Second Generation Current Controlled Current Conveyor Based Low Pass Filter Design For The Processing of EEG Signals

Kübra Tekin; Hasan Güler

Makale detayları

Second Generation Current Controlled Current Conveyor Based Low Pass Filter Design For The Processing of EEG Signals

Yazarlar:

Kübra Tekin | Hasan Güler

Yayıncı:

Fırat University

Ana Başlıklar:

Electronics

Dergi:

Turkish Journal of Science and Technology Vol.18 Issue 2, pp.405-413

Belge Tipi:

Makale

Yayın Tarihi:

1/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001290392

pISSN:

1308-9080

Anahtar kelimeler:

Özet:

 EEG signals are noisy signals that allow brain activity to be analyzed. In recent years, it has been seen that current conveyor-based circuits, which have many advantages such as wide bandwidth, high linearity, low power consumption, have been used instead of operational amplifiers in the analysis of these signals. In this study, a second-generation current controlled current conveyor CCCII low pass filter circuit with a cut-off frequency of 100 Hz has been presented for the analysis of EEG signals. The simulation of the circuit was carried out with the Orcad pspice program. In addition, the application circuit of this low-pass filter circuit has been made and oscilloscope images have been obtained for some frequency values. AD844 IC is used as current conveyor in the application circuit. The data of epilepsy patients and normal people taken from the University of Bonn were applied to the CCCII low pass filter circuit and the frequency bands of these signals were examined. It has been predicted that if this CCCII low pass filter circuit is used in EEG measurements, it will give good results in the diagnosis of neurological diseases such as epilepsy.

 EEG signals are noisy signals that allow brain activity to be analyzed. In recent years, it has been seen that current conveyor-based circuits, which have many advantages such as wide bandwidth, high linearity, low power consumption, have been used instead of operational amplifiers in the analysis of these signals. In this study, a second-generation current controlled current conveyor CCCII low pass filter circuit with a cut-off frequency of 100 Hz has been presented for the analysis of EEG signals. The simulation of the circuit was carried out with the Orcad pspice program. In addition, the application circuit of this low-pass filter circuit has been made and oscilloscope images have been obtained for some frequency values. AD844 IC is used as current conveyor in the application circuit. The data of epilepsy patients and normal people taken from the University of Bonn were applied to the CCCII low pass filter circuit and the frequency bands of these signals were examined. It has been predicted that if this CCCII low pass filter circuit is used in EEG measurements, it will give good results in the diagnosis of neurological diseases such as epilepsy.

 EEG signals are noisy signals that allow brain activity to be analyzed. In recent years, it has been seen that current conveyor-based circuits, which have many advantages such as wide bandwidth, high linearity, low power consumption, have been used instead of operational amplifiers in the analysis of these signals. In this study, a second-generation current controlled current conveyor CCCII low pass filter circuit with a cut-off frequency of 100 Hz has been presented for the analysis of EEG signals. The simulation of the circuit was carried out with the Orcad pspice program. In addition, the application circuit of this low-pass filter circuit has been made and oscilloscope images have been obtained for some frequency values. AD844 IC is used as current conveyor in the application circuit. The data of epilepsy patients and normal people taken from the University of Bonn were applied to the CCCII low pass filter circuit and the frequency bands of these signals were examined. It has been predicted that if this CCCII low pass filter circuit is used in EEG measurements, it will give good results in the diagnosis of neurological diseases such as epilepsy.

 EEG sinyalleri, beyin aktvitesinin analiz edilmesini sağlayan gürültülü sinyallerdir. Son yıllarda, bu sinyallerin analizinde işlemsel yükselteçlerin yerine geniş bant aralığı, yüksek doğrusallık, düşük güç tüketimi gibi birçok avantaj sahip olan akım taşıyıcı tabanlı devrelerin kullanıldığı görülmüştür. Bu çalışmada EEG sinyallerinin analizi için 100 Hz kesim frekansına sahip bir ikinci nesil akım kontrollü akım taşıyıcı CCCII alçak geçiren filtre devresi sunulmuştur. Devrenin benzetimi Orcad pspice programı ile gerçekleştirilmiştir. Ayrıca bu alçak geçiren filtre devresinin uygulama devresi yapılmış ve bazı frekans değerleri için osiloskop görüntüleri elde edilmiştir. Uygulama devresinde akım taşıyıcı olarak AD844 IC kullanılmıştır. CCCII alçak geçiren filtre devresine, Bonn Üniversitesinden alınan epilepsi hastası ve normal kişilere ait veriler uygulanmış ve bu sinyallerin frekans bantları incelenmiştir. Bu CCCII alçak geçiren filtre devresinin EEG ölçümlerinde kullanılması durumunda epilepsi gibi nörolojik hastalıkların tanısında iyi sonuçlar vereceği öngörülmüştür.

Makale detayları

Second Generation Current Controlled Current Conveyor Based Low Pass Filter Design For The Processing of EEG Signals

Yazarlar:

Kübra Tekin | Hasan Güler

Yayıncı:

Fırat University

Ana Başlıklar:

Electronics

Dergi:

Turkish Journal of Science and Technology Vol.18 Issue 2, pp.405-413

Belge Tipi:

Makale

Yayın Tarihi:

1/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001290392

pISSN:

1308-9080

Current conveyor

EEG

Active filter

PspiceCurrent conveyor

EEG

Active filter

Pspice

Sayı

Makale detayları

Yazarlar: Kübra Tekin | Hasan Güler

Yayıncı: Fırat University

Ana Başlıklar: Electronics

Dergi: Turkish Journal of Science and Technology Vol.18 Issue 2, pp.405-413

Belge Tipi: Makale

Yayın Tarihi: 1/2023

Belge Dili: İngilizce

Document ID (Org No.): 2001290392

pISSN: 1308-9080

Sayı

Yazarlar:

Kübra Tekin | Hasan Güler

Yayıncı:

Fırat University

Ana Başlıklar:

Electronics

Dergi:

Turkish Journal of Science and Technology Vol.18 Issue 2, pp.405-413

Belge Tipi:

Makale

Yayın Tarihi:

1/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001290392

pISSN:

1308-9080