Design and implementation of ECG signal extraction and processing system for the diagnosis of cardiac arrhythmia
الموضوعات : Majlesi Journal of Telecommunication Devices
Ilghar Rezaei
1
(Department of Electrical Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran)
Arash Kalami
2
(Department of Electrical Engineering, Urmia Branch, Islamic Azad University, Urmia, Ira)
الکلمات المفتاحية: Android, HEART, eCG, Hardware, Evaluation,
ملخص المقالة :
The main purpose of this article is to design a hardware and an Android application to diagnose cardiac arrhythmia at the lowest cost. In this method, the electrical signals of the heartbeat, which is the so-called ECG, are observed, and also the software has the ability to process the signals and diagnose several types of heart disease, including arrhythmia. ECG devices are very expensive and are always available in specialized laboratories and hospitals, but by designing and manufacturing this device, a person can easily take an ECG at home or anywhere, and the software acts like a doctor. And report being healthy or showing signs of illness. The proposed scheme accurately identifies an arrhythmia.
[1]S. S. Virani et al., "Heart disease and stroke statistics—2021 update: a report from the American Heart Association," Circulation, vol. 143, no. 8, pp. e254-e743, 2021.
[2]M. Schwerzmann et al., "Clinical outcome of COVID-19 in patients with adult congenital heart disease," Heart, 2021.
[3]A. Raftarai, R. R. Mahounaki, M. Harouni, M. Karimi, and S. K. Olghoran, "Predictive Models of Hospital Readmission Rate Using the Improved AdaBoost in COVID-19," in Intelligent Computing Applications for COVID-19: CRC Press, 2021, pp. 67-86.
[4]M. Karimi, M. Harouni, A. Nasr, and N. Tavakoli, "Automatic Lung Infection Segmentation of Covid-19 in CT Scan Images," in Intelligent Computing Applications for COVID-19: CRC Press, 2021, pp. 235-253.
[5]Y. Maithani, B. Choudhuri, B. Mehta, and J. Singh, "Self-adhesive, Stretchable, and Dry Silver Nanorods Embedded Polydimethylsiloxane Biopotential Electrodes for Electrocardiography," Sensors and Actuators A: Physical, p. 113068, 2021.
[6]J. M. Warnecke, J. Wang, T. Cakir, N. Spicher, N. Ganapathy, and T. M. Deserno, "Registered report protocol: Developing an artifact index for capacitive electrocardiography signals acquired with an armchair," Plos one, vol. 16, no. 7, p. e0254780, 2021.
[7]Y. Beyenne, "Flexible Wireless ECG Monitoring Device," 2021.
[8]M. Harouni, M. Karimi, and S. Rafieipour, "Precise Segmentation Techniques in Various Medical Images," Artificial Intelligence and Internet of Things: Applications in Smart Healthcare, p. 117, 2021.
[9]M. Shao, Z. Zhou, G. Bin, Y. Bai, and S. Wu, "A wearable electrocardiogram telemonitoring system for atrial fibrillation detection," Sensors, vol. 20, no. 3, p. 606, 2020.
[10]R. Roy, "Medical Applications of Artificial Intelligence," 2021.
