IDENTIFICATION OF SPECTRAL ENTROPY FROM BRAINWAVES IN AUTISM SPECTRUM DISORDERS (ASD) BASED ON ELECTROENCEPHALOGRAM (EEG)

• Main Author: Gani, Ernawatil
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/49464
• Institution: Institut Teknologi Bandung

In recent years, the number of children with Autism Spectrum Disorder (ASD) in Indonesia has increased. This increase was reflected in the registration of an increasing number of children in various foundations for ASD in Indonesia. One way to anticipate this is to perform early detection of symptoms of ASD using brain waves recorded by electroencephalography (EEG). This study aims to examine the value of power spectral density (PSD) and spectral entropy (SE) on theta, alpha, and beta frequencies in children with ASD and normal. Brainwave recording using 14-channel Emotiv Epoc and 128 Hz sampling rate. The number of subjects tested in the study was 5 children with ASD and 5 children without ASD as the control with age from 8 to 12 years old. The recording time was 4 minutes with the eyes relaxed and closed. Then, the step of preprocessing the EEG signal is followed by a spectral calculation using the Welch periodogram and calculation of the spectral entropy value. The results showed that the value of PSD for children with ASD tended to be higher than that of normal children. The highest spectral mean value of entropy in children with ASD is in the occipital region (O1) and the lowest in the temporal region (T8). While in normal children the highest spectral mean value of entropy is found in the frontal area (F4) with a value of 5.476 and the lowest in the parietal area (P7) with a value of 4.432. Thus, it can be concluded that the spectral entropy in children with ASD is smaller than that of normal children for theta, alpha, and beta frequency bands. This is because a child's brain with ASD has a low level of irregularity.