Detection of amyotrophic lateral sclerosis disease from event-related potentials using variational mode decomposition method
Küçük Resim Yok
Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Taylor & Francis Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This study, it was aimed to contribute to the literature on Amyotrophic lateral sclerosis (ALS) diagnosis and Brain-Computer Interface (BCI) technologies by analyzing the electroencephalography (EEG) signals obtained as a result of visual stimuli and attention from ALS patients and healthy controls. It was observed that the success rate significantly increased both in the occipital and central regions in all classifiers, especially in the entropy features. The most successful classification was obtained with the Naive Bayes (NB) classifier using the Morphological Features (MF) + Variational Mode Decomposition (VMD) -Entropy features at 88.89% in the occipital region and 94.44% in the central region.
Açıklama
Anahtar Kelimeler
Amyotrophic lateral sclerosis, event-related potentials, variational mode decomposition, brain-computer interface, classification
Kaynak
Computer Methods in Biomechanics and Biomedical Engineering
WoS Q Değeri
Q4
Scopus Q Değeri
Q3
Cilt
25
Sayı
8
