EEG-Based Anamoly Detection for Autistic Kids – A Pilot Study

An electroencephalogram (EEG) test can be utilized to capture the electrical impulses in human brain. EEG signal analysis is crucial detection and treatment of brain diseases. Autism one neurological disorders that needs diagnosed early stages life. Autistic behavior difficult differentiate it even lead adverse effects daily routine a kid. Recent advances Artificial Intelligence have proven an effective way diagnosing ASD. This research employs PyCaret framework analyze anomalies present data context differentiating children from Typically developing children. The different anomaly modules been used detect anomalies, compute their scores visualize it. goal this study determine if PyCaret's module aid