Automated elimination of EOG artifacts in sleep EEG using regression method

YOSUNKAYA, Şebnem; OZSEN, Seral; DURSUN, Mehmet; Akdemir, Bayram; GÜNEŞ, Salih

doi:10.3906/elk-1809-180

Automated elimination of EOG artifacts in sleep EEG using regression method

Mehmet DURSUN, (Ankara Üniversitesi)

Seral OZSEN, (Konya Teknik Üniversitesi)

Salih GÜNEŞ, (Konya Teknik Üniversitesi)

Bayram AKDEMİR, (Konya Teknik Üniversitesi)

Şebnem YOSUNKAYA (Necmettin Erbakan Üniversitesi)

Turkish Journal of Electrical Engineering and Computer Sciences

5 0

Yıl: 2019 Cilt: 27 Sayı: 2 Sayfa Aralığı: 1094 - 1108 Metin Dili: İngilizce DOI: 10.3906/elk-1809-180 İndeks Tarihi: 13-05-2020

Automated elimination of EOG artifacts in sleep EEG using regression method

Öz:

Sleep electroencephalogram (EEG) signal is an important clinical tool for automatic sleep staging process.Sleep EEG signal is effected by artifacts and other biological signal sources, such as electrooculogram (EOG) andelectromyogram (EMG), and since it is effected, its clinical utility reduces. Therefore, eliminating EOG artifacts from sleep EEG signal is a major challenge for automatic sleep staging. We have studied the effects of EOG signals on sleep EEG and tried to remove them from the EEG signals by using regression method. The EEG and EOG recordings of seven subjects were obtained from the Sleep Research Laboratory of Meram Medicine Faculty of Necmettin Erbakan University. A dataset consisting of 58 h and 6941 epochs was used in the research. Then, in order to see the consequences of this process, we classified pure sleep EEG and artifact-eliminated EEG signals with artificial neural networks (ANN). The results showed that elimination of EOG artifacts raised the classification accuracy on each subject at a range of 1%– 1.5%. However, this increase was obtained for a single parameter. This can be regarded as an important improvement if the whole system is considered. However, different artifact elimination strategies combined with different classification methods for another sleep EEG artifact may give higher accuracy differences between original and purified signals.

Anahtar Kelime:

Konular: Mühendislik, Elektrik ve Elektronik Bilgisayar Bilimleri, Yazılım Mühendisliği Bilgisayar Bilimleri, Sibernitik Bilgisayar Bilimleri, Bilgi Sistemleri Bilgisayar Bilimleri, Donanım ve Mimari Bilgisayar Bilimleri, Teori ve Metotlar Bilgisayar Bilimleri, Yapay Zeka

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık

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APA	DURSUN M, OZSEN S, GÜNEŞ S, Akdemir B, YOSUNKAYA Ş (2019). Automated elimination of EOG artifacts in sleep EEG using regression method. , 1094 - 1108. 10.3906/elk-1809-180
Chicago	DURSUN Mehmet,OZSEN Seral,GÜNEŞ Salih,Akdemir Bayram,YOSUNKAYA Şebnem Automated elimination of EOG artifacts in sleep EEG using regression method. (2019): 1094 - 1108. 10.3906/elk-1809-180
MLA	DURSUN Mehmet,OZSEN Seral,GÜNEŞ Salih,Akdemir Bayram,YOSUNKAYA Şebnem Automated elimination of EOG artifacts in sleep EEG using regression method. , 2019, ss.1094 - 1108. 10.3906/elk-1809-180
AMA	DURSUN M,OZSEN S,GÜNEŞ S,Akdemir B,YOSUNKAYA Ş Automated elimination of EOG artifacts in sleep EEG using regression method. . 2019; 1094 - 1108. 10.3906/elk-1809-180
Vancouver	DURSUN M,OZSEN S,GÜNEŞ S,Akdemir B,YOSUNKAYA Ş Automated elimination of EOG artifacts in sleep EEG using regression method. . 2019; 1094 - 1108. 10.3906/elk-1809-180
IEEE	DURSUN M,OZSEN S,GÜNEŞ S,Akdemir B,YOSUNKAYA Ş "Automated elimination of EOG artifacts in sleep EEG using regression method." , ss.1094 - 1108, 2019. 10.3906/elk-1809-180
ISNAD	DURSUN, Mehmet vd. "Automated elimination of EOG artifacts in sleep EEG using regression method". (2019), 1094-1108. https://doi.org/10.3906/elk-1809-180

APA	DURSUN M, OZSEN S, GÜNEŞ S, Akdemir B, YOSUNKAYA Ş (2019). Automated elimination of EOG artifacts in sleep EEG using regression method. Turkish Journal of Electrical Engineering and Computer Sciences, 27(2), 1094 - 1108. 10.3906/elk-1809-180
Chicago	DURSUN Mehmet,OZSEN Seral,GÜNEŞ Salih,Akdemir Bayram,YOSUNKAYA Şebnem Automated elimination of EOG artifacts in sleep EEG using regression method. Turkish Journal of Electrical Engineering and Computer Sciences 27, no.2 (2019): 1094 - 1108. 10.3906/elk-1809-180
MLA	DURSUN Mehmet,OZSEN Seral,GÜNEŞ Salih,Akdemir Bayram,YOSUNKAYA Şebnem Automated elimination of EOG artifacts in sleep EEG using regression method. Turkish Journal of Electrical Engineering and Computer Sciences, vol.27, no.2, 2019, ss.1094 - 1108. 10.3906/elk-1809-180
AMA	DURSUN M,OZSEN S,GÜNEŞ S,Akdemir B,YOSUNKAYA Ş Automated elimination of EOG artifacts in sleep EEG using regression method. Turkish Journal of Electrical Engineering and Computer Sciences. 2019; 27(2): 1094 - 1108. 10.3906/elk-1809-180
Vancouver	DURSUN M,OZSEN S,GÜNEŞ S,Akdemir B,YOSUNKAYA Ş Automated elimination of EOG artifacts in sleep EEG using regression method. Turkish Journal of Electrical Engineering and Computer Sciences. 2019; 27(2): 1094 - 1108. 10.3906/elk-1809-180
IEEE	DURSUN M,OZSEN S,GÜNEŞ S,Akdemir B,YOSUNKAYA Ş "Automated elimination of EOG artifacts in sleep EEG using regression method." Turkish Journal of Electrical Engineering and Computer Sciences, 27, ss.1094 - 1108, 2019. 10.3906/elk-1809-180
ISNAD	DURSUN, Mehmet vd. "Automated elimination of EOG artifacts in sleep EEG using regression method". Turkish Journal of Electrical Engineering and Computer Sciences 27/2 (2019), 1094-1108. https://doi.org/10.3906/elk-1809-180