title: Performance of epileptic single-channel scalp EEG classifications using single wavelet-based features.
abstract: Classification of epileptic scalp EEGs are certainly ones of the most crucial tasks in diagnosis of epilepsy. Rather than using multiple quantitative features, a single quantitative feature of single-channel scalp EEG is applied for classifying its corresponding state of the brain, i.e., during seizure activity or non-seizure period. The quantitative features proposed are wavelet-based features obtained from the logarithm of variance of detail and approximation coefficients of single-channel scalp EEG signals. The performance on patient-dependent based epileptic seizure classifications using single wavelet-based features are examined on scalp EEG data of 12 children subjects containing 79 seizures. The 4-fold cross validation is applied to evaluate the performance on patient-dependent based epileptic seizure classifications using single wavelet-based features. From the computational results, it is shown that the wavelet-based features can provide an outstanding performance on patient-dependent based epileptic seizure classification. The average accuracy, sensitivity, and specificity of patient-dependent based epileptic seizure classification are, respectively, 93.24%, 83.34%, and 93.53%.
authors.affiliation: Department of Electrical and Electronic Engineering, Ubon Ratchathani University, 85 Sathonlamak Road, Warin Chamrap, Ubon Ratchathani, 34190, Thailand. suparerk.j@ubu.ac.th.
authors.forename: Suparerk
authors.identifier: http://orcid.org/0000-0002-0252-8795
authors.initials: S
authors.lastname: Janjarasjitt
mesh_terms: D000465:Algorithms; D000704:Analysis of Variance; D002648:Child; D002675:Child, Preschool; D004569:Electroencephalography; D004827:Epilepsy / Q000175:diagnosis*; D005260:Female; D006801:Humans; D008297:Male; D012535:Scalp / Q000502:physiology*; D012640:Seizures / Q000175:diagnosis; D012680:Sensitivity and Specificity; D058067:Wavelet Analysis
keywords: Classification; Electroencephalogram; Patient dependent; Seizure; Wavelet transform