A new framework for automatic detection of motor and mental imagery EEG signals for robust BCI systems
Nonstationary signal decomposition (SD) is a primary procedure to extract monotonic components or modes from electroencephalogram (EEG) signals for the development of robust brain-computer interface (BCI) systems. This study proposes a novel automated computerized framework for proficient identifica...
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Main Authors: | Yu, Xiaojun, Muhammad Zulkifal Aziz, Muhammad Tariq Sadiq, Fan, Zeming, Xiao, Gaoxi |
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Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2022
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/159504 |
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Institution: | Nanyang Technological University |
Language: | English |
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