Quantifying movement intentions with multimodal neuroimaging for functional electrical stimulation-based rehabilitation

被引:7
|
作者
Lee, Min-Ho [1 ]
Kim, Bum-Joo [1 ]
Lee, Seong-Whan [1 ]
机构
[1] Korea Univ, Dept Brain & Cognit Engn, Seoul 136713, South Korea
关键词
clinical neurofeedback; electroencephalography; functional electrical stimulation; multimodal neuroimaging; near-infrared spectroscopy; STRATEGY USE; ACQUISITION;
D O I
10.1097/WNR.0000000000000480
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Functional electrical stimulation (FES) is a common rehabilitation method for the purpose of recovery of paralyzed muscle by means of sequential electrical stimulation. Reports indicate that active participation by the patient, as opposed to simple stimulation, leads to improved recovery when using FES and other rehabilitation techniques. In this paper, we investigate the neurophysiological effect of an active participant's intention in the FES rehabilitation task. To observe the difference in brain signal between intentional and involuntary movement during FES, electroencephalography and near-infrared spectroscopy were simultaneously measured in the motor cortex area. The result showed that the presence of intention affects the activation of the brain significantly in both hemodynamic responses (near-infrared spectroscopy) and electrical (electroencephalography) patterns, and the accuracy of classification between passive and active mental states during FES was 85.3%. Our result implies the possibility to quantify motivation, or active participation, during rehabilitation, which has not been considered a measurable value in the rehabilitation field.
引用
收藏
页码:61 / 66
页数:6
相关论文
共 50 条
  • [1] A STATE SYNCHRONIZATION CONTROLLER FOR FUNCTIONAL ELECTRICAL STIMULATION-BASED TELEREHABILITATION
    Alibeji, Naji A.
    Kirsch, Nicholas A.
    Sethi, Amit
    Sharma, Nitin
    7TH ANNUAL DYNAMIC SYSTEMS AND CONTROL CONFERENCE, 2014, VOL 3, 2014,
  • [2] Phase-lead iterative learning control algorithms for functional electrical stimulation-based stroke rehabilitation
    Freeman, C. T.
    Tong, D.
    Meadmore, K.
    Cai, Z.
    Rogers, E.
    Hughes, A. M.
    Burridge, J. H.
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2011, 225 (I6) : 850 - 859
  • [3] Multiperiodic Repetitive Control for Functional Electrical Stimulation-Based Wrist Tremor Suppression
    Zhang, Zan
    Chu, Bing
    Liu, Yanhong
    Ren, Haichuan
    Li, Zhe
    Owens, David H.
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2022, 30 (04) : 1494 - 1509
  • [4] A Microcontroller Platform for the Rapid Prototyping of Functional Electrical Stimulation-Based Gait Neuroprostheses
    de Melo, Paulo Luzio
    da Silva, Miguel Tavares
    Martins, Jorge
    Newman, Dava
    ARTIFICIAL ORGANS, 2015, 39 (05) : E56 - E66
  • [5] Optimal Trajectory Planning for a Constrained Functional Electrical Stimulation-Based Human Walking
    Sharma, Nitin
    Stein, Richard
    2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2011, : 603 - 607
  • [6] Functional Neuroimaging and Transcranial Electrical Stimulation
    Turi, Zsolt
    Paulus, Walter
    Antal, Andrea
    CLINICAL EEG AND NEUROSCIENCE, 2012, 43 (03) : 200 - 208
  • [7] Gait Planning and Double Support Phase Model for Functional Electrical Stimulation-based Walking
    Sharma, Nitin
    Stein, Richard
    2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2012, : 1904 - 1907
  • [8] Functional electrical stimulation-based cycling assisted by flywheel and electrical clutch mechanism: A feasibility simulation study
    Abdulla, S. C.
    Sayidmarie, O.
    Tokhi, M. O.
    ROBOTICS AND AUTONOMOUS SYSTEMS, 2014, 62 (02) : 188 - 199
  • [9] Development and Validation of a Closed-Loop Functional Electrical Stimulation-Based Controller for Gait Rehabilitation Using a Finite State Machine Model
    Hayami, Naoki
    Williams, Heather E.
    Shibagaki, Koshi
    Vette, Albert H.
    Suzuki, Yasuyuki
    Nakazawa, Kimitaka
    Nomura, Taishin
    Milosevic, Matija
    IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2022, 30 : 1642 - 1651
  • [10] Mechanical design and driving mechanism of an isokinetic functional electrical stimulation-based leg stepping trainer
    Hamzaid, N. A.
    Fornusek, C.
    Ruys, A.
    Davis, G. M.
    AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE, 2007, 30 (04) : 323 - 326