Skip to main content
SpringerLink
Log in

Analysis of Pulse Wave Amplitude Measurement Errors

  • Published:
Biomedical Engineering Aims and scope

This article addresses the analysis of random errors in measurements of pulse wave amplitude due to the influences of interference and noises of different origins and intensities. Mathematical models of the main distorting factors affecting pulse wave measurements are described. The interference immunity of various methods for detecting and measuring the amplitude of the systolic peak of the pulse wave is assessed.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Allen, J., “Photoplethysmography and its application in clinical physiological measurement,” Physiol. Meas., 28, 1-39 (2007).

    Article  Google Scholar 

  2. Kalakutskii, L. I. and Manelis, E. S., Equipment and Methods for Clinical Monitoring. A Textbook [in Russian], Samara National Research University, Samara (1999).

    Google Scholar 

  3. Webster, J. G., Design of Pulse Oximeters, The Medical Science Series, Taylor & Francis (1997).

  4. Aboy, M., McNames, J., and Goldstein, B., “Automatic detection algorithm of intracranial pressure waveform components,” in: Proc. 23rd Int. Conf. IEEE Engineering in Medicine and Biology Society, Vol. 3 (2001), pp. 2231-2234.

  5. Crespo, C. et al., “Automatic detection algorithm for physiologic pressure signal components,” in: Proc. 24th Int. Conf. IEEE Engineering in Medicine and Biology Society and Biomedical Engineering Society, Vol. 1 (2002), pp. 196-197.

  6. Townsend, N. W. and Germuska, R. B., Location Features in a Photoplethysmograph Signals, US Patent 2005/000479 A1 (2005).

    Google Scholar 

  7. Fedotov, A. A., “Amplitude–time method for detecting characteristic pulse wave points,” Biomed. Eng., 46, 241-245 (2013).

    Article  Google Scholar 

  8. Fu, T. H. et al., “Heart rate extraction from photoplethysmogram waveform using wavelet multi-resolution analysis,” J. Med. Biol. Eng., 28, No. 4, 229-232 (2008).

    Google Scholar 

  9. Han, H. et al., “Development of real-time motion artifact reduction algorithm for a wearable photoplethysmography,” in: Proc. 29th Ann. Int. Conf. IEEE EMBS (2007), pp. 1538-1541.

  10. McSharry, P. E. and Clifford, G. D., “A realistic coupled nonlinear artificial ECG, BP and respiratory signal generator for assessing noise performance of biomedical signal processing algorithms,” Proc. SPIE, 5467, 290-301 (2004).

    Article  Google Scholar 

  11. Novitskii, P. V. and Zograf, I. A., Assessment of Errors in Measurement Results [in Russian], Energoatomizdat, Moscow (1991).

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Samara National Research University named after Academician S.P. Korolev, Samara, Russia

    A. A. Fedotov

Authors
  1. A. A. Fedotov
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to A. A. Fedotov.

Additional information

Translated from Meditsinskaya Tekhnika, Vol. 54, No. 4, Jul.-Aug., 2020, pp. 46-49.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Fedotov, A.A. Analysis of Pulse Wave Amplitude Measurement Errors. Biomed Eng 54, 289–293 (2020). https://doi.org/10.1007/s10527-020-10024-4

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10527-020-10024-4

Search

Navigation