Control of Human Motor Rehabilitation Devices

被引:1
|
作者
Orlov I.V. [1 ]
Stolbkov Y.K. [1 ]
Gerasimenko Y.P. [1 ]
机构
[1] Pavlov Institute of Physiology, Russian Academy of Sciences, St. Petersburg
关键词
brain–computer interfaces; interfaces based on EEG components; interfaces based on electrical and other muscle characteristics; limb prostheses; myoelectric prostheses;
D O I
10.1134/S0362119718050122
中图分类号
学科分类号
摘要
Abstract: The loss of limbs or limitations to their motor functions leads to a critical deterioration of the human quality of life. This article presents a brief review about the evolution of prosthetics, the dawn of which dates back to antiquity, and shows its transition to new technologies between the two world wars and in the contemporary era. The authors discuss the interfaces developed for controlling the recovery of lost limb functions, based on the optimal choice of assistive devices and artificial bypassing from the brain to the spinal cord with a closed feedback loop. The review gives the current classification and application of control interfaces (both invasive and noninvasive) for the recovery of functions, using electroencephalogram (EEG) components (including brain–computer interfaces (BCIs)), as well as electrical and other myogram components. The interfaces are discussed in terms of changes in the physical characteristics of muscles during their contraction and vibration and other properties. The article considers challenges and global demands for specialized treatment as exemplified by American statistical data on spinal cord lesions. © 2018, Pleiades Publishing, Inc.
引用
收藏
页码:686 / 695
页数:9
相关论文
共 50 条
  • [1] Upper and lower extremity robotic devices for rehabilitation and for studying motor control
    Hesse, S
    Schmidt, H
    Werner, C
    Bardeleben, A
    CURRENT OPINION IN NEUROLOGY, 2003, 16 (06) : 705 - 710
  • [2] Human-machine-human interaction in motor control and rehabilitation: a review
    Emek Barış Küçüktabak
    Sangjoon J. Kim
    Yue Wen
    Kevin Lynch
    Jose L. Pons
    Journal of NeuroEngineering and Rehabilitation, 18
  • [3] Human-machine-human interaction in motor control and rehabilitation: a review
    Kucuktabak, Emek Baris
    Kim, Sangjoon J.
    Wen, Yue
    Lynch, Kevin
    Pons, Jose L.
    JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2021, 18 (01)
  • [4] Inertial Sensing for Human Motor Control Symmetry in Injury Rehabilitation
    Field, Matthew
    Stirling, David
    Ros, Montserrat
    Pan, Zengxi
    Naghdy, Fazel
    2013 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM): MECHATRONICS FOR HUMAN WELLBEING, 2013, : 1470 - 1475
  • [5] Manual Control for Motor Rehabilitation
    Nakatani S.
    Okuda K.
    IEEJ Transactions on Electronics, Information and Systems, 2022, 142 (03) : 412 - 421
  • [6] Exoskeletons for rehabilitation and motor control
    Ruiz, A. F.
    Forner-Cordero, A.
    Rocon, E.
    Pons, J. L.
    2006 1ST IEEE RAS-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL ROBOTICS AND BIOMECHATRONICS, VOLS 1-3, 2006, : 797 - +
  • [7] A review: Motor rehabilitation after stroke with control based on human intent
    Li, Min
    Xu, Guanghua
    Xie, Jun
    Chen, Chaoyang
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART H-JOURNAL OF ENGINEERING IN MEDICINE, 2018, 232 (04) : 344 - 360
  • [8] Motor rehabilitation should be based on knowledge of motor control
    Daniele Piscitelli
    Archives of Physiotherapy, 6 (1)
  • [9] Application of motion control in rehabilitation devices
    Cernohorsky, Josef
    Diblik, Martin
    Richter, Ales
    2022 23RD INTERNATIONAL CARPATHIAN CONTROL CONFERENCE (ICCC), 2022, : 354 - 359
  • [10] Review of human—robot coordination control for rehabilitation based on motor function evaluation
    Di Shi
    Liduan Wang
    Yanqiu Zhang
    Wuxiang Zhang
    Hang Xiao
    Xilun Ding
    Frontiers of Mechanical Engineering, 2022, 17