Features based on analytic IMF for classifying motor imagery EEG signals in BCI applications

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Taran, Sachin, Bajaj, Varun, Sharma, Dheeraj, Siuly, Siuly ORCID: 0000-0003-2491-0546 and Sengur, A (2018) Features based on analytic IMF for classifying motor imagery EEG signals in BCI applications. Measurement, 116. pp. 68-76. ISSN 0263-2241

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Item type Article
URI https://vuir.vu.edu.au/id/eprint/38536
DOI https://doi.org/10.1016/j.measurement.2017.10.067
Official URL https://www.sciencedirect.com/science/article/pii/...
Subjects Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing
Historical > FOR Classification > 0906 Electrical and Electronic Engineering
Historical > FOR Classification > 1702 Cognitive Science
Historical > Faculty/School/Research Centre/Department > Centre for Applied Informatics
Current > Division/Research > College of Science and Engineering
Keywords brain-computer interface; intrinsic mode functions; empirical mode decomposition; electroencephalogram; least squares support vector machine; feature extraction; feature classification
Citations in Scopus 46 - View on Scopus
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