An Effect of Limb Position in Motor Imagery Training Paradigm in Immersive Virtual Environment

被引:0
|
作者
Kiatthaveephong, Suktipol [1 ]
Santiwongkarn, Suvichak [2 ]
Chaisaen, Rattanaphon [1 ]
Rungsilp, Chutimon [1 ]
Yagi, Tohru [3 ]
Wilaiprasitporn, Theerawit [1 ]
机构
[1] Vidyasirimedhi Inst Sci & Technol VISTEC, Rayong, Thailand
[2] Thammasat Univ, Sirindhorn Int Inst Technol SIIT, Bangkok, Thailand
[3] Tokyo Inst Technol, Tokyo, Japan
来源
关键词
Brain-Computer Interfaces (BCI); electroencephalogram (EEG); motor imagery (MI); virtual reality (VR);
D O I
10.1109/SENSORS52175.2022.9967135
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Motor imagery (MI) training-based Brain-Computer Interfaces (BCI) improved individuals' motor function by inducing direct alterations in the sensorimotor area. Virtual Reality (VR)-based MI training has been identified as a promising technique for achieving high performance. However, the physical limb position should be considered when designing a better training task. This paper investigated the effect of induced MI activities when the virtual arms were at normal and shifted down position. The paradigm used of Virtual Reality (VR) to simulate the situation of having realistic and unrealistic arms position in an immersive virtual environment. Analyses of electroencephalograms (EEGs) revealed significant differences in MI activity levels between two positions on both the left and right sides. During shifted arms MI, the negative power regions were found in beta and gamma bands on the contralateral hemisphere in time-frequency analysis. Resting vs. normal position arms MI and resting vs. shifted position arms MI classification accuracy reached 80% and 63%, respectively. Overall, these findings suggested that taking into account the realistic physical position of virtual limbs is critical for optimizing MI training performance.
引用
收藏
页数:4
相关论文
共 50 条
  • [1] Observing Actions Through Immersive Virtual Reality Enhances Motor Imagery Training
    Choi, Jin Woo
    Kim, Byung Hyung
    Huh, Sejoon
    Jo, Sungho
    IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2020, 28 (07) : 1614 - 1622
  • [2] A Paradigm to Enhance Motor Imagery through Immersive Virtual Reality with Visuo-Tactile Stimulus
    Du, Bin
    Yue, Kang
    Hu, Haochen
    Liu, Yue
    2021 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2021, : 703 - 708
  • [3] Active training paradigm for motor imagery BCI
    Li, Junhua
    Zhang, Liqing
    EXPERIMENTAL BRAIN RESEARCH, 2012, 219 (02) : 245 - 254
  • [4] Active training paradigm for motor imagery BCI
    Junhua Li
    Liqing Zhang
    Experimental Brain Research, 2012, 219 : 245 - 254
  • [5] Towards an Immersive Virtual Environment for Medical Team Training
    Lee, Chang Ha
    Liu, Alan
    Del Castillo, Sofia
    Bowyer, Mark
    Alverson, Dale
    Muniz, Gilbert
    Caudell, Thomas P.
    MEDICINE MEETS VIRTUAL REALITY 15, 2007, 125 : 274 - 279
  • [6] Kinematic of the Position and Orientation Synchronization of the Posture of a n DoF Upper-Limb Exoskeleton with a Virtual Object in an Immersive Virtual Reality Environment
    Huamanchahua, Deyby
    Vargas-Martinez, Adriana
    Ramirez-Mendoza, Ricardo
    ELECTRONICS, 2021, 10 (09)
  • [7] Motor Imagery Training of Reaching-to-Grasp Movement Supplemented by a Virtual Environment in an Individual With Congenital Bilateral Transverse Upper-Limb Deficiency
    Mencel, Joanna
    Jaskolska, Anna
    Marusiak, Jaroslaw
    Kaminski, Lukasz
    Kurzynski, Marek
    Wolczowski, Andrzej
    Jaskolski, Artur
    Kisiel-Sajewicz, Katarzyna
    FRONTIERS IN PSYCHOLOGY, 2021, 12
  • [8] Optimizing Motor Imagery Neurofeedback through the Use of Multimodal Immersive Virtual Reality and Motor Priming
    Vourvopoulos, Athanasios
    Munoz Cardona, John Edison
    Bermudez i Badia, Sergi
    2015 INTERNATIONAL CONFERENCE ON VIRTUAL REHABILITATION PROCEEDINGS (ICVR), 2015, : 228 - 234
  • [9] Embodiment Comfort Levels During Motor Imagery Training Combined With Immersive Virtual Reality in a Spinal Cord Injury Patient
    Pais-Vieira, Carla
    Gaspar, Pedro
    Matos, Demetrio
    Alves, Leonor Palminha
    da Cruz, Barbara Moreira
    Azevedo, Maria Joao
    Gago, Miguel
    Poleri, Tania
    Perrotta, Andre
    Pais-Vieira, Miguel
    FRONTIERS IN HUMAN NEUROSCIENCE, 2022, 16
  • [10] Training Archived Physical Skill through Immersive Virtual Environment
    Kojima, Taihei
    Hiyama, Atsushi
    Miura, Takahiro
    Hirose, Michitaka
    HUMAN INTERFACE AND THE MANAGEMENT OF INFORMATION: INFORMATION AND KNOWLEDGE IN APPLICATIONS AND SERVICES, PT II, 2014, 8522 : 51 - 58