Year 2017, Volume 21 , Issue 4, Pages 576 - 583 2017-08-01

NI LabVIEW kullanarak EKG sinyallerinin gerçek zamanlı özellik çıkarımı
Real-time feature extraction of ECG signals using NI LabVIEW

Ayşe Nur AY [1] , Mustafa Zahid YILDIZ [2] , Barış BORU [3]


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.

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.

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Subjects Engineering, Electrical and Electronic
Published Date Ağustos 2017
Journal Section Research Articles
Authors

Author: Ayşe Nur AY
Institution: SAKARYA UNIV
Country: Turkey


Orcid: orcid.org/0000-0003-1870-288X
Author: Mustafa Zahid YILDIZ
Institution: SAKARYA UNIV
Country: Turkey


Author: Barış BORU
Institution: SAKARYA UNIV
Country: Turkey


Dates

Application Date : January 23, 2017
Acceptance Date : March 13, 2017
Publication Date : August 1, 2017

Bibtex @research article { saufenbilder287418, journal = {Sakarya University Journal of Science}, issn = {1301-4048}, eissn = {2147-835X}, address = {}, publisher = {Sakarya University}, year = {2017}, volume = {21}, pages = {576 - 583}, doi = {10.16984/saufenbilder.287418}, title = {Real-time feature extraction of ECG signals using NI LabVIEW}, key = {cite}, author = {AY, Ayşe Nur and YILDIZ, Mustafa Zahid and BORU, Barış} }
APA AY, A , YILDIZ, M , BORU, B . (2017). Real-time feature extraction of ECG signals using NI LabVIEW. Sakarya University Journal of Science , 21 (4) , 576-583 . DOI: 10.16984/saufenbilder.287418
MLA AY, A , YILDIZ, M , BORU, B . "Real-time feature extraction of ECG signals using NI LabVIEW". Sakarya University Journal of Science 21 (2017 ): 576-583 <http://www.saujs.sakarya.edu.tr/en/issue/26997/287418>
Chicago AY, A , YILDIZ, M , BORU, B . "Real-time feature extraction of ECG signals using NI LabVIEW". Sakarya University Journal of Science 21 (2017 ): 576-583
RIS TY - JOUR T1 - Real-time feature extraction of ECG signals using NI LabVIEW AU - Ayşe Nur AY , Mustafa Zahid YILDIZ , Barış BORU Y1 - 2017 PY - 2017 N1 - doi: 10.16984/saufenbilder.287418 DO - 10.16984/saufenbilder.287418 T2 - Sakarya University Journal of Science JF - Journal JO - JOR SP - 576 EP - 583 VL - 21 IS - 4 SN - 1301-4048-2147-835X M3 - doi: 10.16984/saufenbilder.287418 UR - https://doi.org/10.16984/saufenbilder.287418 Y2 - 2017 ER -
EndNote %0 Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi Real-time feature extraction of ECG signals using NI LabVIEW %A Ayşe Nur AY , Mustafa Zahid YILDIZ , Barış BORU %T Real-time feature extraction of ECG signals using NI LabVIEW %D 2017 %J Sakarya University Journal of Science %P 1301-4048-2147-835X %V 21 %N 4 %R doi: 10.16984/saufenbilder.287418 %U 10.16984/saufenbilder.287418
ISNAD AY, Ayşe Nur , YILDIZ, Mustafa Zahid , BORU, Barış . "Real-time feature extraction of ECG signals using NI LabVIEW". Sakarya University Journal of Science 21 / 4 (August 2017): 576-583 . https://doi.org/10.16984/saufenbilder.287418
AMA AY A , YILDIZ M , BORU B . Real-time feature extraction of ECG signals using NI LabVIEW. SAUJS. 2017; 21(4): 576-583.
Vancouver AY A , YILDIZ M , BORU B . Real-time feature extraction of ECG signals using NI LabVIEW. Sakarya University Journal of Science. 2017; 21(4): 583-576.