Diagnosis of Aphasia From Electroencephalogram using Neural Network

摘要

Diagnosis of aphasia from electroencephalogram(EEG) was investigated. EEG data of the following patients were collected; the patient of total aphasia who is difficult to understand the speech and the patient of motor aphasia(Broca aphasia) who feels pain or makes some grammaticla mistakes when the speaks anything while he can understand the speech. At first, power spectrum of EEG was extracted by the fast fourier Transform(FFT). The spectrum was spearated into 9 regions, corresponding to the characterized wave. The regions with 4.0 to 5.9, 6.0 to 7.9 and 8.0 to 12.9 Hz were selected as the freqency band of #theta#_1, #theta#_2, and #alpha# waves, respectively.