Mental state classification based on electroencephalogram (EEG) using multiclass support vector machine.
Journal:
The Medical journal of Malaysia
Published Date:
May 1, 2025
Abstract
INTRODUCTION: Mental state refers to a person's state of mind from various perspectives, including consciousness, intention, and functionalism. Mental states closely related to everyday life include the concentrating state, neutral state, and relaxation state. Concentration is vital for cognitive tasks, while relaxation is crucial for comfort. However, individuals with mental disorders or neurological conditions often struggle to achieve these states, requiring effective detection and intervention. One method for detecting mental states is by using brainwave signals obtained through electroencephalogram (EEG). EEG has been widely used in neuroscience and clinical settings to objectively assess mental states by analyzing brainwave signals. Previous studies have demonstrated the potential of EEG-based mental state classification in stress detection, cognitive workload analysis, or depression detection.