Preprocessing of EEG

摘要: Preprocessing of the EEG signal, which is virtually a set signal processing steps preceding main data analyses, essential to obtain only brain activity from noisy recordings. It has been shown that design preprocessing procedures can affect subsequent analysis outcomes. largely includes number processes, such as line noise removal, adjustment referencing, elimination bad channels, and artifact removal. This chapter presents an overview methods available for each process discusses practical considerations applying these signals. In particular, considerable attention paid state-of-the-art removal since there are still plenty opportunities enhance techniques EEG, in perspectives both neuroscience. desirable this provides readers overall view pipelines serves handbook guide practice preprocessing.