Comparison of two Models Used to Describe the Ankle Torque in Response to Functional Electrical Stimulation

被引:0
|
作者
Li, Yingqi [1 ]
Zheng, Manxu [1 ]
Yang, Qianqian [1 ]
Song, Rong [1 ]
机构
[1] Sun Yat Sen Univ, Sch Biomed Engn, Guangzhou, Guangdong, Peoples R China
来源
2019 IEEE 4TH INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND MECHATRONICS (ICARM 2019) | 2019年
关键词
D O I
10.1109/icarm.2019.8834236
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Modeling the response of the electrically stimulated muscle is an essential step during control system design with a functional electrical stimulator. A Hammerstein model, which consists of a static nonlinear block and a linear dynamic block, is widely used in related works. In this paper, the static nonlinear block represented by a polynomial expansion or a sigmoid function of the Hammerstein model structure was applied. Therefore, our study aimed at comparing the prediction accuracy of the two models under muscle isometric contraction condition. The right ankle joint of a healthy subject was fixed at 90 and surface electrical stimulation electrodes were placed at the right tibialis anterior muscle. The stimulation amplitude was modulated with two candidate test signals, i.e., the triangular signal and the staircase signal. Then, the stimulation amplitude was the model input and the measured ankle torque was the model output. An index, namely the best fit rate, was used to assess the performance of the two models. The validation results of the polynomial Hammerstein model (PHM) and the sigmoid Hammerstein model (SLIM) were 76.84% and 77.53%, respectively. Besides, the cross-validation results of the PIIM and the SIIM were 73.36% and 75.9%, respectively. Above all, the results showed that the model with the sigmoid function performs slightly better in the model simulation and prediction.
引用
收藏
页码:894 / 898
页数:5
相关论文
共 50 条
  • [1] Modeling Ankle Torque and Stiffness Induced by Functional Electrical Stimulation
    Li, Yingqi
    Jiang, Chao
    Zheng, Manxu
    Wang, Xiaoyun
    Song, Rong
    IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2020, 28 (12) : 3013 - 3021
  • [2] Comparison of functional electrical stimulation (FES) and ankle foot orthosis (AFOs) in stroke
    Street, T.
    Swain, I
    Taylor, P.
    INTERNATIONAL JOURNAL OF STROKE, 2015, 10 : 7 - 8
  • [3] A comparison between ankle assisted orthotics and Functional Electrical Stimulation: a feasibility study
    Street, T.
    Swain, I.
    Taylor, P.
    MULTIPLE SCLEROSIS JOURNAL, 2014, 20 (07) : 1001 - 1001
  • [4] Isometrical ankle torque in direct L5 root electrical stimulation
    Bosnjak, R
    Kralj, A
    Dolenc, VV
    11TH INTERNATIONAL CONGRESS OF NEUROLOGICAL SURGERY, VOLS 1 AND 2, 1997, : 1921 - 1925
  • [5] An Impedance Control of Human Ankle Joint using Functional Electrical Stimulation
    Kim, Junyoung
    Kim, Jonghyun
    2018 7TH IEEE INTERNATIONAL CONFERENCE ON BIOMEDICAL ROBOTICS AND BIOMECHATRONICS (BIOROB2018), 2018, : 1230 - 1235
  • [6] Position and Torque Control via Rehabilitation Robot and Functional Electrical Stimulation
    Cousin, Christian A.
    Rouse, Courtney A.
    Duenas, Victor H.
    Dixon, Warren E.
    2017 INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS (ICORR), 2017, : 38 - 43
  • [7] ELECTRODE COMPARISON IN FUNCTIONAL ELECTRICAL-STIMULATION
    NELSON, HE
    SMITH, MB
    WATERS, RL
    BOWMAN, B
    ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION, 1977, 58 (11): : 519 - 519
  • [8] Smoothly Switched Adaptive Torque Tracking for Functional Electrical Stimulation Cycling
    Aldrich, Jace B.
    Cousin, Christian A.
    IEEE CONTROL SYSTEMS LETTERS, 2022, 6 : 866 - 871
  • [9] Bilateral Control Using Functional Electrical Stimulation with Reaction Torque Observer
    Kitamura, Tomoya
    Mizukami, Naoto
    Sakaino, Sho
    Tsuji, Toshiaki
    2016 IEEE 14TH INTERNATIONAL WORKSHOP ON ADVANCED MOTION CONTROL (AMC), 2016, : 160 - 166
  • [10] Identification of ankle plantar-flexors dynamics in response to electrical stimulation
    Rouhani, Hossein
    Popovic, Milos R.
    Same, Michael
    Li, Ya Qi
    Masani, Kei
    MEDICAL ENGINEERING & PHYSICS, 2016, 38 (11) : 1166 - 1171