Advanced SSVEP stimulator for brain-computer interface and signal classification with using convolutional neural network
[ X ]
Tarih
2019
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Wiley
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Steady-state visual evoked potential, type of electroencephalography (EEG) signal, that is used for brain-computer interface systems are considered in this Letter. Steady-state visual evoked potential stimulator is needed for realising the signal on the scalp. Besides, information transfer rate is the most significant parameter to evaluate overall performance of a brain-computer interface. EEG signal classification methods, task completion time, and signal stimulator structure affect information transfer rate values. In this Letter, the authors aimed to reach a high information transfer rate by using the proposed signal stimulator and classification method that has new architectures. Eight flickering objects that provide 36 different characters to spell were used. This stimuli optimisation prevented the effect of eye fatigue on signal. Therefore, steady-state visual evoked potential was elicited dominantly. Moreover, 1D convolutional neural network for signal classification was proposed in this Letter. Online experimental data was also classified with canonical correlation analysis that is most commonly used in brain-computer interface systems. The authors compared results according to both of the classification methods. They have reached average value of information transfer rate as 50.67 bit/min with the proposed classification method. This result is significantly higher than similar studies.
Açıklama
Anahtar Kelimeler
neural nets, electroencephalography, medical signal processing, brain-computer interfaces, visual evoked potentials, signal classification, convolutional neural network, brain-computer interface systems, classification method, advanced SSVEP stimulator, steady-state visual evoked potential stimulator, EEG signal classification methods, task completion time, signal stimulator structure, information transfer rate values, high information transfer rate
Kaynak
Electronics Letters
WoS Q Değeri
Q4
Scopus Q Değeri
Q3
Cilt
55
Sayı
25
