Araştırma Makalesi

Real-Time Arrhythmia Detection Using NI LabVIEW and Sending Notification via SIM800L GSM Module

Cilt: 1 Sayı: 1 31 Aralık 2020
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Real-Time Arrhythmia Detection Using NI LabVIEW and Sending Notification via SIM800L GSM Module

Öz

It is well-known that in case of cardiovascular diseases an early diagnosis is one of the vital role to prevent the deaths. Although there are many devices and applications to diagnose the diseases, most of them are either too expensive or an expert is required to use it. The aim of the current study is measuring the Electrocardiogram (ECG) signals from the human-body in real-time, processing these signals simultaneously via LabVIEW and by calculating heart rate of a patient using Teager Energy method, detecting tachycardia and bradycardia arrhythmias. Therefore, using an Arduino UNO and SIM800L GSM module, the information of a patient regarding abnormality of his/her heart beats could be sent to a his/her relative or a doctor. With this new low cost and simple application, an arrythmia could be immediately detected and one can intervene the patient on time.

Anahtar Kelimeler

Kaynakça

  1. [1] W. H. Federation, Global Atlas on Cardiovascular disease prevention and control, 2011.
  2. [2] T. Padma, M. M. Latha and A. Ahmed, "ECG comparison and labview implementation.," Journal of Biomedical Science and Engineering, vol. 2, no. 3, pp. 177-183, 2009.
  3. [3] I. A. AL-QARAGHULI, Labview based simulation and automatic analysis of ECG signals using FPGA, University of turkish aeronaurical association, 2017.
  4. [4] M. Muruggapan, R. Thirumani, M. I. Omar and S. Murugappan, "Development of cost effective ECG data Acquisiton system for clinical applications," in IEEE 10th International Colloquium on Signal Processing& its Applications (CSPA2014), 2014.
  5. [5] S. N. Ilker, Ekg sinyalleri için aritmi sezimi ve mobil ağlar üzerinden iletim., İstanbul: Istanbul University, 2018.
  6. [6] P. Kanani and M. Padole, "Recognizing Real Time ECG Anomalies Using Arduino, AD8232 and Java," in International Conference on Advances in Computing and Data Sciences, Singapore, 2018.
  7. [7] A. R. Satani, D. R. Damodar and B. R. Satani, "Heart arrhythmia detection using labview GUI based approach," International Journal of Advanced Technology and Engineering Exploration, vol. 5, no. 48, 2018.
  8. [8] N. Ahmed and Y. Zhu, "Early Detection of Atrial Fibrillation Based on ECG Signals," Bioengineering, vol. 7, no. 1, p. 16, 2020.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Yapay Zeka

Bölüm

Araştırma Makalesi

Yazarlar

Ayşe Nur Ay * Bu kişi benim
Türkiye

Akın Yiğit Yılmaz Bu kişi benim
Türkiye

Yaşar Barış Dolukan Bu kişi benim
Türkiye

Yayımlanma Tarihi

31 Aralık 2020

Gönderilme Tarihi

14 Ekim 2020

Kabul Tarihi

12 Kasım 2020

Yayımlandığı Sayı

Yıl 2020 Cilt: 1 Sayı: 1

Kaynak Göster

APA
Ay, A. N., Yuksel, E. E., Yılmaz, A. Y., & Dolukan, Y. B. (2020). Real-Time Arrhythmia Detection Using NI LabVIEW and Sending Notification via SIM800L GSM Module. Journal of Smart Systems Research, 1(1), 25-29. https://izlik.org/JA53JL52BM
AMA
1.Ay AN, Yuksel EE, Yılmaz AY, Dolukan YB. Real-Time Arrhythmia Detection Using NI LabVIEW and Sending Notification via SIM800L GSM Module. JoinSSR. 2020;1(1):25-29. https://izlik.org/JA53JL52BM
Chicago
Ay, Ayşe Nur, Esat Egemen Yuksel, Akın Yiğit Yılmaz, ve Yaşar Barış Dolukan. 2020. “Real-Time Arrhythmia Detection Using NI LabVIEW and Sending Notification via SIM800L GSM Module”. Journal of Smart Systems Research 1 (1): 25-29. https://izlik.org/JA53JL52BM.
EndNote
Ay AN, Yuksel EE, Yılmaz AY, Dolukan YB (01 Aralık 2020) Real-Time Arrhythmia Detection Using NI LabVIEW and Sending Notification via SIM800L GSM Module. Journal of Smart Systems Research 1 1 25–29.
IEEE
[1]A. N. Ay, E. E. Yuksel, A. Y. Yılmaz, ve Y. B. Dolukan, “Real-Time Arrhythmia Detection Using NI LabVIEW and Sending Notification via SIM800L GSM Module”, JoinSSR, c. 1, sy 1, ss. 25–29, Ara. 2020, [çevrimiçi]. Erişim adresi: https://izlik.org/JA53JL52BM
ISNAD
Ay, Ayşe Nur - Yuksel, Esat Egemen - Yılmaz, Akın Yiğit - Dolukan, Yaşar Barış. “Real-Time Arrhythmia Detection Using NI LabVIEW and Sending Notification via SIM800L GSM Module”. Journal of Smart Systems Research 1/1 (01 Aralık 2020): 25-29. https://izlik.org/JA53JL52BM.
JAMA
1.Ay AN, Yuksel EE, Yılmaz AY, Dolukan YB. Real-Time Arrhythmia Detection Using NI LabVIEW and Sending Notification via SIM800L GSM Module. JoinSSR. 2020;1:25–29.
MLA
Ay, Ayşe Nur, vd. “Real-Time Arrhythmia Detection Using NI LabVIEW and Sending Notification via SIM800L GSM Module”. Journal of Smart Systems Research, c. 1, sy 1, Aralık 2020, ss. 25-29, https://izlik.org/JA53JL52BM.
Vancouver
1.Ayşe Nur Ay, Esat Egemen Yuksel, Akın Yiğit Yılmaz, Yaşar Barış Dolukan. Real-Time Arrhythmia Detection Using NI LabVIEW and Sending Notification via SIM800L GSM Module. JoinSSR [Internet]. 01 Aralık 2020;1(1):25-9. Erişim adresi: https://izlik.org/JA53JL52BM