Advance Approach for Effective EEG Artefacts Removal-Reference-Cited by-同舟云学术

Advance Approach for Effective EEG Artefacts Removal

Published:2019-11-20 Issue: Volume: Page:267-278
ISSN:1868-4394
Container-title:Intelligent Systems Reference Library
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Author:

Satpathy Rudra Bhanu,Ramesh G. P.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-32644-9_28

Reference12 articles.

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2. Chen, X.H., Peng, H.: Removal of muscle artifacts from single-channel EEG based on ensemble empirical mode decomposition and multi-set canonical correlation analysis. J. Appl. Math. 1–11 (2014)

3. Teng, C.Z., Wang, G.: The removal of EMG artifact from EEG signals by the multivariate empirical mode decomposition. Signal Processing, Communications and Computing, pp. 873–876 (2014)

4. Zhao, C., Qiu, T.: An automatic ocular artifacts removal method based on wavelet-enhanced canonical correlation analysis. Eng. Med. Biol. Soc. (EMBC), 4191–4194 (2015)

5. Islam, M.K., Rastegarnia, A., Yang, Z.: A wavelet-based artifact reduction from scalp EEG for epileptic seizer detection. IEEE J. Biomed. Health Inf. (2015)

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