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Research Article

Research on removal algorithm of EOG artifacts in single-channel EEG signals based on CEEMDAN-BD

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Pages 1368-1379 | Received 09 May 2020, Accepted 09 Feb 2021, Published online: 23 Feb 2021

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Wenlong Wang & Baojiang Li. (2023) A novel model based on a 1D-ResCNN and transfer learning for processing EEG attenuation. Computer Methods in Biomechanics and Biomedical Engineering 26:16, pages 1980-1993.
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Articles from other publishers (4)

Jammisetty Yedukondalu & Lakhan Dev Sharma. (2023) Circulant Singular Spectrum Analysis and Discrete Wavelet Transform for Automated Removal of EOG Artifacts from EEG Signals. Sensors 23:3, pages 1235.
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Shivam Sharma & Udit Satija. (2022) Automated Ocular Artifacts Removal Framework Based on Adaptive Chirp Mode Decomposition. IEEE Sensors Journal 22:6, pages 5806-5814.
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Ajay Kumar Maddirala & Kalyana C. Veluvolu. (2022) SSA with CWT and k-Means for Eye-Blink Artifact Removal from Single-Channel EEG Signals. Sensors 22:3, pages 931.
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Rakesh Ranjan, Bikash Chandra Sahana & Ashish Kumar Bhandari. (2021) Ocular artifact elimination from electroencephalography signals: A systematic review. Biocybernetics and Biomedical Engineering 41:3, pages 960-996.
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