Closed-loop control of ankle position using muscle afferent feedback with functional neuromuscular stimulation

被引:88
|
作者
Yoshida, K [1 ]
Horch, K [1 ]
机构
[1] UNIV UTAH,DEPT BIOENGN,SALT LAKE CITY,UT 84112
基金
美国国家卫生研究院;
关键词
D O I
10.1109/10.481986
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
This paper describes a closed-loop functional neuromuscular stimulation system that uses afferent neural activity from muscle spindle fibers as feedback for controlling position of the ankle joint, Ankle extension against a load was effected by neural stimulation through a dual channel intrafascicular electrode of a fascicle of the tibial nerve that innervated the gastrocnemius muscle, Ankle joint angle was estimated from recordings of tibialis anterior and lateral gastrocnemius spindle fiber activity made with dual channel intrafascicular electrodes. Experiments were conducted in neurally intact anesthetized cats and in unanesthetized decerebrate cats to demonstrate the feasibility of this system, The system was able to reach and maintain a fixed target ankle position in the presence of a varying external moment ranging in magnitude between 7.3 and 22 N-cm opposing the action of the ankle extensor, as well as track a sinusoidal target ankle position up to a frequency of 1 Hz in the presence of a constant magnitude 22- or 37-N-cm external moment.
引用
收藏
页码:167 / 176
页数:10
相关论文
共 50 条
  • [21] Closed-loop stimulation in the control of focal epilepsy
    Smith, J
    Murro, M
    Politsky, J
    Park, Y
    Fountas, K
    Jenkins, P
    Greene, D
    Esteller, R
    PROCEEDINGS OF THE 14TH MEETING OF THE WORLD SOCIETY OF STEREOTACTIC AND FUNCTIONAL NEUROSURGERY WSSFN, 2005, : 73 - 78
  • [22] Real-Time Closed-Loop Functional Electrical Stimulation Control of Muscle Activation with Evoked Electromyography Feedback for Spinal Cord Injured Patients
    Li, Zhan
    Guiraud, David
    Andreu, David
    Gelis, Anthony
    Fattal, Charles
    Hayashibe, Mitsuhiro
    INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, 2018, 28 (06)
  • [23] Online Closed-Loop Control Using Tactile Feedback Delivered Through Surface and Subdermal Electrotactile Stimulation
    Dong, Jian
    Jensen, Winnie
    Geng, Bo
    Kamavuako, Ernest Nlandu
    Dosen, Strahinja
    FRONTIERS IN NEUROSCIENCE, 2021, 15
  • [24] Closed-loop control of a human Center-Of-Pressure position based on somatosensory feedback
    Verite, Fabien
    Bachta, Wael
    Morel, Guillaume
    2013 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2013, : 4255 - 4261
  • [25] Virtual Grasping: Closed-Loop Force Control Using Electrotactile Feedback
    Jorgovanovic, Nikola
    Dosen, Strahinja
    Djozic, Damir J.
    Krajoski, Goran
    Farina, Dario
    COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, 2014, 2014
  • [26] Providing Slip Feedback for Closed-Loop Control of Myoelectric Prosthesis via Electrotactile Stimulation
    Bao, Linjun
    Zhang, Dingguo
    Xu, Heng
    Zhu, Xiangyang
    INTELLIGENT ROBOTICS AND APPLICATIONS, ICIRA 2015, PT I, 2015, 9244 : 319 - 328
  • [27] Closed-Loop Control of Myoelectric Prostheses With Electrotactile Feedback: Influence of Stimulation Artifact and Blanking
    Hartmann, Cornelia
    Dosen, Strahinja
    Amsuess, Sebastian
    Farina, Dario
    IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2015, 23 (05) : 807 - 816
  • [28] Closed-loop optimization of transcranial magnetic stimulation with electroencephalography feedback
    Tervo, Aino E.
    Nieminen, Jaakko O.
    Lioumis, Pantelis
    Metsomaa, Johanna
    Souza, Victor H.
    Sinisalo, Heikki
    Stenroos, Matti
    Sarvas, Jukka
    Ilmoniemi, Risto J.
    BRAIN STIMULATION, 2022, 15 (02) : 523 - 531
  • [29] Closed-Loop Photic Stimulation using EEG
    Philipp, Streicher
    NEUROPSYCHOBIOLOGY, 2018, 77 (03) : 155 - 155
  • [30] Closed-Loop Control of Functional Electrical Stimulation Using a Selectively Recording and Bidirectional Nerve Cuff Interface
    Hwang, Yi-Chin E.
    Long, Liam
    Filho, Jose Sales
    Genov, Roman
    Zariffa, Jose
    IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2024, 32 : 504 - 513