Electromyographic classification of effort in muscle strength assessment
Author:
Affiliation:
1. D.S. Kothari Postdoctoral Fellow (University Grant Commission) , New Delhi , India
2. Computer Science Engineering Department (CSED), Global College of Engineering and Technology, Khanpur Kui , Ropar , India
Abstract
Publisher
Walter de Gruyter GmbH
Subject
Biomedical Engineering
Reference22 articles.
1. Ahsan MR, Ibrahimy MI, Khalif OO. Electromygraphy (EMG) Signal based Hand Gesture Recognition using Artificial Neural Network (ANN). 4th International Conference on Mechatronics (ICOM), Kuala Lumpur, 2011: 1–6.
2. Arjunan SP, Kumar DK. Decoding subtle forearm flexions using fractal features of surface electromyogram from single and multiple sensors. J Neuro Eng Rehabil 2010; 7: 1–10.
3. Balbinot A, Junior SA, Favieiro WG. Decoding arm movements by myoelectric signal and artificial neural networks. Int Control Autom 2013; 4: 87–93.
4. Castro F, Claudia M. Linear discriminating analysis versus Artificial Neural network as classifiers for elbow angular position recognition purposes. Proceedings of the International Conference on Bio-inspired Systems and Signal Processing, 351–355: 2012.
5. Hariharan M, Fook YC, Sindhu R, Ilias B, Yaacob S. A comparative study of wavelet families for classification of wrist motions. Comp Electr 2012; 38: 1798–1807.
Cited by 5 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. ECG for Cardiovascular Diseases Using Soft Computing Algorithms;Current Signal Transduction Therapy;2022-12
2. Control of transhumeral prostheses based on electromyography pattern recognition: from amputees to deep learning;Powered Prostheses;2020
3. Novel force myography sensor to measure muscle contractions for controlling hand prostheses;Instrumentation Science & Technology;2019-08-21
4. Methodology of surface electromyography in gait analysis: review of the literature;Journal of Medical Engineering & Technology;2019-01-02
5. A novel approach to estimate the upper limb reaching movement in three-dimensional space;Informatics in Medicine Unlocked;2019
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