An oversampling system for ECG acquisition
Yu Zhou
DOI: 10.4236/jbise.2009.27075   PDF    HTML     10,309 Downloads   16,765 Views   Citations


Traditional ECG acquisition system lacks for flexibility. To improve the flexibility of ECG acquisition system and the signal-to-noise ratio of ECG, a new ECG acquisition system was designed based on DAQ card and Labview and oversampling was implemented in Labview. And analog signal conditioning circuit was improved on. The result indicated that the system could detect ECG signal accurately with high signal-to-noise ratio and the signal processing methods could be adjusted easily. So the new system can satisfy many kinds of ECG acquisition. It is a flexible experiment platform for exploring new ECG acquisition methods.

Share and Cite:

Zhou, Y. (2009) An oversampling system for ECG acquisition. Journal of Biomedical Science and Engineering, 2, 521-525. doi: 10.4236/jbise.2009.27075.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] Li, G., Zhang, L. J., Lin, L., and He, F., (2008) Research of Bioelectricity Signal Detection Based on Oversam-pling, Acta Electronica Sinica, 36, 1465–1467.
[2] Wang, B. H., (2003) Biomedical Measurement and Instrument, 1st Edition, Fudan Press, Shanghai.
[3] Koutroulis, E. and Kalaitzakis, K., (2003) Development of an integrated data-acquisition system for renewable energy sources systems monitoring. Renewable Energy, 28, 139–152.
[4] Yeung, K. and Huang, J., (2003) Development of a re-mote-access laboratory: a dc motor control experiment. Com-puters in Industry, 52, 305–311.
[5] Wei, Y. C., Lee, Y. H., and Young, M. S., (2008) A Portable ECG Signal Monitor and Analyzer. The 2nd International Conference on Bioinformatics and Biomedical Engineer- ing. Shanghai, China, pp.1336–1338.
[6] Yeon, N., Sung, P., Kyu, H., et al., (2006) A Study of Signifi-cant data Classification between EDR extracted and frequency analysis of Heart Rate Variability from ECG using Conductive textile. World Congress on Medical Physics and Biomedical Engineering. Seoul, Korea, pp.4100–4103.
[7] Li, G., Zhang, L. J., Lin, L., and He, F. (2008) Weak Signal Detection Based on Over-Sampling and Saw-Tooth Shaped Function. ACTA ELECTRONICA SINICA, 36, 756–759.
[8] Goes, J., Paulino, N., Pinto, H., Monteiro, R., Vaz, B., and Garcao, A. S., (2005) Low-power low-voltage CMOS A/D sigma-delta modulator for bio-potential signals driven by a single-phase scheme. Circuits and Systems I: Regular Papers, IEEE Transactions on, 52, 2595– 2604.
[9] Huhta, J. C. and Webster, J. G. (1973) 60-Hz Interference in Electrocardiography. IEEE Transactions on Biomedical Engi-neering, 20, 91–101.
[10] Spinelli, E. M. and Mayosky, M. A., (2005) Two-electrode bio-potential measurements: power line interference ana- lysis. Biomedical Engineering, IEEE Transactions on, 52, 1436–1442.
[11] Oppenheim, A. V., Schafer, R. W., and Buck, J. R., (1999) Dis-crete-time Signal Processing, 2nd Edition, Prentice Hall, New Jersey.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.