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Systematic Design and HRV Analysis of a Portable ECG System Using Arduino and LabVIEW for Biomedical Engineering Training

Mehdi Shokoueinejad, Michelle Chiang, Samual Lines, Fa Wang, Willis Tompkins, and John G. Webster
Mehdi Shokoueinejad, Michelle Chiang, Samual Lines, Fa Wang, Willis Tompkins, and John G. Webster Department of Biomedical Engineering, University of Wisconsin-Madison, Madison WI 53706, USA
Abstract—This paper presents a systematic design for a fully operational portable electrocardiogram (ECG) system for training and educational purposes in Biomedical Engineering (BME) curriculum courses. The proposed ECG system also includes heart rate variability (HRV) analysis using LabVIEW, as well as step-by-step methods for the hardware and software design consideration. The instrumentation is developed to interface as a shield for an Arduino Uno. Furthermore, the study of the ECG signal includes acquisition of a real-time ECG signal, signal filtering and processing. ECG feature extraction is based on the wavelet transform for HRV analysis in LabVIEW. The proposed system has been tested with the MIT-BIH arrhythmia database and was able to achieve a sensitivity of 93.5%. Researchers will develop a valuable toolkit in the process of designing this system, and if the system is further developed to meet clinical standards, it could have major applications in less accessible areas. 
 
Index Terms—ECG, physiological measurement system design, ECG signal processing, LabVIEW, Arduino, engineering education

Cite: Mehdi Shokoueinejad, Michelle Chiang, Samual Lines, Fa Wang, Willis Tompkins, and John G. Webster, "Systematic Design and HRV Analysis of a Portable ECG System Using Arduino and LabVIEW for Biomedical Engineering Training," International Journal of Electronics and Electrical Engineering, Vol. 5, No. 5, pp. 301-311, October 2017. doi: 10.18178/ijeee.5.5.301-311
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