TY  - JOUR
TT  - LOW COST REAL-TIME MEASUREMENT OF THE ECG, SPO2 AND TEMPERATURE SIGNALS IN THE LABVIEW ENVIRONMENT FOR BIOMEDICAL TECHNOLOGIES EDUCATION
AU  - Ciklacandir, Samet
AU  - Mulayim, Naciye
AU  - Sahin, Savas
PY  - 2017
DA  - August
JF  - The Eurasia Proceedings of Educational and Social Sciences
JO  - EPESS
PB  - ISRES Publishing
WT  - DergiPark
SN  - 2587-1730
SP  - 162
EP  - 168
VL  - 7
KW  - Real-Time Electrocardiography (ECG)
KW  - temperature
KW  - pulse oximeter
KW  - LabVIEW
KW  - biomedical technologies education
N2  - Electrocardiography (ECG) is tomeasure the electrical activity of the heart. Doctors diagnose various cardiacdiseases by analyzing this signal. The ECG signal is one of the best diagnosticdevices for heart diseases. The purpose of this work is to display the ECGsignal in the LabVIEW (Laboratory Virtual Instrument Engineering Workbench)environment. Lowering the cost by designing your own ECG circuit. The programcan also easily process the ECG signal in various ways. There is no need tosetup any electronic circuit. In addition to the ECG signal, modules with pulseoximeter and temperature indicating oxygen saturation are added. In this study,low cost ECG, temperature and pulse measurements were performed in ourown laboratory environment. The measurement circuit was communicated with theLabVIEW program via Arduino. The data received with Arduino is shown afterprocessing in the LabVIEW environment. The program also shows the patient'sheart rate and alerts when the patient enters a heart attack.
CR  - 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.
UR  - https://dergipark.org.tr/en/pub/epess/issue//337257
L1  - https://dergipark.org.tr/en/download/article-file/339734
ER  -