Development of Brain-Computer Interface System for Rehabilitation Device by Combining Motor Imagery and Visual Illusion Stimulation

Authors

  • Nannaphat Siribunyaphat Faculty of Engineering and Industrial Technology, Silpakorn University
  • Yunyong Punsawad Faculty of Engineering and Industrial Technology, Silpakorn University

Keywords:

brain-computer interface, motor imagery, illusion motion

Abstract

This article presents an enhancement of Motor Imagery--MI -based Brain-Computer Interface--BCI for rehabilitation by combining a visual motion illusion stimulation method. Since, the motor imagery takes a long time for training, the method of stimulation by external stimuli through the sensory system is an alternative way to increase the efficiency. The research is divided into two parts, mainly: (1) To observe and test the pattern of visual motion illusion for brain-computer interface (2) The proposed system of the BCI by combining motor imagery and visual illusion stimulation. This research uses the windmill pattern to modulate signal at occipital area of the brain. We were testing the windmill pattern with a different number of propellers. It was found that the windmill pattern with 96 propellers can stimulate the brain with the best result. Therefore, we used the obtained pattern to combine with motor imagery. This proposed system can create two commands to control the rehabilitation device for lifting the left or right arm with the designed algorithm, which implemented for the interface program using LabVIEW software. A total of 8 volunteers participated in the experiment, using a brain-computer interface system with motor imagery and combining the methods to compare the efficiency. The results show that the proposed method can increase the accuracy by approximately 4% to 6%. The speed of command creation is increased due to visual stimulation. Therefore, the combined effects may be caused by stimulating the brain with visual motion illusion only. In the future, we will develop algorithms, verify performance, and establish guidelines for use appropriate to control an arm rehabilitation device in reality.

Author Biographies

Nannaphat Siribunyaphat, Faculty of Engineering and Industrial Technology, Silpakorn University

Nannaphat Siribunyaphat received the B.Eng. degree in electronics and computer system engineering from Silpakorn University, Thailand in 2016. She is currently pursuing her M.Eng. degree in electrical and computer engineering at Silpakorn University, Thailand. Her current research interests include human-machine interface and biomedical data analytics.

Yunyong Punsawad, Faculty of Engineering and Industrial Technology, Silpakorn University

Yunyong Punsawad received a B.Eng. degree in electrical engineering from Suranaree University of Technology, Thailand in 2007 and M.S. and Ph.D. degrees in biomedical engineering from Mahidol University, Thailand in 2010 and 2016, respectively. In September 2013, he joined the Department of Electrical Engineering, Faculty of Engineering and Industrial Technology, Silpakorn University, Thailand, where he is currently an Assistant Professor. His current research interests include neural engineering and rehabilitation, brain-computer interface (BCI), assistive technology, and neurofeedback.

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Published

2021-04-16

How to Cite

Siribunyaphat, N., & Punsawad, Y. (2021). Development of Brain-Computer Interface System for Rehabilitation Device by Combining Motor Imagery and Visual Illusion Stimulation. EAU Heritage Journal Science and Technology (Online), 15(1), 75–88. retrieved from https://he01.tci-thaijo.org/index.php/EAUHJSci/article/view/242636

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Research Articles