AYŞE NUR AY, MUSTAFA ZAHİD YILDIZ, Barış BORU

Real-time feature extraction of ECG signals using NI LabVIEW

This study is based on measuring the Electrocardiogram (ECG) signals from the human body in real-time with the help of the software called NI LabVIEW. Not only the raw ECG signals, the digital filtered version of the ECG signals can also be displayed in real-time by processing the signals using the digital filtering tools of the program. The ECG itself provides various diagnostic information and NI LabVIEW biomedical toolkit offers many tools that helps to process the signals and perform feature extraction. Thus, this software was preferred for the ECG data acquisition. In this project, heart rate of a patient is calculated by detecting R-R intervals on the ECG tracing using the method called Teager Energy. In order to test the system, several experiments have been conducted with 12 subjects (6 non-smokers + 6 smokers). Their ECG signals were taken in relaxed and after running conditions. The experimental results were recorded for the graphical aReal-time feature extraction of ECG signals using NI LabVIEWReal-time feature extraction of ECG signals using NI LabVIEWvnd statistical analysis. According to the results, the effect of smoking to the heart rate was discussed.

NI LabVIEW kullanarak EKG sinyallerinin gerçek zamanlı özellik çıkarımı

Bu proje, NI LabVIEW programı sayesinde insan vücudundan gerçek zamanlı elektrokardiyogram (EKG) ölçümüne dayanır.Sadece ham sinyaller değil, programın filtreleme toolları sayesinde dijital filtrelenmiş EKG de gerçek zamanlı görülebilir. EKG sinyalinin kendisi birçok diagnostik bilgi içerir. NI LabVIEW biomedical toolkit, biyomedikal sinyalleri işleme ve özellik çıkarımı için birçok tool barındırır. Bu nedenle, EKG verilerini almak için bu program tercih edilmiştir. Bu çalışmada, EKG sinyali üzerinden R-R dalgaları tespit edilerek hastaların kalp atış hızı Teager enerji metodu ile hesaplanmıştır. Bu sistemi test etmek için 12 kişi üzerinde birtakım deneyler yapılmıştır (6 sigara içmeyen + 6 sigara içen). Deneye katılan insanlarin dinlenme halindeki ve koştuktan sonraki EKG dataları ölçülmüştür. Bu deneylerin sonuçları grafiksel ve istatistiksel analizler için kaydedilmiştir. Bu sonuçlara göre sigara içmenin kalp atış hızına etkisi tartışılmıştır.

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