The Analysis of EEG after Mild Traumatic Brain Injury(mTBI) Using CWT and CNN

Abstract

Abstract Electroencephalography (EEG) is a bio-signal used in various approaches such as clinical diagnosis. The analysis aims to investigate the validity of EEG signal detection after mTBI which refers to mild traumatic brain injury. Although EEG does not directly present features that could be found within mTBI, by utilizing the processing method of CWT (Continuous Wavelet Transform) and CNN deep learning which will be mentioned, the resulted accuracy reached 91.29%. This study indicates that the proposed CWT-CNN method may have a potential usage in the identification, classification, and monitoring of mTBI patients.