Key result
Low-cost 3-lead IoT ECG system achieves ~86% accuracy compared to standard 12-lead ECG.
Why the study?
The authors sought to develop an inexpensive and efficient alternative for cardiac monitoring by creating a low-cost ECG and heart-monitoring device running on an Arduino Uno microcontroller.
Does a low-cost Arduino Uno-based 3-lead IoT ECG monitoring system accurately detect cardiac rhythms at a lower cost compared to a standard 12-lead ECG system?
Does a low-cost Arduino Uno-based 3-lead IoT ECG monitoring system accurately detect cardiac rhythms at a lower cost compared to a standard 12-lead ECG system?
A low-cost ($28.44) Arduino and ESP32-based 3-lead IoT ECG prototype demonstrated 86% accuracy compared to a 12-lead ECG, offering a potential remote monitoring hardware concept for resource-limited settings.
Answers are grounded in this paper and cite their sources.
May enable affordable remote ECG monitoring in resource-limited settings; leaves open prospective validation before clinical adoption.
The development of new technologies has led to remarkable enhancements in the quality of healthcare, especially in the area of heart health.Internet of Things (IoT)-enabled electrocardiogram (ECG) and heart monitoring systems have changed the way cardiac health is tracked and managed because of their low cost.Our goal with this project is to contribute to this change by creating a low-cost electrocardiogram (ECG) and heart-monitoring device that runs entirely on an Arduino Uno microcontroller.Using Bluetooth media, the system enables monitoring from a distance of up to 100 metres without an internet connection.A notification will immediately sent to the user and doctors when a deformity is detected so they may analyze the patients' severe conditions and give emergency medical care.Our solution provides a reliable and accurate way of monitoring heart health, allowing healthcare professionals to detect and diagnose heart-related issues in real-time.In this study, we detail the planning, execution, and assessment processes that led to our system's 86% accuracy, highlighting its salient features, useful advantages, and prospective healthcare applications.We think our initiative has the potential to greatly improve healthcare outcomes, especially for the poor and those without access to costly medical equipment, by providing an inexpensive and efficient alternative for heart health monitoring.
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Ridoy et al. (2023) studied Cardiac rhythm and ECG monitoring (n=12). IoT-based 3-lead ECG monitoring system (Arduino Uno, AD8232 sensor, ESP32) vs. Standard 12-lead ECG machine was evaluated on ECG diagnostic accuracy compared to 12-lead ECG. The Arduino Uno and AD8232-based 3-lead IoT ECG monitoring system achieved an 86% accuracy rate compared to a standard 12-lead ECG machine while reducing hardware costs.
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