NI LabVIEW kullanarak EKG sinyallerinin gerçek zamanlı özellik çıkarımı

Year 2017, Volume: 21 Issue: 4, 576 - 583, 01.08.2017

Ayşe Nur Ay Mustafa Zahid Yıldız Barış Boru

https://doi.org/10.16984/saufenbilder.287418

Cited By: 2

Abstract

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.

Keywords

Elektrokardiyogram, Özellik Çıkarımı, NI LabVIEW

Real-time feature extraction of ECG signals using NI LabVIEW

Abstract

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
and statistical analysis. According to the results, the effect of smoking to
the heart rate was discussed.

Keywords

ECG, LabVIEW, Medical Instrumentation

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