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An Efficient and Robust Muscle Artifact Removal Method for Few-Channel EEG

The unavoidable muscle artifacts pose challenges on reliable interpretation of the electroencephalogram (EEG) recordings, especially for the wearable few-channel EEG, a new emerging scenario. However, the high computational load and low robustness of the existing methods limit its wider applications...

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Bibliografische Detailangaben
Hauptverfasser: Yan Liu, Yuanfeng Zhou, Xun Lang, Yipeng Liu, Qian Zheng, Yanjiong Zhang, Xu Jiang, Li Zhang, Jihong Tang, Yakang Dai
Format: Artigo
Sprache:Inglês
Veröffentlicht: IEEE 2019-01-01
Schriftenreihe:IEEE Access
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Online-Zugang:https://ieeexplore.ieee.org/document/8920076/
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