Event-related desynchronization identification using continuous wavelet transform-SINGLE

Event-related desynchronization (ERD) and event-related potentials (ERPs) are two commonly observed phenomenons in the ongoing electroencephalogram (EEG) during internal or external triggered sensory, motor and cognitive events. Time-domain averaging is a widely used method to increase the signal-to-noise ratio and to detect some event-related cortical activities such as ERPs. However, this approach has drawbacks, where it's incapable of catching other types of events (e.g., ERD). To overcome this issue, we will consider an alternative approach. In this regard, time-frequency analysis (TFA) of the EEG using the continuous wavelet transform has been extensively used to explore different brain responses including ERPs and ERD.