TY - GEN
T1 - Artifact detection and correction in EEG data
T2 - 10th International IEEE/EMBS Conference on Neural Engineering, NER 2021
AU - Sadiya, Sari
AU - Alhanai, Tuka
AU - Ghassemi, Mohammad M.
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/5/4
Y1 - 2021/5/4
N2 - Electroencephalography (EEG) has countless applications across many of fields. However, EEG applications are limited by low signal-to-noise ratios. Multiple types of artifacts contribute to the noisiness of EEG, and many techniques have been proposed to detect and correct these artifacts. These techniques range from simply detecting and rejecting artifact ridden segments, to extracting the noise component from the EEG signal. In this paper we review a variety of recent and classical techniques for EEG data artifact detection and correction with a focus on the last half-decade. We compare the strengths and weaknesses of the approaches and conclude with proposed future directions for the field.
AB - Electroencephalography (EEG) has countless applications across many of fields. However, EEG applications are limited by low signal-to-noise ratios. Multiple types of artifacts contribute to the noisiness of EEG, and many techniques have been proposed to detect and correct these artifacts. These techniques range from simply detecting and rejecting artifact ridden segments, to extracting the noise component from the EEG signal. In this paper we review a variety of recent and classical techniques for EEG data artifact detection and correction with a focus on the last half-decade. We compare the strengths and weaknesses of the approaches and conclude with proposed future directions for the field.
UR - http://www.scopus.com/inward/record.url?scp=85107485339&partnerID=8YFLogxK
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U2 - 10.1109/NER49283.2021.9441341
DO - 10.1109/NER49283.2021.9441341
M3 - Conference contribution
AN - SCOPUS:85107485339
T3 - International IEEE/EMBS Conference on Neural Engineering, NER
SP - 495
EP - 498
BT - 2021 10th International IEEE/EMBS Conference on Neural Engineering, NER 2021
PB - IEEE Computer Society
Y2 - 4 May 2021 through 6 May 2021
ER -