Classifying Lower Extremity Muscle Fatigue During Walking Using Machine Learning and Inertial Sensors
Author:
Publisher
Springer Science and Business Media LLC
Subject
Biomedical Engineering
Link
http://link.springer.com/content/pdf/10.1007/s10439-013-0917-0.pdf
Reference56 articles.
1. Aune, A. K., L. Nordsletten, S. Skjeldal, J. E. Madsen, and A. Ekeland. Hamstrings and gastrocnemius co-contraction protects the anterior cruciate ligament against failure: an in vivo study in the rat. J. Orthop. Res. 13:147–150, 1995.
2. Baratta, R., M. Solomonow, B. H. Zhou, D. Letson, R. Chuinard, and R. D’Ambrosia. Muscular coactivation. The role of the antagonist musculature in maintaining knee stability. Am. J. Sports Med. 16:113–122, 1988.
3. Barth, A. T., M. A. Hanson, H. C. Powell Jr., and J. Lach. TEMPO 3.1: A Body Area Sensor Network Platform for Continuous Movement Assessment, pp. 71–76, 2009.
4. Barton, J. G., and A. Lees. An application of neural networks for distinguishing gait patterns on the basis of hip-knee joint angle diagrams. Gait Posture 5:28–33, 1997.
5. Begg, R., and J. Kamruzzaman. A machine learning approach for automated recognition of movement patterns using basic, kinetic and kinematic gait data. J. Biomech. 38:401–408, 2005.
Cited by 110 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. Assessing and Enhancing Movement Quality Using Wearables and Consumer Technologies: Thematic Analysis of Expert Perspectives;JMIR Formative Research;2024-09-13
2. Classification of gait variation under mental workload in big five personalities;Gait & Posture;2024-09
3. Automatic Detection of Fatigued Gait Patterns in Older Adults: An Intelligent Portable Device Integrating Force and Inertial Measurements with Machine Learning;Annals of Biomedical Engineering;2024-08-13
4. Predicting Perceived Back Fatigue During Exoskeleton Supported Trunk Bending Tasks using Machine Learning;Proceedings of the Human Factors and Ergonomics Society Annual Meeting;2024-08-10
5. Evaluation of walking activity and gait to identify physical and mental fatigue in neurodegenerative and immune disorders: preliminary insights from the IDEA-FAST feasibility study;Journal of NeuroEngineering and Rehabilitation;2024-06-05
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