Research Article

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

Volume: 1 Number: 1 December 31, 2020
EN

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

Abstract

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.

Keywords

References

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  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.
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Details

Primary Language

English

Subjects

Artificial Intelligence

Journal Section

Research Article

Authors

Ayşe Nur Ay * This is me
Türkiye

Akın Yiğit Yılmaz This is me
Türkiye

Yaşar Barış Dolukan This is me
Türkiye

Publication Date

December 31, 2020

Submission Date

October 14, 2020

Acceptance Date

November 12, 2020

Published in Issue

Year 2020 Volume: 1 Number: 1

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, and 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 (December 1, 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, and Y. B. Dolukan, “Real-Time Arrhythmia Detection Using NI LabVIEW and Sending Notification via SIM800L GSM Module”, JoinSSR, vol. 1, no. 1, pp. 25–29, Dec. 2020, [Online]. Available: 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 (December 1, 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, et al. “Real-Time Arrhythmia Detection Using NI LabVIEW and Sending Notification via SIM800L GSM Module”. Journal of Smart Systems Research, vol. 1, no. 1, Dec. 2020, pp. 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]. 2020 Dec. 1;1(1):25-9. Available from: https://izlik.org/JA53JL52BM