Next Article in Journal
A Brief Review of Machine Learning Algorithms in Forest Fires Science
Previous Article in Journal
Depth Map Super-Resolution Reconstruction Based on Multi-Channel Progressive Attention Fusion Network
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

An Embedded System Based on Raspberry Pi for Effective Electrocardiogram Monitoring

1
Electronics Engineering Department, Yarmouk University, Irbid P.O. Box 21163, Jordan
2
Biomedical Engineering Department, Yarmouk University, Irbid P.O. Box 21163, Jordan
*
Author to whom correspondence should be addressed.
Appl. Sci. 2023, 13(14), 8273; https://doi.org/10.3390/app13148273
Submission received: 22 June 2023 / Revised: 11 July 2023 / Accepted: 13 July 2023 / Published: 17 July 2023

Abstract

In recent years, there has been a growing demand for affordable and user-friendly medical diagnostic devices due to the rise in global diseases. This study focuses on the development of an embedded system based on Raspberry Pi that enables faster and more efficient monitoring of electrocardiogram (ECG). The incorporation of Raspberry Pi allows for both wireless and wired interfaces, facilitating the creation of an ECG diagnostic embedded system capable of real-time detection and immediate response to any abnormalities in heart functionality. The system presented in this research encompasses a comprehensive electronic circuit comprising analog and digital components to measure and display the ECG signal. Within the analog section, the circuit performs essential signal conditioning tasks, such as signal amplification and noise filtering, ensuring a clean signal within the desired frequency range. The entire system is powered using a power bank. The digital segment incorporates an analog-to-digital converter necessary for converting the received analog signal into a digital format compatible with Raspberry Pi. A graphical liquid-crystal display is utilized to display the measured signal. The device successfully measures ECG signals at various heart rates, capturing all crucial peaks that can be used as indicators of an individual’s health condition. By comparing the signals obtained from healthy individuals with those exhibiting heart arrhythmias, valuable insights can be gained regarding their health status. The proposed system aims to be portable, cost-effective, and user-friendly in different environments.
Keywords: electrocardiogram; heart disease; embedded system; heart rate; Raspberry Pi electrocardiogram; heart disease; embedded system; heart rate; Raspberry Pi

Share and Cite

MDPI and ACS Style

Obeidat, Y.M.; Alqudah, A.M. An Embedded System Based on Raspberry Pi for Effective Electrocardiogram Monitoring. Appl. Sci. 2023, 13, 8273. https://doi.org/10.3390/app13148273

AMA Style

Obeidat YM, Alqudah AM. An Embedded System Based on Raspberry Pi for Effective Electrocardiogram Monitoring. Applied Sciences. 2023; 13(14):8273. https://doi.org/10.3390/app13148273

Chicago/Turabian Style

Obeidat, Yusra M., and Ali M. Alqudah. 2023. "An Embedded System Based on Raspberry Pi for Effective Electrocardiogram Monitoring" Applied Sciences 13, no. 14: 8273. https://doi.org/10.3390/app13148273

APA Style

Obeidat, Y. M., & Alqudah, A. M. (2023). An Embedded System Based on Raspberry Pi for Effective Electrocardiogram Monitoring. Applied Sciences, 13(14), 8273. https://doi.org/10.3390/app13148273

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop