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This is the GitHub Repository for the paper: "Real-Time ECG Analysis with the Ardmob-ECG: A Comparative Assessment" that has been published as a book chapter in IEEE SPMB in Springer Nature in 2023. The bookchapter can be accessed under the following link: (TODO). The abstract of the chapter is given below:

This bookchapter validates the performance of the "ArdMob-ECG". The "ArdMob-ECG" is a low-cost (10-100 USD), easy to assemble and use, small, lightweight, mobile, and Arduino based ECG device that can be used for a variety of medical and scientific applications. However, as of yet, only little validation has been done on this relatively new device. This chapter validates the performance of the ArdMob-ECG by assessing its usability, validity, and reliability, and compares it to a state-of-the-art ECG in two use cases: measuring the accuracy of the ArdMob-ECG in detecting inter-beat intervals, and measuring the latency of the ArdMob-ECG in online detection of R-peaks. Additionally, the empirical latencies of an Arduino-Unity-Arduino interface has been assessed and is described in this chapter. Overall the performance, time delays, and frequency domain analyses of the ArdMob-ECG is strikingly similar to state of the art machines, which make the ArdMob-ECG a practical and qualitative tool for scientific uses

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