EEG Sinyallerini Kullanarak Basitleştirilmiş İnsan Bilgisayar Arayüzü Tasarımı

Year 2021, , 201 - 210, 30.03.2021

Hakan Üstünel , Selma Büyükgöze , Doğan Ünal , Emre Zengin , İlhan Umut

https://doi.org/10.24012/dumf.803784

Abstract

Beyin Bilgisayar Arayüzleri (BCI), kullanıcıların beynin normal yolları olan kas ve sinir hücrelerini kullanmadan beyin aktivitesindeki değişiklikleri analiz ederek doğrudan harici cihazlarla iletişim kurmalarına ve kontrol etmelerine olanak sağlayan uygulamalardır. BCI'lerin, elektroensefalografi (EEG) cihazları ile ölçülebilen beyin aktivitesinin elektriksel aktivitelerine dayalı olarak insan beyni ile dış dünya arasında alternatif bir iletişim aracı olduğu da söylenebilir. İnsan beyninden ölçülen EEG'de, kişi bir uzvunu hareket ettirmek istediğinde olayla ilişkili potansiyeller EEG'de gözlemlenir. Bu, insan beyninin bilişsel veya hareket karar verme sürecindeki aktivitelerindeki değişiklikler hakkındaki bilgilerin, gözlemlenen EEG'de tespit edilebileceğini göstermektedir. Bu çalışmada, dört kanallı bir EEG kayıt cihazı kullanılarak elde edilen sinyallerin nitelikleri çıkarılmış ve sınıflandırılmıştır. Deneysel çalışma kullanıcı uyanıkken yapıldığından beta sinyallerini işledi. Eserler dikkate alınarak, işlenen veriler çevrimdışı ve çevrimiçi deneme gerçekleştirilerek arayüz için girdi verisi olarak kullanılmıştır. EEG cihazından elde edilen veriler bir bilgisayarda işlendi ve model aracı kontrol etmek için kullanılan bir mikrodenetleyiciye iletildi. Veri iletişimi kablosuz olarak gerçekleştirilir. Model aracın ileri-geri / sağ-sola ve çapraz olarak hareket etmesine izin verilmektedir.

Keywords

Beyin Bilgisayar Arayüzü, Tıbbi Bilişim, Gömülü Sistemler, EEG

Simplified Human Computer Interface Design Using EEG Signals

Abstract

Brain Computer Interfaces (BCI) are applications that allow users to communicate and control external devices directly by analyzing changes in brain activity without using muscle and nerve cells, which are normal pathways of the brain. It can also be said that BCIs are an alternative means of communication between the human brain and the outside world based on the electrical activities of brain activity, which can be measured by electroencephalography (EEG) devices. In the EEG measured from the human brain, when a person wants to move a limb, the potentials associated with the event are observed in the EEG. This suggests that information about changes in the activity of the human brain in the cognitive or movement decision process can be detected in the observed EEG. In this study, the attributes of the signals obtained using a four-channel EEG recorder are extracted and classified. Because the experimental study was performed while the user was awake, it processed beta signals. Considering the artifacts, the processed data was used as input data for the interface by realizing offline and online trial. The data obtained from the EEG device was processed in a computer and transmitted to a microcontroller used to control the model vehicle. Data communication is carried out wirelessly. The model vehicle is allowed to move forward-backward / right-left and diagonally.

Keywords

Brain Computer Interface, Medical Informatics, Embedded Systems, EEG

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