Biyomedikal Uygulamalar için Çok Noktalı Çok Boyutlu İvmeölçer Veri Kayıt Sistemi

Abstract

Bazı biyomedikal sinyal işleme uygulamaları, özel veri kaydı donanımı gerektirir. Diz ile ilgili non-invaziv teşhis ve çene ile ilgili elektroensefalografi (EEG) bozunum temizleme uygulamaları, eşzamanlı çok kanallı titreşim veri kaydı gerektiren iyi adaylar olacaktır. Bu çalışmada, yeni bir çok noktalı çok boyutlu ivme veri kayıt sistemi önerilmiştir. Bu sistem ivmeölçerler kullanarak aynı anda üç farklı noktadan üç boyutlu eğilim ve titreşim verilerini toplamaktadır. Çok kanallı sinyal analizi, sensör verilerini filtrelemek ve bileşenlerine ayırmak için eşzamanlı veri kayıtları gerektirir. Seçilen ivmeölçer, aynı anda üç eksen veri kaydı gerekliliğini sağlamaktadır. İvmeölçer veri kayıt sistemi, teşhis desteği için dizden ve EEG çene bozunum temizleme desteği için çeneden eğilim ve titreşim verileri elde etmek için kullanılabilir. Diz hareketlerinin titreşimlerini (vibroartrografik (VAG) sinyaller) tespit etmek için diz kapağı ve yan pozisyonlara üç ivmeölçer yerleştirilebilir. Elde edilen VAG sinyalleri, istatiksel veya zaman-frekans analiz teknikleri ile değerlendirilebilir. Ayrıca çene ve boyun hareketlerini kaydetmek için yüze üç adet ivmeölçer yerleştirilmiştir. Eş zamanlı olarak kaydedilen EEG ve çene verileri, istenmeyen boyun ve çene bozunumlarını çıkarmak için filtreleme veya istatistik yöntemler ile daha ileri bir şekilde analiz edilebilir.

Keywords

• İvmeölçerler
• Biyomedikal sinyal işleme
• Elektroensefalografi
• Bağımsız bileşen analizi
• Titreşim ölçümü

Multi-Point Multi-Dimensional Accelerometer Data Logging System for Biomedical Applications

Abstract

Some biomedical signal processing applications require specific data logging hardware. Knee related non-invasive diagnosing and jaw related electroencephalography (EEG) artifact cleaning applications would be good candidates requiring simultaneous multi-channel vibration data logging. In this study, a novel multi-point multi-dimensional accelerometer data logging system was proposed. This system collects three-dimensional tilting and vibration data from three different points simultaneously by using accelerometers. Multi-channel signal analyzing requires simultaneous data recordings for filtering and separating the sensor data into components. The selected accelerometer provides the requirement of simultaneous three axes data recordings. The accelerometer data logging system can be used to obtain tilting and vibration data from knee for diagnosing support and from jaw for EEG jaw artifact cleaning support. Three accelerometers can be placed on kneecap and lateral positions to detect vibrations of knee movements (vibroarthrographic (VAG) signals). The obtained VAG signals can be evaluated by statistical or time-frequency analysis techniques. Also, three accelerometers are placed on face to record jaw and neck movements. Simultaneously recorded EEG and jaw data can be further analyzed by filtering or statistical methods to extract undesired neck and jaw artifacts.

Keywords

• Accelerometers
• Biomedical signal processing
• Electroencephalography
• Independent component analysis
• Vibration measurement

Thanks

The authors thank Prof. Dr. Hasan Havıtçıoğlu on his discussion for the use of the designed system in knee application. The authors thank to the members of Dokuz Eylul University Biophysics Labs for their support for the jaw application. 2006.KB.SAG.017, 2008.KB.SAG.019 and TUBITAK 108S113 projects have been partially utilized.

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