Application of Hjorth parameters in the classification of healthy aging EEG signals
Aging has extensive impacts on brain cognition. In this work we proposed a method using Hjorth parameters to classify the elderly’s electroencephalography (EEG) signals from that of middle age group by applying K-nearest neighbor (KNN) and Random forest (RF) classifiers. We acquired EEG of 20 heal...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Prince of Songkla University
2021-12-01
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| Series: | Songklanakarin Journal of Science and Technology (SJST) |
| Subjects: | |
| Online Access: | https://rdo.psu.ac.th/sjst/journal/43-6/37.pdf |