The effect of power spectral density on the electroencephalography of autistic children based on the welch periodogram method

Autism spectrum disorder (ASD) is a serious mental affecting social behavior. Some children also face intellectual delay. In people with ASD, the signals detected have abnormalities compared to normal people. This can be reference in diagnosing electroencephalography (EEG). study will analyze effect of Power spectral density (PSD) on EEG autistic and compare it PSD value using Welch Periodogram method approach. preprocessing stage, Independent Component Analysis (ICA) applied remove artifacts, Finite Impulse Response (FIR) filter reduce noise signal. The results indicate differences values ​​obtained signals. obtained signal higher than all frequency sub-bands. From results, highest by delta sub-band, which 54.06 dB/Hz, while only 33.14 dB/Hz at same sub-band. And Alpha Beta sub-bands, increases value, signal, decreases addition, FIR ICA methods artifacts contained