A classification approach for focal/non-focal EEG detection using cepstral analysis
Yükleniyor...
Tarih
2021
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Dicle Üniversitesi Mühendislik Fakültesi
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Electroencephalogram (EEG) is a convenient neuroimaging technique due to its non-invasive setup,
practical usage, and high temporal resolution. EEG allows to detect brain electrical activity to diagnose
neurological disorders. Epilepsy is a crucial neurologic disorder that is reasoned from occurrence of sudden
and repeated seizures. The goal of this paper is to classify the focal (epileptogenic area) and non-focal
(non-epileptogenic area) EEG records with cepstral coefficients and machine learning algorithms.
Analysis is carried out using publicly available Bern-Barcelona EEG dataset. Mel Frequency Cepstral
Coefficients (MFCC) are calculated from EEG epochs. Feature sets are normalized with z-score and
dimension reduction is realized using Principal Component Analysis. Fine Tree, Quadratic Discriminant
Analysis, Logistic Regression, Gaussian Naïve Bayes, Cubic Support Vector Machine, weighted k-nearest
neighbors, and Bagged Trees are applied for classification stage. A value of k=10 is used for cross
validation. All focal and non-focal EEG pairs are perfectly classified with acc., sen., spe., and F1-score of
100% and AUC with 1 via. Quadratic Discriminant Analysis, Logistic Regression, Cubic SVM and
Weighted k-NN. Proposed work recommends MFCCs as a single marker and this provides less
computation workload, practicality, and direct processing of focal / non-focal EEG time series. Proposed
methodology in this paper serves one of the highest achievements to literature and can assist neurologist
and physicians to validate their diagnosis.
Açıklama
Anahtar Kelimeler
Cepstrum analysis, Classification, EEG, Focal and, Non- focal
Kaynak
Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi
WoS Q Değeri
Scopus Q Değeri
Cilt
12
Sayı
4
Künye
Şeker, D. ve Özerdem, M. S. (2021). A classification approach for focal/non-focal EEG detection using cepstral analysis. Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi, 12(4), 603-613.
