Research on entropy of incremental fuzzy entropy representation model for lower limb fatigue based on sEMG

被引:0
|
作者
Shi, Xin [1 ]
Yu, Keqi [1 ]
Ao, Yumin [1 ]
Qin, Pengjie [2 ]
Zhang, Jieyi [3 ]
机构
[1] School of Automation, Chongqing University, Chongqing,400044, China
[2] Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen,518055, China
[3] Sichuan Electric Vocation and Technical College, Chengdu,611133, China
关键词
Collaborative robots - Image coding - Motion compensation;
D O I
10.19650/j.cnki.cjsi.J2412468
中图分类号
学科分类号
摘要
引用
收藏
页码:271 / 280
相关论文
共 50 条
  • [1] Research on Mine Safety Fuzzy Evaluation Model Based on Information Entropy
    Chen Zuyun
    Zhou Lingjian
    Wu Changfu
    Yang Shengqiang
    2010 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND SAFETY ENGINEERING (MSSE 2010), VOLS I AND II, 2010, : 539 - 542
  • [2] sEMG Signal-Based Lower Limb Movements Recognition Using Tunable Q-Factor Wavelet Transform and Kraskov Entropy
    Wei, C.
    Wang, H.
    Zhou, B.
    Feng, N.
    Hu, F.
    Lu, Y.
    Jiang, D.
    Wang, Z.
    IRBM, 2023, 44 (04)
  • [3] Research on Lower Limb Motion Recognition Based on Fusion of sEMG and Accelerometer Signals
    Ai, Qingsong
    Zhang, Yanan
    Qi, Weili
    Liu, Quan
    Chen, Kun
    SYMMETRY-BASEL, 2017, 9 (08):
  • [4] Research On The Risk Entropy Model Of Water Supply Systems Based On Entropy Theory
    LU Ren-qiang
    ADVANCES IN ENVIRONMENTAL TECHNOLOGIES, PTS 1-6, 2013, 726-731 : 3089 - 3093
  • [5] A Quantifiable Muscle Fatigue Method Based on sEMG during Dynamic Contractions for Lower Limb Exoskeleton
    Duan, Shengcai
    Wang, Can
    Li, Yuxiao
    Zhang, Lufeng
    Yuan, Ye
    Wu, Xinyu
    2020 IEEE INTERNATIONAL CONFERENCE ON REAL-TIME COMPUTING AND ROBOTICS (IEEE-RCAR 2020), 2020, : 20 - 25
  • [6] Analysis of Biceps Brachii sEMG signal using Multiscale Fuzzy Approximate Entropy
    Navaneethakrishna, M.
    Karthick, P. A.
    Ramakrishnan, S.
    2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2015, : 7881 - 7884
  • [7] A research on an improved fuzzy approximate entropy algorithm for EMG-based shoulder and neck muscle fatigue detection
    Hou Y.
    Shang S.
    Cao S.
    Liu Z.
    Journal of Intelligent and Fuzzy Systems, 2024, 46 (04): : 8049 - 8063
  • [8] Joint torque prediction of lower limb of sEMG signals based on improved cerebellar model
    Jiang, Haiyan
    Li, Zhuyun
    Chen, Yan
    Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2022, 43 (11): : 172 - 180
  • [9] Research on Cost-Benefit Evaluation Model of Social Security Project Based on Fuzzy Entropy
    Jiang, Yi-huo
    Jiang, Wen-bing
    Ni, Hong-liang
    ADVANCED HYBRID INFORMATION PROCESSING, PT I, 2022, 416 : 517 - 532
  • [10] The Analysis of Pedestrian's Motion State Based on the Entropy of sEMG
    Li, Min
    Zhao, Long
    CHINA SATELLITE NAVIGATION CONFERENCE (CSNC) 2016 PROCEEDINGS, VOL I, 2016, 388 : 287 - 297