EEG Signal Processing Applied to Assistive Input Device for ALS

• Main Authors: WANG,WEN-KAI, 王文凱
• Other Authors: WU,CHUNG-MIN
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/cut94j

碩士 === 崑山科技大學 === 電子工程研究所 === 105 === For patients with amyotrophic lateral sclerosis, brainwave control is the last method of communication, but brainwave signals to be real-time control is very difficult, although many studies are active in the ongoing, but not yet an effective The most efficient way at this stage is to use visual evoked potentials for immediate control. This method uses frequency changes to induce corresponding brain waves. The disadvantage is that the eyes are prone to fatigue and can not be used for long periods of time. In this study, brain waves were induced by idea and imagination, and the corresponding brainwave control signals were found in this way so as to be applied to the input control of the auxiliary device. In this study, we imagined the motion imagination of left and right hand, the extraction of brain wave evoked signal, and the use of Emotiv's non-invasive brain wave meter (EPOC +), At the same time, fourteen positions of AF3, AF4, F3, F4, F7, F8, FC5, FC6, T7, T8, P7, P8, Ol and O2 were sampled, and then the Fourier transform was used to find out The frequency of evoked per second, by frequency changes to find out the corresponding control signal channel, through the channel of the signal changes, can be simple signal control. Experiments were conducted by 5 normal male participants aged 20 to 25 years old.This study found that the main changes to the brain waves of F4, AF3 and F3 were more obvious, which proved that this method was effective and easy to do.