EEG Signals De-Noising with Wavelet by Optimizing Threshold Based on Fruit Fly Optimization

Zhao, X, Liu, D, Ma, L et al. (3 more authors) (2020) EEG Signals De-Noising with Wavelet by Optimizing Threshold Based on Fruit Fly Optimization. In: ICNCC 2020: 2020 The 9th International Conference on Networks, Communication and Computing. ICNCC 2020: 2020 The 9th International Conference on Networks, Communication and Computing, 18-20 Dec 2020, Tokyo, Japan. ACM . ISBN 978-1-4503-8856-6

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Copyright, Publisher and Additional Information: © 2020 Association for Computing Machinery. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in ICNCC 2020: 2020 The 9th International Conference on Networks, Communication and Computing, http://dx.doi.org/10.1145/3447654.3447665
Keywords: Brain-computer interface (BCI), Preprocessing, Threshold and threshold function, Fruit fly optimization algorithm (FOA)
Dates:
  • Published: 18 December 2020
  • Accepted: 27 October 2020
  • Published (online): 13 May 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 19 Jul 2021 10:38
Last Modified: 19 Jul 2021 10:38
Status: Published
Publisher: ACM
Identification Number: https://doi.org/10.1145/3447654.3447665

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