Markov Switching Process Monitoring Brain Wave Movement in Autism Children

Abstract

The brain is one of the most important and complex organs in the human body which controls all the activities of the organs, and daily activities, and plays a role in determining emotions. If there is interference in the brain, control of the body’s activities will be disrupted. Therefore, a tool is needed, namely the electroencephalograph (EEG) which plays a role in detecting brain wave movements. This study aims to detect patterns of brain wave movement in children with autism accompanied by seizures to monitor their activities. Using the Nihon Kohden application, Channel 5 (T5 – Cz) data as part of the T lobe brain, was used in this study. This data indicated stationary but non-linear pattern. Using the Markov switching process monitoring (MSPM) method, the ARL value for regime 1 (defined as abnormal brain wave movements) is 45.91 milliseconds which is greater than the ARL for regime 2 (defined as normal brain wave movements) is 26.91 milliseconds, so autism children have abnormal brain wave movements in the temporal lobe brain.