Dynamic time warping based connectivity classification of event-related potentials
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Tarih
2019
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Human brain electrical responses measured as Electroencephalogram epochs have different characteristics by means of amplitude and frequency content depending on the conditions and stimuli. Event-related potentials are the responses given to the stimuli and can be measured using the EEG. The average of these epochs are computed to remove the background activity and helps to exhibit the response to stimuli solely. In the concept of this study, dynamic time warping based connectivity features are used to classify the single-trial ERP epochs. Color Stroop test was implemented and ERP data are collected from 10 subjects. Support vector machine and K-NN classifiers are used and accurate classification results are achieved with the use of DTW metrics.
Açıklama
Medical Technologies Congress (TIPTEKNO) -- OCT 03-05, 2019 -- Izmir, TURKEY
Duru, Adil Deniz/0000-0003-3014-9626
Duru, Adil Deniz/0000-0003-3014-9626
Anahtar Kelimeler
DTW, SVM, KNN, ERP
Kaynak
2019 Medical Technologies Congress (Tiptekno)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
