การพัฒนาระบบเชื่อมต่อสมองกับคอมพิวเตอร์สำหรับอุปกรณ์ช่วยฟื้นฟูสมรรถภาพด้วยการผสมผสานคลื่นไฟฟ้าสมองจากการจินตนาการการเคลื่อนไหวและการกระตุ้นทางการมองเห็นด้วยภาพเคลื่อนไหวลวงตา
Year: 2021
Type: article
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.
Institution: Silpakorn University
Language: Thai
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W7220138883