LOW COST REAL-TIME MEASUREMENT OF THE ECG, SPO2 AND TEMPERATURE SIGNALS IN THE LABVIEW ENVIRONMENT FOR BIOMEDICAL TECHNOLOGIES EDUCATION
Abstract
Electrocardiography (ECG) is to
measure the electrical activity of the heart. Doctors diagnose various cardiac
diseases by analyzing this signal. The ECG signal is one of the best diagnostic
devices for heart diseases. The purpose of this work is to display the ECG
signal in the LabVIEW (Laboratory Virtual Instrument Engineering Workbench)
environment. Lowering the cost by designing your own ECG circuit. The program
can also easily process the ECG signal in various ways. There is no need to
setup any electronic circuit. In addition to the ECG signal, modules with pulse
oximeter and temperature indicating oxygen saturation are added. In this study,
low cost ECG, temperature and pulse measurements were performed in our
own laboratory environment. The measurement circuit was communicated with the
LabVIEW program via Arduino. The data received with Arduino is shown after
processing in the LabVIEW environment. The program also shows the patient's
heart rate and alerts when the patient enters a heart attack.
Keywords
Real-Time Electrocardiography (ECG) temperature pulse oximeter LabVIEW biomedical technologies education
References
- Retrieved from https://en.wikipedia.org/wiki/Electrocardiography/ Lascu, M., & Lascu, D. (2007, August). LabVIEW based biomedical signal acquisition and processing. In Proceedings of the 7th WSEAS Int Conf on Signal Processing, Computational Geometry and Artificial Vision, Athens, Greece. 2007Aug (pp. 24-26). Olansen, J. B., & Rosow, E. (2001). Virtual bio-instrumentation: biomedical, clinical, and healthcare applications in LabVIEW. Pearson Education. Retrieved from http://makezine.com/projects/ir-pulse-sensor/ Mohamad, A. S., & Noor, H. M. (2014, August). Development of smart ECG machine using LabVIEW for biomedical engineering students. In Engineering Technology and Technopreneuship (ICE2T), 2014 4th International Conference on (pp. 320-323). IEEE.
Abstract
References
- Retrieved from https://en.wikipedia.org/wiki/Electrocardiography/ Lascu, M., & Lascu, D. (2007, August). LabVIEW based biomedical signal acquisition and processing. In Proceedings of the 7th WSEAS Int Conf on Signal Processing, Computational Geometry and Artificial Vision, Athens, Greece. 2007Aug (pp. 24-26). Olansen, J. B., & Rosow, E. (2001). Virtual bio-instrumentation: biomedical, clinical, and healthcare applications in LabVIEW. Pearson Education. Retrieved from http://makezine.com/projects/ir-pulse-sensor/ Mohamad, A. S., & Noor, H. M. (2014, August). Development of smart ECG machine using LabVIEW for biomedical engineering students. In Engineering Technology and Technopreneuship (ICE2T), 2014 4th International Conference on (pp. 320-323). IEEE.
Details
| Journal Section | Articles |
|---|---|
| Authors | |
| Publication Date | September 8, 2017 |
| Published in Issue | Year 2017 Volume: 7 |
