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

By Md Kafiul Islam, A. Rastegarnia, Zhi Yang. Neurophysiologie clinique, 2016

414 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/dbfb2b4285c099cbe519e204294d971b245fd8c8

Citations in the corpus

• EEG-Based Emotion Recognition: A State-of-the-Art Review of Current Trends and Opportunities (2020, neutral): “Furthermore, external interferences such as audio noise or sense of touch may also introduce artefacts into the brainwave signals during collection, and these artefacts will need to be removed by the use of filtering algorithms [15–20].”
• Removal of Artifacts from EEG Signals: A Review (2019, neutral): “Furthermore, the environment artifacts and experiment error, which come from external factors, are classified as extrinsic artifacts, whereas the physiological from body itself (e.g., eye blink, muscle activity, heart beat) can be categorized as intrinsic artifacts [21 – 23].”