The 70th JSAP Spring Meeting 2023

Presentation information

Oral presentation

23 Joint Session N "Informatics" » 23.1 Joint Session N "Informatics"

[18a-A401-1~9] 23.1 Joint Session N "Informatics"

Sat. Mar 18, 2023 9:00 AM - 11:30 AM A401 (Building No. 6)

Naoka Nagamura(NIMS), Kanta Ono(Osaka Univ.)

11:00 AM - 11:15 AM

[18a-A401-8] PC-application control by electroencephalography-based brain-machine interface

〇(B)Shunta Sakamoto1, Daisuke Konno1, Riku Takamira1, Hirohito Sawahata1 (1.KOSEN, Ibaraki)

Keywords:Brain-machine interface

Motor dysfunction caused by amyotrophic lateral sclerosis (ALS) and muscular dystrophy can lead to problems such as paralysis of limbs, inability to communicate one's intentions, and reduced quality of life. Brain-machine interface (BMI) is one way to solve this problem. In this study, we modified a sensory stimulator from a previous study and used event-related potentials (ERPs) in sensory EEG signals to control a computer application and evaluated its operability.