Skip to main content
Log in

Respiratory Related Evoked Responses to Graduated Pressure Pulses using Wavelet Transform Methods

  • Published:
Annals of Biomedical Engineering Aims and scope Submit manuscript

Abstract

In this study, the respiratory related evoked responses (RREPs) from ten normal subjects in response to brief varying pressure pulses at —6, —10 and —17cm H2O with a duration of 200 ms were recorded to investigate how mid-latency cortical evoked potentials measured on the scalp are affected in response to pressure pulses of varying magnitude at the mouth. Wavelet decomposition was performed for eight frequency scales in time for the RREPs. The RREPs at each wavelet scale were enhanced by eliminating the wavelet coefficients due to the artifacts and noise. After denoising, the third (125–250 Hz), fourth (62.5–125 Hz), fifth (31.25–62.5 Hz) and sixth (15.62–31.25 Hz) wavelet scales were quantified using the global field power estimates which serve to reduce the contamination by facial electromyogram responses evoked by the pressure stimulus. Our results show that the estimates of the global field power (GFP) at the third, fourth and fifth wavelet scales between 25 and 100 ms poststimulus were significantly increased when the pressure pulse was increased from —6 to —17cm H2O. On average, the total GFP from all scales, summed over the period 30–90 ms poststimulus, doubled from baseline with the —6 and —17 H2O stimulus, and increased linearly by 40% between —6 and —17 H2O. This supports the use of the GFP as an index of respiratory mechanoreceptor input to the central nervous system. © 2000 Biomedical Engineering Society.

PAC00: 8719Nn, 8719Bb, 8719Uv

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

Access this article

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

Instant access to the full article PDF.

Similar content being viewed by others

REFERENCES

  1. Akay, M. Wavelets in biomedical engineering. Ann. Biomed.Eng.23:531–542, 1995.

    Google Scholar 

  2. Akay, M., Y. M. Akay, P. Cheng, and H. H. Szeto.Investigating the effects of opioid drugs on the ECoG signal during maturation using wavelet transform. Biol. Cybern.72:431–437, 1995.

    Google Scholar 

  3. Akay, M., L. Lim., and J. A. Daubenspeck. Waveletanalysis of respiratory cortical evoked potential activity. In: Intelligent Engineering Systems Through Artifical Neural Networks, edited By C. Dagli et al. New York: ASME, 1994, pp. 547–552.

    Google Scholar 

  4. Akay, M., W. Welkowitz, Y. M. Akay, and S. Lefkowicz. Investigating the effects of vasodilatordrugs on the turbulent sound caused using the short term Fourier and wavelet transforms. IEEE Trans. Biomed. Eng.41:921–928, 1994.

    Google Scholar 

  5. Bartnik, E. A., K. J. Blinowska, and P. J. Durka. Singleevoked potential reconstruction by means of wavelet transform. Biol. Cybern.67:175–181, 1991.

    Google Scholar 

  6. Bloch, E., A. Harver, and N. Squires. Event-related potentials elicited by resistive loads in normalsubjects, Am. Rev. Respir. Dis.141:A308, 1990.

    Google Scholar 

  7. Daubenspeck, J. A. Respiratory-related evoked potentials (RREPs) from the human upper airway (UA). FASEB J. 12(5):3875, 1998.

    Google Scholar 

  8. Daubenspeck, J. A., H. L. Manning, and M. Akay. Global field power helps to separaterespiratory related evoked potentials from electromyographic contamination. J. Appl. Physiol.88:282–290, 2000.

    Google Scholar 

  9. Daubenspeck, J. A., H. L. Manning, and M. Akay. Contribution of supraglottalmechanoreceptor afferents to respiratory related evoked potentials in humans. J. Appl. Physiol. 88:291–299, 2000.

    Google Scholar 

  10. Davenport, P. W., W. A. Freedman, F. J. Thompson, and O. Franzen.Respiratory-related cortical potentials evoked by inspiratory occlusion in humans. J. Appl. Physiol.60:1843–1848, 1986.

    Google Scholar 

  11. Davenport, P. W., F. J. Thompson, R. L. Reep, and A.N. Freed. Projection of phrenic nerve afferents to the cat sensorimotor Cortex. Br. Res.328:150–153, 1985.

    Google Scholar 

  12. Donoho, D. L. Denoising by soft-thresholding. IEEE Trans. Inf.Theory41:613–627, 1995.

    Google Scholar 

  13. Gandevia, S. and G. Macefield. Projection of phrenicnerve afferents from human intercostal muscles to the cerebral cortex. Respir. Physiol.77:203–214, 1989.

    Google Scholar 

  14. Lehmann, D., W. Skrandies. Reference-free identification of components ofcheckerboard-evoked multichannel potential fields. Electroencephalogr. Clin. Neurophysiol.48:609–621, 1980.

    Google Scholar 

  15. Lim, L., M. Akay, and J. A. Daubenspeck. Wavelet decomposition to identify theshort latency of respiratory related evoked responses. IEEE Eng. Med. Biol. Mag. March: 174–178, 1995.

  16. Mallat, S. G., W. L. Hwang. Singularity detection and processing with wavelets.IEEE Trans. Pattern Anal. Mach. Intell. 38:617–643, 1992.

    Google Scholar 

  17. Mallat, S. and S. Zhong.Characterization of signals for multiscale edges. IEEE Trans. Pattern Anal. Mach. Intell. 14:710–732, 1992.

    Google Scholar 

  18. Rutimann, U. E., M. Unser, D. Rio, and R. R. Rawlings. Use of the wavelet transformto investigate differences in brain PET images between patients. Proc. SPIE2035:192–203, 1993.

    Google Scholar 

  19. Strobel, R. and J. A. Daubenspeck. Early and late respiratoryrelated cortical potentials evoked bypressure pulse stimuli applied at the mouth in humans. J. Appl. Physiol. 74(3):1484–1491, 1993.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Akay, M., Daubenspeck, J.A. Respiratory Related Evoked Responses to Graduated Pressure Pulses using Wavelet Transform Methods. Annals of Biomedical Engineering 28, 1126–1135 (2000). https://doi.org/10.1114/1.1312186

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1114/1.1312186

Navigation