Title | ||
---|---|---|
Classification of alcoholic EEG signals using wavelet scattering transform-based features |
Abstract | ||
---|---|---|
Following the research question and the relevant dataset, feature extraction is the most important component of machine learning and data science pipelines. The wavelet scattering transform (WST) is a recently developed knowledge-based feature extraction technique and is structurally like a convolutional neural network (CNN). It preserves information in high-frequency, is insensitive to signal deformations, and generates low variance fea-tures of real-valued signals generally required in classification tasks. With data from a publicly-available UCI database, we investigated the ability of WST-based features extracted from multichannel electroencephalogram (EEG) signals to discriminate 1.0-s EEG records of 20 male subjects with alcoholism and 20 male healthy sub-jects. Using record-wise 10-fold cross-validation, we found that WST-based features, inputted to a support vector machine (SVM) classifier, were able to correctly classify all alcoholic and normal EEG records. Similar perfor-mances were achieved with 1D CNN. In contrast, the highest independent-subject-wise mean 10-fold cross-validation performance was achieved with WST-based features fed to a linear discriminant (LDA) classifier. The results achieved with two 10-fold cross-validation approaches suggest that the WST together with a con-ventional classifier is an alternative to CNN for classification of alcoholic and normal EEGs. WST-based features from occipital and parietal regions were the most informative at discriminating between alcoholic and normal EEG records. |
Year | DOI | Venue |
---|---|---|
2021 | 10.1016/j.compbiomed.2021.104969 | COMPUTERS IN BIOLOGY AND MEDICINE |
Keywords | DocType | Volume |
Wavelet scattering transform (WST), Feature extraction, Machine learning, Convolutional neural network (CNN), Support vector machine (SVM), Alcoholism | Journal | 139 |
ISSN | Citations | PageRank |
0010-4825 | 0 | 0.34 |
References | Authors | |
0 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Abdul Baseer Buriro | 1 | 0 | 0.34 |
Bilal A. Ahmed | 2 | 61 | 17.20 |
Gulsher Baloch | 3 | 0 | 0.34 |
Junaid Ahmed | 4 | 0 | 0.68 |
Reza Shoorangiz | 5 | 0 | 0.34 |
Stephen J Weddell | 6 | 0 | 0.34 |
Richard D Jones | 7 | 0 | 0.34 |