Comparison of Spectral and Template Matching Features for SSVEPBCI Target Frequency Classification

kaya, ibrahim

Comparison of Spectral and Template Matching Features for SSVEPBCI Target Frequency Classification

İbrahim KAYA (İzmir Katip Çelebi Üniversitesi, Biyomedikal Mühendisliği Bölümü, İzmir, Türkiye)

International Journal of Intelligent Systems and Applications in Engineering

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Yıl: 2021 Cilt: 9 Sayı: 2 Sayfa Aralığı: 64 - 68 Metin Dili: İngilizce İndeks Tarihi: 18-10-2021

Comparison of Spectral and Template Matching Features for SSVEPBCI Target Frequency Classification

Öz:

Brain-computer interfaces (BCI) provide new communication and control channels to restore and support these functions of the restricted users. Among these Visual Evoked Potential (VEP) based BCIs are the most promising in terms of ease of use and performance. The frequency following phenomenon of VEPs produce Steady State Visual Evoked Potentials (SSVEP) at the frequencyof stimulation of the human visual system. In such interface systems, each target is encoded with a particular stimulation frequency and phase. In communication purpose speller interfaces each target flickers a letter or character with a particular stimulation frequency and phase. The detection of the focused target by the computer is required. In this process, classification methods and feature extraction method play critical roles. This study used a publicly available benchmark dataset of a 40 target SSVEP BCI. In the analysis, two feature vectors are obtained from power spectrum parameters and one from stimulus template matching correlation coefficients. The performance of the three classification methods, namely Fine Tree, Linear Discriminant Analysis (LDA) and K-Nearest Neighbors(KNN), are compared using these feature vectors. Spectral features performed better than the template matching features. Especially the feature vector of the target frequency signal ratio (TFSR) to the total stimulation band energy features provided better accuracy values.LDA and KNN performed better than decision tree in classification.

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APA	kaya i (2021). Comparison of Spectral and Template Matching Features for SSVEPBCI Target Frequency Classification. , 64 - 68.
Chicago	kaya ibrahim Comparison of Spectral and Template Matching Features for SSVEPBCI Target Frequency Classification. (2021): 64 - 68.
MLA	kaya ibrahim Comparison of Spectral and Template Matching Features for SSVEPBCI Target Frequency Classification. , 2021, ss.64 - 68.
AMA	kaya i Comparison of Spectral and Template Matching Features for SSVEPBCI Target Frequency Classification. . 2021; 64 - 68.
Vancouver	kaya i Comparison of Spectral and Template Matching Features for SSVEPBCI Target Frequency Classification. . 2021; 64 - 68.
IEEE	kaya i "Comparison of Spectral and Template Matching Features for SSVEPBCI Target Frequency Classification." , ss.64 - 68, 2021.
ISNAD	kaya, ibrahim. "Comparison of Spectral and Template Matching Features for SSVEPBCI Target Frequency Classification". (2021), 64-68.

APA	kaya i (2021). Comparison of Spectral and Template Matching Features for SSVEPBCI Target Frequency Classification. International Journal of Intelligent Systems and Applications in Engineering, 9(2), 64 - 68.
Chicago	kaya ibrahim Comparison of Spectral and Template Matching Features for SSVEPBCI Target Frequency Classification. International Journal of Intelligent Systems and Applications in Engineering 9, no.2 (2021): 64 - 68.
MLA	kaya ibrahim Comparison of Spectral and Template Matching Features for SSVEPBCI Target Frequency Classification. International Journal of Intelligent Systems and Applications in Engineering, vol.9, no.2, 2021, ss.64 - 68.
AMA	kaya i Comparison of Spectral and Template Matching Features for SSVEPBCI Target Frequency Classification. International Journal of Intelligent Systems and Applications in Engineering. 2021; 9(2): 64 - 68.
Vancouver	kaya i Comparison of Spectral and Template Matching Features for SSVEPBCI Target Frequency Classification. International Journal of Intelligent Systems and Applications in Engineering. 2021; 9(2): 64 - 68.
IEEE	kaya i "Comparison of Spectral and Template Matching Features for SSVEPBCI Target Frequency Classification." International Journal of Intelligent Systems and Applications in Engineering, 9, ss.64 - 68, 2021.
ISNAD	kaya, ibrahim. "Comparison of Spectral and Template Matching Features for SSVEPBCI Target Frequency Classification". International Journal of Intelligent Systems and Applications in Engineering 9/2 (2021), 64-68.