Methods for artifact detection and removal from scalp EEG: A review

摘要: Electroencephalography (EEG) is the most popular brain activity recording technique used in wide range of applications. One commonly faced problems EEG recordings presence artifacts that come from sources other than and contaminate acquired signals significantly. Therefore, much research over past 15 years has focused on identifying ways for handling such preprocessing stage. However, this still an active area as no single existing artifact detection/removal method complete or universal. This article presents extensive review state-of-the-art detection removal methods scalp all potential EEG-based applications analyses pros cons each method. First, a general overview different types are found their effect particular presented. In addition, compared based ability to remove certain suitability relevant (only functional comparison provided not performance evaluation methods). Finally, future direction expected challenges current discussed. be helpful interested researchers who will develop and/or apply algorithm/technique well those willing improve algorithms propose new solution research.