Design of ECG Circuit and Patient Remote Monitoring System Using MQTT Protocol for ECG Signals

In the healthcare sector, leveraging the Internet of Things (IoT) brings significant advantages, especially in remote monitoring of patients' health using electrocardiogram (ECG) signals. This study employs IoT technology to enable remote ECG monitoring, utilizing the MQTT (Message Queuing Telemetry Transport) protocol to establish a web server. The dedicated measuring device integrates the ADAS1000-3 IC with ESP32 for real-time ECG signal acquisition. In this study, we utilize the Pan-Tompkins algorithm to extract QRS complexes from electrocardiographic signals, count heartbeats, and early detect cardiovascular abnormalities. This solution was tested on a sample dataset from the MIT-BIH (Massachusetts Institute of Technology - Beth Israel Deaconess Medical Center) database. Finally, the article proposes to design and develop a device using advanced IC technologies such as IC ADAS1000-3 combined with ESP32. This device will be designed to meet the requirements of real-time processing and data transmission via webserver.

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Publication Details

Journal
Journal of basic and applied research international
Published
2024-09-01
DOI
https://doi.org/10.56557/jobari/2024/v30i48836
Citations
1
Primary Topic
ECG Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
0.40
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Design of ECG Circuit and Patient Remote Monitoring System Using MQTT Protocol for ECG Signals

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Journal of basic and applied research international
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article

Design of ECG Circuit and Patient Remote Monitoring System Using MQTT Protocol for ECG Signals

Alberto Coboi, Pham Duy Thai, Van-Nam Pham, Lai Gia Vien, Do Dinh Nam
article en
1 citations

Abstract

In the healthcare sector, leveraging the Internet of Things (IoT) brings significant advantages, especially in remote monitoring of patients' health using electrocardiogram (ECG) signals. This study employs IoT technology to enable remote ECG monitoring, utilizing the MQTT (Message Queuing Telemetry Transport) protocol to establish a web server. The dedicated measuring device integrates the ADAS1000-3 IC with ESP32 for real-time ECG signal acquisition. In this study, we utilize the Pan-Tompkins algorithm to extract QRS complexes from electrocardiographic signals, count heartbeats, and early detect cardiovascular abnormalities. This solution was tested on a sample dataset from the MIT-BIH (Massachusetts Institute of Technology - Beth Israel Deaconess Medical Center) database. Finally, the article proposes to design and develop a device using advanced IC technologies such as IC ADAS1000-3 combined with ESP32. This device will be designed to meet the requirements of real-time processing and data transmission via webserver.

Journal of basic and applied research internationalVol. 30(4)
Le Quy Don Technical University (VN)
Openalex Percentile: Top 33%
ECG Monitoring and Analysis
0.40
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