Literature DB >> 30703031

A Paradigm to Enhance Motor Imagery Using Rubber Hand Illusion Induced by Visuo-Tactile Stimulus.

Minsu Song, Jonghyun Kim.   

Abstract

Enhancing motor imagery (MI) results in amplified event-related desynchronization (ERD) and is important for MI-based rehabilitation and brain-computer interface (BCI) applications. Many attempts to enhance the MI by providing a visual guidance have been reported. We believe that the rubber hand illusion (RHI), which induces body ownership over an external object, can provide better guidance to enhance MI; thus, an RHI-based paradigm with motorized moving rubber hand was proposed. To validate the proposed MI enhancing paradigm, we conducted an experimental comparison among paradigms with 20 healthy subjects. The peak amplitude and arrival times of ERD were compared at contralateral and ipsilateral electroencephalogram channels. We found significantly amplified ERD caused by the proposed paradigm, which is similar to the ERD caused by motor execution. In addition, the arrival time suggests that the proposed paradigm is applicable for BCI. In conclusion, the proposed paradigm can significantly enhance the MI with better characteristics for use with BCI.

Entities:  

Mesh:

Year:  2019        PMID: 30703031     DOI: 10.1109/TNSRE.2019.2895029

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  6 in total

Review 1.  Progress in Brain Computer Interface: Challenges and Opportunities.

Authors:  Simanto Saha; Khondaker A Mamun; Khawza Ahmed; Raqibul Mostafa; Ganesh R Naik; Sam Darvishi; Ahsan H Khandoker; Mathias Baumert
Journal:  Front Syst Neurosci       Date:  2021-02-25

2.  Exploration of illusory visual motion stimuli: An EEG-based brain-computer interface for practical assistive communication systems.

Authors:  Yunyong Punsawad; Nannaphat Siribunyaphat; Yodchanan Wongsawat
Journal:  Heliyon       Date:  2021-03-16

3.  Sensorimotor Rhythm-Brain Computer Interface With Audio-Cue, Motor Observation and Multisensory Feedback for Upper-Limb Stroke Rehabilitation: A Controlled Study.

Authors:  Xin Li; Lu Wang; Si Miao; Zan Yue; Zhiming Tang; Liujie Su; Yadan Zheng; Xiangzhen Wu; Shan Wang; Jing Wang; Zulin Dou
Journal:  Front Neurosci       Date:  2022-03-11       Impact factor: 4.677

4.  Control of a Robotic Arm With an Optimized Common Template-Based CCA Method for SSVEP-Based BCI.

Authors:  Fang Peng; Ming Li; Su-Na Zhao; Qinyi Xu; Jiajun Xu; Haozhen Wu
Journal:  Front Neurorobot       Date:  2022-03-15       Impact factor: 2.650

5.  An EEG-based asynchronous MI-BCI system to reduce false positives with a small number of channels for neurorehabilitation: A pilot study.

Authors:  Minsu Song; Hojun Jeong; Jongbum Kim; Sung-Ho Jang; Jonghyun Kim
Journal:  Front Neurorobot       Date:  2022-09-12       Impact factor: 3.493

6.  Development of a Guidance System for Motor Imagery Enhancement Using the Virtual Hand Illusion.

Authors:  Hojun Jeong; Jonghyun Kim
Journal:  Sensors (Basel)       Date:  2021-03-21       Impact factor: 3.576

  6 in total

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