A System for Real-Time Estimation of Joint Torque with Evoked EMG under Electrical Stimulation

被引：2
作者：
Li, Zhan [1 ]
Hayashibe, Mitsuhiro
Andreu, David
Guiraud, David
机构：
[1] Univ Montpellier 2, INRIA DEMAR Team, Montpellier, France
来源：
REPLACE, REPAIR, RESTORE, RELIEVE - BRIDGING CLINICAL AND ENGINEERING SOLUTIONS IN NEUROREHABILITATION | 2014年 / 7卷
关键词：
RECURRENT NEURAL-NETWORK; FATIGUE; MUSCLE;
D O I：
10.1007/978-3-319-08072-7_76
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Functional electrical stimulation (FES) is a useful rehabilitation technique for restoring motor capability of spinal cord injured (SCI) patients by artificially driving muscle contractions. Real-time FES systems with online modulation ability are in great need for clinical applications. In this work, a system for real-time estimation of joint torque with evoked electromyography (eEMG) is presented. Kalman filter (KF) is adopted and embedded into the system as the online torque estimator. The real-time estimation system would be promising toward FES control with consideration of torque changes caused by muscle fatigue.
引用
收藏
页码：513 / 520
页数：8
相关论文
共 50 条
  • [21] Study of Intelligent Bio-feedback Therapy System Based on Transcutaneous Electrical Nerve Stimulation and Surface EMG Signals
    Zeng, DeWen
    Hui, Youpan
    He, Qing
    Leng, Bin
    Wang, HaiBin
    Zou, Hehui
    Wu, Wenkai
    2013 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (ICIA), 2013, : 374 - 378
  • [22] Smartphone-based drowsiness detection system for drivers in real-time
    Chatterjee, Iman
    Roy, Sarbani
    13TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED NETWORKS AND TELECOMMUNICATION SYSTEMS (IEEE ANTS), 2019,
  • [23] Real-Time EMG Decomposition Across Neural Excitation Levels Using Dual Self-Attention Residual Network
    Li, Yixin
    Xu, Guanghua
    Zhang, Kai
    Wang, Gang
    Zheng, Yang
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2025, 74
  • [24] Real-Time State Estimation Using Recurrent Neural Network and Topological Data Analysis
    Razmarashooli, Arman
    Martinez, Daniel A. Salazar
    Chua, Yang Kang
    Laflamme, Simon
    Hu, Chao
    NONDESTRUCTIVE CHARACTERIZATION AND MONITORING OF ADVANCED MATERIALS, AEROSPACE, CIVIL INFRASTRUCTURE, AND TRANSPORTATION XVIII, 2024, 12950
  • [25] Estimation of Driver Vigilance Status Using Real-Time Facial Expression and Deep Learning
    Tamanani, Reza
    Muresan, Radu
    Al-Dweik, Arafat
    IEEE SENSORS LETTERS, 2021, 5 (05)
  • [26] Real-Time Driver-Drowsiness Detection System Using Facial Features
    Deng, Wanghua
    Wu, Ruoxue
    IEEE ACCESS, 2019, 7 : 118727 - 118738
  • [27] Development and Application of the Power Plant Real-Time Temperature and Stress Monitoring System
    Duda, Piotr
    SCIENCE AND TECHNOLOGY OF NUCLEAR INSTALLATIONS, 2017, 2017
  • [28] Development and sea trial of real-time offshore pipeline installation monitoring system
    Wang, Facheng
    Chen, Juan
    Gao, Shuang
    Tang, Ke
    Meng, Xiangwei
    OCEAN ENGINEERING, 2017, 146 : 468 - 476
  • [29] Real-Time Monitoring of Underground Miners' Status Based on Mine IoT System
    Jiang, Yufeng
    Chen, Wei
    Zhang, Xue
    Zhang, Xuejun
    Yang, Guowei
    SENSORS, 2024, 24 (03)
  • [30] Real-Time CNN-Based Driver Distraction & Drowsiness Detection System
    Almazroi, Abdulwahab Ali
    Alqarni, Mohammed A.
    Aslam, Nida
    Shah, Rizwan Ali
    INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2023, 37 (02) : 2153 - 2174
12345