Alpha and beta EEG brainwave signal classification technique: A conceptual study

Abstract

This paper presents a conceptual of EEG analysis and classification of brainwaves signal for alpha and beta signals during Functional Electrical Stimulation, FES-assisted exercise. The characteristics of brainwave signals, data acquisition for electroencephalograph (EEG) signal and data session are identified. This paper also includes the criteria of the subject for both stroke patient and healthy person. The process of filtering the artifact and sampling the data were studied based on the established previous worked. In addition, a review on feature extraction for further classifying of brainwave signals stroke patients before and after performing FES-assisted exercised were also identified.