@inproceedings{9a63b445d8234ff4ade833899fb5ebc6,
title = "Design of BCI Motor Imagery Classification Using WPT-CSP and CNN",
abstract = "This study proposes a new method in an electroencephalograph (EEG)-based Brain-Computer Interface (BCI) that can directly utilize brain signals to control external devices. The motor Imagery (MI) signal, which contains an image of a certain limb movement, is generally used in BCI. It does not need direct movements. The implementation of MI-EEG signal into BCI still experiences major issues because the patterns obtained for each recording can vary from one another even though they have the same type of motion. In this study, we utilized the Wavelet Packet Transform (WPT) method to decompose the EEG signal into specific sub-band frequencies and Common Spatial Pattern (CSP) as a spatial filter to increase the spatial resolution of the EEG signal. The Convolutional Neural Network (CNN) was subsequently selected for training from the classifier. Next, the results of the training were used to classify the movements of the given MI-EEG. We evaluated the model using dataset 2a from Brain-Computer Interface Competition (BCIC) IV. The results of this method showed the increase in the accuracy of 32% and in Kappa up to 0.42 and the decrease in Root Mean Square Error (RMSE) up to 1.21, compared with only using CNN as the classifier. These results showed fairly good performance compared to other methods used previously in dataset 2a from BCIC IV.",
keywords = "Accuracy, CNN, CSP, Kappa, MI-EEG, RMSE, Spatial Resolution, WPT",
author = "Pradana, {Dio Alif} and Basari",
note = "Funding Information: The authors would like to thank the organizers of BCI Competition IV for providing the dataset available for this research. We also gratefully acknowledge the research funding from Kementerian Riset Dan Teknologi/Badan Riset Dan Inovasi Nasional through Penelitian Dasar Unggulan Perguruan Tinggi (PDUPT) 2021 Nomor: NKB-194/UN2.RST/HKP.05.00/2021. Publisher Copyright: {\textcopyright} 2022 American Institute of Physics Inc.. All rights reserved.; 6th International Symposium of Biomedical Engineering''s Recent Progress in Biomaterials, Drugs Development, and Medical Devices, ISBE 2021 ; Conference date: 07-07-2021 Through 08-07-2021",
year = "2022",
month = aug,
day = "16",
doi = "10.1063/5.0097976",
language = "English",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics Inc.",
editor = "Rahman, {Siti Fauziyah} and Ahmad Zakiyuddin and Yudan Whulanza and Nurul Intan",
booktitle = "6th Biomedical Engineering''s Recent Progress in Biomaterials, Drugs Development, and Medical Devices",
address = "United States",
}