Effects of Digital Filtering on the Classification Performance of Steady-State Visual Evoked Potential Based Brain-Computer Interfaces

Volkan ÇETİN; Serhat ÖZEKES; Huseyin Selcuk VAROL

doi:https://doi.org/10.17694/bajece.654288

Makale detayları

Effects of Digital Filtering on the Classification Performance of Steady-State Visual Evoked Potential Based Brain-Computer Interfaces

Yazarlar:

Volkan ÇETİN | Serhat ÖZEKES | Huseyin Selcuk VAROL

Yayıncı:

Balkan Yayın

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Balkan Journal of Electrical and Computer Engineering 2020 Vol.8 Issue 1, pp.108-113

Belge Tipi:

Makale

Yayın Tarihi:

1/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000927382

Sıklık:

Üç Aylık

pISSN:

2147-284X

DOI:

https://doi.org/10.17694/bajece.654288

Özet:

 

The electrical activity that occurs during the communication of neurons is recorded by a method called electroencephalography. Brain computer interfaces utilize various electrophysiological sources obtained from different regions of the brain. The electrophysiological source used in this study is the electrical activity seen in the occipital lobes as a result of visual stimuli that flicker at certain frequencies, and is called steady-state visual evoked potential. The main goal in this work is not to try to improve the classification performance but to investigate the effects of different digital filtering algorithms on classification performance. The effects of the high pass and low pass filtering on the classification performance in steady-state visual evoked potential based brain computer interfaces are investigated. As a result of this study, no significant change in the classification performances of designs with only high pass filtering, and high and low pass filtering, has been observed. In addition, it has been observed that only the designs include a high-pass filter implementation give better classification performance in many cases. Consequently, it is concluded that low-pass filtering in steady-state visual evoked potential based brain-computer interfaces does not provide the desired contribution to classification performance.

Makale detayları

Effects of Digital Filtering on the Classification Performance of Steady-State Visual Evoked Potential Based Brain-Computer Interfaces

Yazarlar: Volkan ÇETİN | Serhat ÖZEKES | Huseyin Selcuk VAROL

Yayıncı: Balkan Yayın

Ana Başlıklar: Uygulamalı fizik

Dergi: Balkan Journal of Electrical and Computer Engineering 2020 Vol.8 Issue 1, pp.108-113

Belge Tipi: Makale

Yayın Tarihi: 1/2020

Belge Dili: İngilizce

Document ID (Org No.): 2000927382

Sıklık: Üç Aylık

pISSN: 2147-284X

DOI: https://doi.org/10.17694/bajece.654288

Sayı

Yazarlar:

Volkan ÇETİN | Serhat ÖZEKES | Huseyin Selcuk VAROL

Yayıncı:

Balkan Yayın

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Balkan Journal of Electrical and Computer Engineering 2020 Vol.8 Issue 1, pp.108-113

Belge Tipi:

Makale

Yayın Tarihi:

1/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000927382

Sıklık:

Üç Aylık

pISSN:

2147-284X

DOI:

https://doi.org/10.17694/bajece.654288