التفاصيل البيبلوغرافية
| العنوان: |
A Review of EEG Artifact Removal Methods for Brain-Computer Interface Applications. |
| المؤلفون: |
Khan, Safdar Sardar safdar.cse@gmail.com, Sudan, Jaskirat Singh1, Pathak, Anuj1, Pandit, Rakesh1, Rane, Pinky1, Kumawat, Ashish Kumar1 |
| المصدر: |
Ingénierie des Systèmes d'Information. Feb2024, Vol. 29 Issue 1, p247-252. 6p. |
| مصطلحات موضوعية: |
ELECTROENCEPHALOGRAPHY, BRAIN-computer interfaces |
| مستخلص: |
The use of electroencephalogram signals in brain-computer interface Applications is widely used in Neuroscience. EEG records electrical activity in the brain but can also capture unwanted electrical activities called artifacts. They can originate from environmental noise, experimental errors, and physiological sources. To address these challenges, EEG Data Analysis involves different data preprocessing and statistical techniques. This systematic review conducted on more than 25 papers, aims to provide an overview of various types of artifacts such as extrinsic and intrinsic artifacts and methods available for removing those artifacts from EEG signals. Each approach presents unique advantages and challenges, contributing to the enhancement of the quality and reliability of EEG data for accurate analysis and interpretation. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
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