Single-Channel EEG-Based Machine Learning Method for Prescreening Major Depressive Disorder
Zhijiang Wan,
Hao Zhang,
Jiajin Huang,
Haiyan Zhou,
Jie Yang and
Ning Zhong
Additional contact information
Zhijiang Wan: Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi 371-0864, Japan
Hao Zhang: College of Economics and Management, Nanjing Forestry University, Nanjing Jiangsu 210037, P. R. China
Jiajin Huang: College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, P. R. China
Haiyan Zhou: College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, P. R. China
Jie Yang: Beijing Anding Hospital of Capital Medical University, Beijing 100088, P. R. China
Ning Zhong: Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi 371-0864, Japan
International Journal of Information Technology & Decision Making (IJITDM), 2019, vol. 18, issue 05, 1579-1603
Abstract:
Many studies developed the machine learning method for discriminating Major Depressive Disorder (MDD) and normal control based on multi-channel electroencephalogram (EEG) data, less concerned about using single channel EEG collected from forehead scalp to discriminate the MDD. The EEG dataset is collected by the Fp1 and Fp2 electrode of a 32-channel EEG system. The result demonstrates that the classification performance based on the EEG of Fp1 location exceeds the performance based on the EEG of Fp2 location, and shows that single-channel EEG analysis can provide discrimination of MDD at the level of multi-channel EEG analysis. Furthermore, a portable EEG device collecting the signal from Fp1 location is used to collect the second dataset. The Classification and Regression Tree combining genetic algorithm (GA) achieves the highest accuracy of 86.67% based on leave-one-participant-out cross validation, which shows that the single-channel EEG-based machine learning method is promising to support MDD prescreening application.
Keywords: Single channel; EEG; machine learning; major depressive disorder; MDD prescreening (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitdm:v:18:y:2019:i:05:n:s0219622019500342
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DOI: 10.1142/S0219622019500342
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