DESIGN AND IMPLEMENTATION OF LOW COST DATA ACQUISITION SYSTEM FOR ECG SIGNAL AND EDR USING LABVIEW AND ARDUINO

DILSHAD HASSAN SALLO

doi:10.26682/sjuod.2019.22.1.12

DILSHAD HASSAN SALLO Dept. Computer Science, College of Science, University of Duhok, Kurdistan Region-Iraq

DOI: https://doi.org/10.26682/sjuod.2019.22.1.12

Keywords: Arduino, DAQ:, ECG signals:, EDR:, LabVIEW:

Abstract

usage of electrocardiogram (ECG) signals not only limited to the medical services, but also used for studying, learning, processing and analysing. However, the devices such as BIOPAC Systems that used for this purpose are extremely expensive and often not existed, particularly in the third world. The aim of this paper is to design and implement low cost data acquisition system to capture ECG signals and generating ECG-Derived Respiration (EDR) using the LabVIEW platform and Arduino with help of AD8232 chip. The system is designed to monitor the heart signals over the time and calculates the heart rate accurately. It also constructs the breathing signal indirectly by detecting R peaks in ECG signals and interpolating them. Furthermore, this system introduces a unique feature through giving ability to save both the heart and breathing signals as the Matlab file to be used for further analysis. The outcomes show that the ECG signals are in the standard range, as well as constructing breathing signal was successfully done, and the obtained low cost system can be useful for biomedical studies.

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References

-BELGACEM, N., REGUIG, F., Naït-ali, A., & Fournier, R. (2012). Person Identification System Based on Electrocardiogram Signal Using LabVIEW. International Journal on Computer Science and Engineering (IJCSE), 4, 974 -981.
-Bhat, A., Kumar, V., & Kumar, S. (2013). Design of ECG Data Acquisition System. International Journal of Advanced Research in Computer Science and Software Engineering, 3(4), 676-680.
‒ Dickhaus, H., & Maier, C. (2010). Central Sleep Apnea Detection from ECG-derived Respiratory Signals. Methods Of Information In Medicine, 49(05), 462-466. doi: 10.3414/me09-02-0047.
‒ Gao, Z., Wu, J., Zhou, J., Jiang, W., & Feng, L. (2012). Design of ECG Signal Acquisition and Processing System. 2012 International Conference On Biomedical Engineering And Biotechnology. doi: 10.1109/icbeb.2012.128.
‒ Ji, X., Ning, C., Zhao, C., & Zhang, X. (2017). Design of the HRV Analysis System Based on AD8232. Destech Transactions On Engineering And Technology Research, (ismii). doi: 10.12783/dtetr/ismii2017/16676.
‒ Kanani, N., & Thakker, M. (2015). Low Cost Data Acquisition System Using LabVIEW. 2nd International conference on multidisciplinary research & practice.
‒ Kaur, P., & Sharma, R. (2014). LabVIEW based design of heart disease detection system. International Conference On Recent Advances And Innovations In Engineering (ICRAIE-2014). doi: 10.1109/icraie.2014.6909241
‒ Kim, N. (2011). Digital Signal Processing System-Level Design Using LabVIEW. Newnes.
‒ Klein, R. (2015). Editorial: Derivation of respiratory gating signals from ECG signals. Journal Of Nuclear Cardiology, 23(1), 84-86. doi: 10.1007/s12350-015-0192-6.
‒ Moody, George, B., Mark, Roger, G., Zoccola, A., & Mantero, S. (1985). Derivation of Respiratory Signals from Multilead ECGs. Computers in Cardiology, 12.
‒ Pflanzer, R. and McMullen, W. (2012). Electrocardiography (ECG) I Introduction. Biopac Student Lab Manual. BIOPAC Systems, Inc., pp.pp. I1-I4.
‒ Puurtinen, M., Viik, J., & Hyttinen, J. (2008). Best Electrode Locations for a Small Bipolar ECG Device: Signal Strength Analysis of Clinical Data. Annals Of Biomedical Engineering, 37(2), 331-336. doi: 10.1007/s10439-008-9604-y.
‒ Ruangsuwana, R., Velikic, G., & Bocko, M. (2010). Methods to extract respiration information from ECG signals. In Conf. Proc. ICASSP (pp 570–3).
‒ Sarkar, S., Bhattacherjee, S., & Pal, S. (2015). Extraction of respiration signal from ECG for respiratory rate estimation. Michael Faraday IET International Summit 2015. doi: 10.1049/cp.2015.1654.
‒ Wang, X., Niu, W., & Liu, Y. (2013). Design of ECG Acquisition System Based on Matlab. Applied Mechanics And Materials, 462-463, 1001-1004. doi: 10.4028/www.scientific. net/amm.462-463.1001.
‒ Zhang, Y., Sun, G., & Yang, Y. (2012). 12-Lead ECG Data Acquisition System Based on ADS1298. Procedia Engineering, 29, 2103-2108. doi: 10.1016/j.proeng.2012.01.270.