He, Huili (2021) Multiscale fuzzy entropy based on local mean decomposition and Fisher rule for EEG feature extraction in human motion analysis. EAI Endorsed Transactions on Scalable Information Systems.
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Abstract
Electroencephalogram (EEG) is a nonlinear, non-stationary, and random weak signal generated by a large number of
neurons. It has great research value and practical significance in artificial intelligence, biomedical engineering and other
fields. EEG feature extraction
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 15:11 |
| Last Modified: | 17 Apr 2026 07:26 |
| URI: | http://eprints.eai.eu/id/eprint/38153 |
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