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AKILLI SİSTEMLER VE UYGULAMALARI DERGİSİ
JOURNAL OF INTELLIGENT SYSTEMS WITH APPLICATIONS
J. Intell. Syst. Appl.
E-ISSN: 2667-6893
Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.

Investigation of Hunger and Satiety Status During Eyes Open and Closed Using EEG Signals

Gözler Açık ve Kapalı iken Alınan EEG Sinyallerinden Açlık Tokluk Durumunun Tespiti

How to cite: Çetin E, Bilgin G, Bilgin S, Biçer Gömceli Y, Kayıkçı AM. Investigation of hunger and satiety status during eyes open and closed using eeg signals. Akıllı Sistemler ve Uygulamaları Dergisi (Journal of Intelligent Systems with Applications) 2020; 3(1): 35-38. DOI: 10.54856/jiswa.202005105

Full Text: PDF, in English.

Total number of downloads: 390

Title: Investigation of Hunger and Satiety Status During Eyes Open and Closed Using EEG Signals

Abstract: Surface EEG measurements that can be performed in hospitals and laboratories have reached a wearable and portable level with the development of today's technologies. Artificial intelligence-assisted brain-computer interface (BCI) systems play an important role in individuals with disabilities to process EEG signals and interact with the outside world. In particular, the research is becoming widespread to meet the basic needs of individuals in need of home care with an increasing population. In this study, it is aimed to design the BCI system that will detect the hunger and satiety status of the people on the computer platform through EEG measurements. In this context, a database was created by recording EEG signals with eyes open and eyes closed by 20 healthy participants in the first stage of the study. The noise of the EEG signal is eliminated by using a low pass, high pass, and notch filters. In the classification, using Wavelet Packet Transform (WPT) with Coiflet 1 and Daubechies 4 wavelets, 77.50% accuracy was achieved in eyes closed measurement, and 81% in eyes open measurement.

Keywords: EEG; wavelet packet transform; linear discriminant analysis


Başlık: Gözler Açık ve Kapalı iken Alınan EEG Sinyallerinden Açlık Tokluk Durumunun Tespiti

Özet: Hastanelerde ve laboratuvarlarda gerçekleştirilebilen yüzeysel EEG ölçümleri günümüz teknolojilerinin gelişmesiyle giyilebilir ve taşınabilir düzeye ulaşmıştır. Yapay zeka destekli beyin bilgisayar arayüzü (BCI) sistemleri engeli olan bireylerin EEG sinyallerinin işlenmesi ile dış dünyayla etkileşimde bulunmasında önemli rol oynamaktadır. Özellikle artan nüfusla evde bakım ihtiyacı olan bireylerin temel ihtiyaçlarının karşılanmasına yönelik araştırmalar yaygınlaşmaktadır. Bu çalışmada, EEG ölçümleri üzerinden kişilerin açlık ve tokluk durumunu bilgisayar ortamında tespit edecek BCI sisteminin tasarlanması amaçlanmıştır. Bu kapsamda, çalışmanın ilk aşamasında 20 sağlıklı katılımcının gözler açık, gözler kapalı EEG sinyalleri kaydedilerek veri tabanı oluşturulmuştur. Alçak geçiren, yüksek geçiren ve çentik filtreler kullanılarak EEG sinyalleri gürültüden arındırılmıştır. Sınıflandırma aşamasında, Coiflet 1 ve Daubechies 4 dalgacıklarıyla Dalgacık Paket Dönüşümü (WPT) kullanılarak gözler kapalı ölçümde %77,50, gözler açık ölçümde %81 doğruluğa erişilmiştir.

Anahtar kelimeler: EEG; dalgacık paket dönüşümü; doğrusal ayraç analizi


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