An Arduino based heartbeat detection device (ArdMob-ECG) for real-time ECG analysis
Tim Julian M\"oller, Martin Voss, and Laura Kaltwasser

TL;DR
This paper presents a low-cost, open-source Arduino-based ECG device capable of real-time heartbeat detection, data storage, and USB communication, suitable for scientific research and remote health monitoring.
Contribution
It introduces a novel, affordable, and open-source ECG device with comparable performance to clinical systems, including built-in detection algorithms and easy integration with software tools.
Findings
Device's sensitivity and specificity are comparable to clinical ECGs
Open-source hardware and software facilitate customization and research
Cost-effective design enables use in remote and resource-limited settings
Abstract
This technical paper provides a tutorial to build a low-cost (10-100 USD) and easy to assemble ECG device (ArdMob-ECG) that can be easily used for a variety of different scientific studies. The advantage of this device is that it automatically stores the data and has a built-in detection algorithm for heartbeats. Compared to a clinical ECG, this device entails a serial interface that can send triggers via USB directly to a computer and software (e.g. Unity, Matlab) with minimal delay due to its architecture. Its software and hardware is open-source and publicly available. The performance of the device regarding sensitivity and specificity is comparable to a professional clinical ECG and is assessed in this paper. Due to the open-source software, a variety of different research questions and individual alterations can be adapted using this ECG. The code as well as the circuit is publicly…
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Taxonomy
TopicsECG Monitoring and Analysis · EEG and Brain-Computer Interfaces · Analog and Mixed-Signal Circuit Design
