pdf?arnumber=9670657

Reference55 articles.

1. When Less Is More – Discrete Tactile Feedback Dominates Continuous Audio Biofeedback in the Integrated Percept While Controlling a Myoelectric Prosthetic Hand

2. Mechanotactile Sensory Feedback Improves Embodiment of a Prosthetic Hand During Active Use

3. Interpreting Deep Learning Features for Myoelectric Control: A Comparison With Handcrafted Features

4. Deep Learning with Convolutional Neural Networks Applied to Electromyography Data: A Resource for the Classification of Movements for Prosthetic Hands

5. Regression convolutional neural network for improved simultaneous EMG control

Cited by 22 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 geometric algebra-based approach for myoelectric pattern recognition control and faster prosthesis recalibration;Expert Systems with Applications;2024-11

2. Comparing online wrist and forearm EMG-based control using a rhythm game-inspired evaluation environment;Journal of Neural Engineering;2024-08-01

3. Enhanced EMG-Based Hand Gesture Classification in Real-World Scenarios: Mitigating Dynamic Factors With Tempo-Spatial Wavelet Transform and Deep Learning;IEEE Transactions on Medical Robotics and Bionics;2024-08

4. Unravelling Influence Factors in Pattern Recognition Myoelectric Control Systems: The Impact of Limb Positions and Electrode Shifts;Sensors;2024-07-25

5. Weighted Average Confidence Score-based Ensemble Classification to Mitigate the Effect of Time on Myoelectric Control;2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON);2024-06-25

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