Compact Convolutional neural network (CNN) based on SincNet for end-to-end motor imagery decoding and analysis
In the field of human-computer interaction, the detection, extraction and classification of the electroencephalogram (EEG) spectral and spatial features are crucial towards developing a practical and robust non-invasive EEG-based brain-computer interface. Recently, due to the popularity of end-to-en...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier B.V.
2021
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| Online Access: | http://eprints.utem.edu.my/id/eprint/25811/2/1-S2.0-S0208521621001200-MAIN.PDF http://eprints.utem.edu.my/id/eprint/25811/ https://reader.elsevier.com/reader/sd/pii/S0208521621001200?token=A30143A7C366A5F537B16EAE993E2AC50295AE6028BD6DB1DBD7B0E9F406D619D54E273687490FFDE1D810B8D2F389A5&originRegion=eu-west-1&originCreation=20220310074616 https://doi.org/10.1016/j.bbe.2021.10.001 |
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| Institution: | Universiti Teknikal Malaysia Melaka |
| Language: | English |
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http://eprints.utem.edu.my/id/eprint/25811/2/1-S2.0-S0208521621001200-MAIN.PDFhttp://eprints.utem.edu.my/id/eprint/25811/
https://reader.elsevier.com/reader/sd/pii/S0208521621001200?token=A30143A7C366A5F537B16EAE993E2AC50295AE6028BD6DB1DBD7B0E9F406D619D54E273687490FFDE1D810B8D2F389A5&originRegion=eu-west-1&originCreation=20220310074616
https://doi.org/10.1016/j.bbe.2021.10.001