Abstract
Oesophageal pressure (Pes) measurements are important in medical research and useful in clinical diagnosis. Measurements, however, are contaminated heavily by cardiac artifacts. The spectrum and waveform of the Pes signal is obtained from the oesophageal balloon. Adaptive finite impulse response (AFIR) filter and modified adaptive noise cancellation (MANC) methods are adopted to filter out cardiac beat interference. These results are compared. In the frequency domain, frequency variations and spectral overlap between the Pes components and cardiac beat signal components impact on the performance of the filter. From our experimental results on power strength, the fourth or higher harmonics did not have any significant effect on the filter performance. However, the second harmonics of these signals had a significant effect on the filtering result. Thus, in the design of AFIR filters, attention is needed to minimise these effects. In frequency analysis, these harmonics or overlapping frequencies do not affect MANC. MANC was the better method for eliminating cardiac beat artifact in Pes measurement. The dynamic compliance (Cdyn) was also used to evaluate the performance of MANC and AFIR. The standard deviation of Cdyn was less than 0.15 using MANC, compared with standard deviations as high as 0.57 for AFIR. We conclude that MANC performs better than AFIR.
Similar content being viewed by others
Abbreviations
- w c :
-
Cutoff frequency
- P es :
-
Oesophageal pressure [cm H2O]
- LPF:
-
Lowpass filter
- BSF:
-
Bandstop filter
- CF:
-
Comb filter
- f r1 :
-
Frequency ofP es fundamental wave
- f r2 :
-
Frequency of second harmonic ofP es
- f r3 :
-
Frequency of third harmonic ofP es
- f c1 :
-
Frequency of cardiac beat fundamental wave
- f c2 :
-
Frequency of second harmonic of cardiac beat
- f c3 :
-
Frequency of third harmonic of cardiac beat
- f c4 :
-
Frequency of fourth harmonic of cardiac beat
- P r1 :
-
Power ofP es fundamental wave
- P r2 :
-
Power of second harmonic ofP es
- P r3 :
-
Power of third harmonic ofP es
- P c1 :
-
Power of cardiac beat fundamental wave
- P c2 :
-
Power of second harmonic of cardiac beat
- P c3 :
-
Power of third harmonic of cardiac beat
References
Chen, J., Vandewalle, J., Sansen, W., Vantrappen, G., andJanssens, J. (1989): ‘Adaptive method for cancellation of respiratory artifact electrogastric measurements’,Med. Biol. Eng. Comput.,27, pp. 57–63
Cheng, Y. P., Wu, H. D., andJan, G. J. (1998): ‘Comparing two adaptive methods for removing cardiac beat artifact in esophageal pressure measurement: MANC and AFIR’.Proceedings of 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS'98), pp. 1640–1642, Hong Kong
Ifeachor, E. C., andJervis, B. W. (1993): ‘Digital signal processing: A practical approach’ (Addison-Wesley, Wokingham)
Ingle, V. K., andProakis, J. G. (1997): ‘Digital signal processing using MATLAB V.4’ (PWS Publishing Company)
Kentie, M. A., Van der Schee, E. J., Grashuis, J. L., andSmount, A. J. P. M. (1981a): ‘Adaptive filtering of canine electrogastrographic signals. Part 1: system design’,Med. Biol. Eng. Comput.,19, pp. 759–764
Kentie, M. A., Van der Schee, E. J., Grashuis, J. L., andSmount, A. J. P. M. (1981b): ‘Adaptive filtering of canine electrogastrographic signals. Part 2: filter performance’,Med. Biol. Eng. Comput.,19, pp. 765–769
Knowles, J. H., Hong, S. K., andRahn, H. (1959): ‘Possible error using esophageal balloon in determination of pressure-volume characteristics of the lung and thoracic cage’,J. Appl. Physiol.,14 (4), pp. 525–530
Macintyre, N. R., andGropper, C. (1995): ‘Monitoring ventilatory function II: respiratory system mechanics and muscle function’,in Levine, R. L. and Fromm, R. E. Jr. (Eds): ‘Critical care monitoring from pre-hospital to the ICU’, (Mosby-Year Book Inc., St. Louis), pp. 179–190
Marini, J. J. (1990): ‘Lung mechanics determinations at the bedside: instrumentation and clinical application’,Respiratory Care,7, pp. 669–696
Milic-Emili, J., Mead, J., andTurner, J. M. (1964): ‘Topography of esophageal pressure as a function of posture in man’,J. Appl. Physiol.,19, (2), pp. 212–216
Miro, A. M., andPinsky, M. R. (1994): ‘Heart-lung interactions’in Tobin, M. J. (Ed.): ‘Principles and practice of mechanical ventilation’ (McGraw-Hill Inc., New York)
Sadasivan, P. K., andDutt, D. N. (1996): ‘ANC schemes for the enhancement of EEG signals in the presence of EOG artifacts’,Comput. Biomed. Res.,29, pp. 27–40
Schuessler, T. F., Gottfried, S. B., Goldberg, P., Kearney, R. E., andBates, J. H. T. (1998): ‘An adaptive filter to reduce cardiogenic oscillations on esophageal pressure signals’,Ann. Biomed. Eng.,26, pp. 260–267
Vaseghi, S. V. (1996): ‘Advanced signal processing and digital noise reduction’ (Wiley, New York)
Widrow, B., Glover, J. R., McCool, J. M., Kaunitz, J., Williams, C. S., Hearn, R. H., Zeidler, J. R., Dong, E., andGoodlin, R. C. (1975): ‘Adaptive noise cancelling: principles and applications’,Proc. IEEE,63, pp. 1692–1716
Ye, J., andChoy, T. T. C. (1994): ‘On-line respiratory artefact removal via adaptive FIR filters in rheopneumographic measurement’,Med. Biol. Eng. Comput.,32, pp. 620–624
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Cheng, Y.P., Wu, H.D., Wang, C.Y. et al. Removal of cardiac beat artifact in oesophageal pressure measurement by frequency analysis. Med. Biol. Eng. Comput. 37, 776–783 (1999). https://doi.org/10.1007/BF02513381
Received:
Accepted:
Issue Date:
DOI: https://doi.org/10.1007/BF02513381