क्यूआर कोड

Discriminative Feature Selection-Based Motor Imagery Classification Using EEG Signal

Achieving a reliable classification of motor imagery (MI) tasks is a major challenge in brain–computer interface (BCI) implementation. The set of relevant and discriminative features plays an important role in the classification scheme. This paper presents a supervised approach to select disc...

पूर्ण विवरण

में बचाया:
मुख्य लेखकों: Md. Khademul Islam Molla, Abdullah Al Shiam, Md. Rabiul Islam, Toshihisa Tanaka
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: IEEE 2020-01-01
श्रृंखला:IEEE Access
विषय:
Brain–computer interface (BCI)
electroencephalography (EEG)
machine learning
motor imagery (MI)
subband decomposition
supervised feature selection
ऑनलाइन पहुंच:https://ieeexplore.ieee.org/document/9098904/
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