This paper deals with the
removal of noise and base wander in the transfer of ECG data from the patients
to the doctor. The process of the project is receiving ECG signals from the
patient and reading the data in PC using an Arduino (an open-source electronics
prototyping platform based on flexible, easy-to-use hardware and software)
board, and then the signal is subjected to the removal of noise and base wander by amplification
circuits in LabView (a system design software) software. Thus obtained ECG
signal is sent to the doctors using an Ethernet cable or LAN connection. This enables
the doctors to monitor any number of patients more accurately by sitting in a single room.
References
[1]
Chen, X.X. Xie, J.B., Fang, Z. and Xia, S.H. (2015) Low Power Electrocardiography and Impedance Cardiography Detection System Based on LabView and Bluetooth Low Energy. IEEE 2015 IET International Conference on Biomedical Image and Signal Processing (ICBISP 2015), Beijing, 19 November 2015, 1-4. https://doi.org/10.1049/cp.2015.0798
[2]
Priya, L., Hariprasad, R. and Raghul, R. (2014) Real Time Monitoring of Vital Signs Using Wireless Technique. IEEE Green Computing Communication and Electrical Engineering, 6-8 March 2014, 1-7.
[3]
Chabchoub, S., Mansouri, S. and Salah, R.B. (2015) Biomedical Monitoring System Using LabVIEW FPGA. IEEE Information Technology and Computer Applications Congress, 11-13 June 2015, 1-5.
[4]
Murugappa, M., Thirumani, R., Omar, M.I. and Murugappan, S. (2014) Development of Cost Effective ECG Data Acquisition System for Clinical Applications Using LabView. IEEE Signal Processing & Its Applications (CSPA), 100-105.
[5]
Ga, H.Q., Duan, X.H., Guo, X.Q. and Huang, A.P. (2013) Design and Tests of a Smartphones-Based Multi-Lead ECG Monitoring System. IEEE 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 267-2270.
[6]
Touati, F., Tabish, R. and Mnaouer, A.B. (2013) Towards u-Health: An Indoor 6LoWPAN Based Platform for Real-Time Healthcare Monitoring. 2013 6th Joint IFIP IEEE Wireless and Mobile Networking Conference (WMNC), 1-4.
[7]
Lin, W. (2011) Real Time Monitoring of Electrocardiogram through IEEE802.15.4 Network. IEEE 2011 8th International Conference & Expo on Emerging Technologies for a Smarter World (CEWIT), 1-6. https://doi.org/10.1109/CEWIT.2011.6135891
[8]
Oliu, M.S.C., Bello, E. and Bohórquez, J. (2013) Development of a System for the Assessment of Heart Rate Variability in the NICU. IEEE 2013 29th Southern Biomedical Engineering Conference (SBEC), 25-26.
[9]
Jeong, D.-U. (2008) Development of a Technique for Cancelling Motion Artifact in Ambulatory ECG Monitoring System. IEEE Convergence and Hybrid Information Technology, 954-961.
