Feature selection using regularized neighbourhood component analysis to enhance the classification performance of motor imagery signals

Computers in Biology and Medicine
Nitesh Singh Malan, Shiru Sharma

Abstract

In motor imagery (MI) based brain-computer interface (BCI) signal analysis, mu and beta rhythms of electroencephalograms (EEGs) are widely investigated due to their high temporal resolution and capability to define the different movement-related mental tasks separately. However, due to the high dimensions and subject-specific behaviour of EEG features, there is a need for a suitable feature selection algorithm that can select the optimal features to give the best classification performance along with increased computational efficiency. The present study proposes a feature selection algorithm based on neighbourhood component analysis (NCA) with modification of the regularization parameter. In the experiment, time, frequency, and phase features of the EEG are extracted using a dual-tree complex wavelet transform (DTCWT). Afterwards, the proposed algorithm selects the most significant EEG features, and using these selected features, a support vector machine (SVM) classifier performs the classification of MI signals. The proposed algorithm has been validated experimentally on two public BCI datasets (BCI Competition II Dataset III and BCI Competition IV Dataset 2b). The classification performance of the algorithm is quantified by t...Continue Reading

Citations

Oct 22, 2020·Sensors·Patricia Becerra-SánchezAntonio Guerrero-Ibañez
Nov 28, 2020·Journal of Neural Engineering·Foroogh ShamsiLaleh Najafizadeh
Apr 28, 2020·Computers in Biology and Medicine·Shuhan YangFengfeng Zhou
Aug 12, 2021·International Journal of Neural Systems·Hao SunAndrzej Cichocki
Sep 3, 2021·Biomedical Physics & Engineering Express·Salman Mohd KhanOmar Farooq

❮ Previous
Next ❯

Related Concepts

Related Feeds

Brain-Computer Interface

A brain-computer interface, also known as a brain-machine interface, is a bi-directional communication pathway between an external device and a wired brain. Here is the latest research on this topic.

Related Papers

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Rebeca CorralejoDaniel Álvarez
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Yueru WangShuicai Wu
© 2022 Meta ULC. All rights reserved