Key result
A Raspberry Pi-based embedded system successfully measured ECG signals at various heart rates, capturing crucial peaks to differentiate healthy individuals from those with heart arrhythmias.
Why the study?
There has been a growing demand for affordable and user-friendly medical diagnostic devices due to the rise in global diseases.
A portable, cost-effective Raspberry Pi-based embedded system was successfully developed to measure and display ECG signals for real-time monitoring.
Answers are grounded in this paper and cite their sources.
May facilitate low-cost ECG monitoring; hypothesis-generating and requires clinical validation before practice change.
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.
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Obeidat et al. (2023) studied Heart arrhythmias. Raspberry Pi-based embedded system for ECG monitoring was evaluated on Measurement of ECG signals at various heart rates. A Raspberry Pi-based embedded system successfully measured ECG signals at various heart rates, capturing crucial peaks to differentiate healthy individuals from those with heart arrhythmias.
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