Skip to main content

Bio-amplifier with Programmable Gain and Adjustable Leads for Basic Measurement of Bioelectric Signals

  • Conference paper
Information Technologies in Biomedicine, Volume 4

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 284))

Abstract

This article describes a four-channel amplifier for human neurophysiologic electrical activity measurement. The advantage of the device, in combination with the developed software, lies in the real-time display of various human electrical signals such as ECG, EEG and EOG. Signal samples are stored in a binary file on the hard drive for further analysis. Combination of leads is changeable depending on the measurement type and characteristics thereof. Gain of individual leads is adjustable by digital potentiometers. The various types of measurement are presented in the article in order to verify device function.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Wong, A., Pun, K.-P., Zhang, Y.-T., Choy, C.-S.: An ecg measurement ic using driven-right-leg circuit. In: Proceedings of the IEEE International Symposium on Circuits and Systems, ISCAS 2006, p. 4. IEEE (2006)

    Google Scholar 

  2. Winter, B.B., Webster, J.G.: Driven-right-leg circuit design. IEEE Transactions on Biomedical Engineering (1), 62–66 (1983)

    Google Scholar 

  3. Penhaker, M., Stula, T., Augustynek, M.: Long-term heart rate variability assessment. In: Osman, N.A.A., Abas, W.A.B.W., Wahab, A.K.A., Ting, H.-N. (eds.) BIOMED 2011. IFMBE Proceedings, vol. 35, pp. 532–535. Springer, Heidelberg (2011)

    Google Scholar 

  4. Penhaker, M., Stula, T., Cerny, M.: Automatic ranking of eye movement in electrooculographic records. In: 2010 Second International Conference on Computer Engineering and Applications (ICCEA), vol. 2, pp. 456–460. IEEE (2010)

    Google Scholar 

  5. Machacek, Z., Srovnal, V.: Automated system for data measuring and analyses from embedded systems. In: Proceeeding of the 7th WSEAS International Conference on Automatic Control, Modeling and Simulation, Prague, Czech Republic, pp. 1–6 (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Branko Babusiak .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Babusiak, B., Borik, S., Gala, M. (2014). Bio-amplifier with Programmable Gain and Adjustable Leads for Basic Measurement of Bioelectric Signals. In: Piętka, E., Kawa, J., Wieclawek, W. (eds) Information Technologies in Biomedicine, Volume 4. Advances in Intelligent Systems and Computing, vol 284. Springer, Cham. https://doi.org/10.1007/978-3-319-06596-0_23

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-06596-0_23

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06595-3

  • Online ISBN: 978-3-319-06596-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics