A study of artifacts and their removal during forced oscillation of the respiratory system

Annals of Biomedical Engineering

Volumn 41, Issue 5, 2013, Pages 990-1002

  Bhatawadekar, Swati A ^a   Leary, Del ^a   Chen, Y ^a   Ohishi, J ^b   Hernandez, P ^a   Brown, T ^a   McParland, C ^a   Maksym, Geoff N ^a  

^a DALHOUSIE UNIVERSITY   (Canada)

^b TOHOKU UNIVERSITY   (Japan)

Author keywords

Discrete wavelet transforms; Forced oscillation technique; Lung mechanics; Respiratory artifacts

Indexed keywords

AUTOMATED TECHNIQUES; DETAIL COEFFICIENTS; FORCED OSCILLATION TECHNIQUES; FORCED OSCILLATIONS; LUNG MECHANICS; RESPIRATORY ARTIFACTS; RESPIRATORY IMPEDANCE; SENSITIVITY AND SPECIFICITY;

RESPIRATORY SYSTEM;

DISCRETE WAVELET TRANSFORMS;

ADULT; ARTICLE; ARTIFACT; BREATHING MECHANICS; CLINICAL TRIAL; COUGHING; FEMALE; HUMAN; INFORMATION PROCESSING; LUNG VENTILATION; MALE; PHONATION; SENSITIVITY AND SPECIFICITY; SEXUAL DEVELOPMENT; SWALLOWING;

ADULT; ARTIFACTS; AUTOMATIC DATA PROCESSING; COUGH; DEGLUTITION; FEMALE; HUMANS; MALE; PHONATION; PULMONARY VENTILATION; RESPIRATORY MECHANICS; SENSITIVITY AND SPECIFICITY; SEX CHARACTERISTICS;

EID: 84876470708     PISSN: 00906964     EISSN: 15739686     Source Type: Journal    
DOI: 10.1007/s10439-012-0735-9     Document Type: Article

References (31)

1. Addison, P. S. Wavelet transforms and the ECG: a review. Physiol. Meas. 26:R155-R199, 2005.
2. Bates, J. Lung Mechanics: An Inverse Modeling Approach. New York: Cambridge University Press, 2009.
3. Bijaoui, E., P. F. Baconnier, and J. H. Bates. Mechanical output impedance of the lung determined from cardiogenic oscillations. J. Appl. Physiol. 91:859-865, 2001.
4. Dellaca, R. L., N. Duffy, P. P. Pompilio, A. Aliverti, N. G. Koulouris, A. Pedotti, and P. M. Calverley. Expiratory flow limitation detected by forced oscillation and negative expiratory pressure. Eur. Respir. J. 29:363-374, 2007.
5. Diba, C., C. M. Salome, H. K. Reddel, C. W. Thorpe, B. Toelle, and G. G. King. Short-term variability of airway caliber - a marker of asthma? J. Appl. Physiol. 103:296-304, 2007.
6. Franken, H., J. Clement, and K. P. Van de Woestijne. Systematic and random errors in the determination of respiratory impedance by means of the forced oscillation technique: a theoretical study. IEEE Trans. Biomed. Eng. 30:642-651, 1983.
7. Frey, U., T. Brodbeck, A. Majumdar, D. R. Taylor, G. I. Town, M. Silverman, and B. Suki. Risk of severe asthma episodes predicted from fluctuation analysis of airway function. Nature 438:667-670, 2005.
8. Gimeno, F., L. T. van der Weele, G. H. Koeter, J. G. de Monchy, and R. van Altena. Variability of forced oscillation (Siemens Siregnost FD 5) measurements of total respiratory resistance in patients and healthy subjects. Ann. Allergy 71:56-60, 1993.
9. Kandaswamy, A., C. S. Kumar, R. P. Ramanathan, S. Jayaraman, and N. Malmurugan. Neural classification of lung sounds using wavelet coefficients. Comput. Biol. Med. 34:523-537, 2004.
10. Khalil, M., and J. Duchene. Uterine EMG analysis: a dynamic approach for change detection and classification. IEEE Trans. Biomed. Eng. 47:748-756, 2000.
11. Lall, C. A., N. Cheng, P. Hernandez, P. T. Pianosi, Z. Dali, A. Abouzied, and G. N. Maksym. Airway resistance variability and response to bronchodilator in children with asthma. Eur. Respir. J. 30:260-268, 2007.
12. Landser, F. J., J. Clement, and K. P. Van de Woestijne. Normal values of total respiratory resistance and reactance determined by forced oscillations: influence of smoking. Chest 81:586-591, 1982.
13. Landser, F. J., J. Nagels, J. Clement, and K. P. Van de Woestijne. Errors in the measurement of total respiratory resistance and reactance by forced oscillations. Respir. Physiol. 28:289-301, 1976.
14. Landser, F. J., J. Nagles, M. Demedts, L. Billiet, and K. P. van de Woestijne. A new method to determine frequency characteristics of the respiratory system. J. Appl. Physiol. 41:101-106, 1976.
15. Maki, B. E. Interpretation of the coherence function when using pseudorandom inputs to identify nonlinear systems. IEEE Trans. Biomed. Eng. 33:775-779, 1986.
16. Marchal, F., C. Schweitzer, B. Demoulin, C. Chone, and R. Peslin. Filtering artefacts in measurements of forced oscillation respiratory impedance in young children. Physiol. Meas. 25:1153-1166, 2004.
17. Michaelson, E. D., E. D. Grassman, and W. R. Peters. Pulmonary mechanics by spectral analysis of forced random noise. J. Clin. Invest. 56:1210-1230, 1975.
18. Miller, M. R., J. Hankinson, V. Brusasco, F. Burgos, R. Casaburi, A. Coates, R. Crapo, P. Enright, C. P. van der Grinten, P. Gustafsson, R. Jensen, D. C. Johnson, N. MacIntyre, R. McKay, D. Navajas, O. F. Pedersen, R. Pellegrino, G. Viegi, J. Wanger, and ATS/ERS Task Force. Standardisation of spirometry. Eur. Respir. J. 26:319-338, 2005.
19. Morris, J. F., A. Koski, and L. C. Johnson. Spirometric standards for healthy nonsmoking adults. Am. Rev. Respir. Dis. 103:57-67, 1971.
20. Muskulus, M., A. M. Slats, P. J. Sterk, and S. Verduyn-Lunel. Fluctuations and determinism of respiratory impedance in asthma and chronic obstructive pulmonary disease. J. Appl. Physiol. 109:1582-1591, 2010.
21. Oostveen, E., D. MacLeod, H. Lorino, R. Farre, Z. Hantos, K. Desager, F. Marchal, and ERS Task Force on Respiratory Impedance Measurements. The forced oscillation technique in clinical practice: methodology, recommendations and future developments. Eur. Respir. J. 22:1026-1041, 2003.
22. Peslin, R., C. Duvivier, and C. Gallina. Total respiratory input and transfer impedances in humans. J. Appl. Physiol. 59:492-501, 1985.
23. Petrosian, A., D. Prokhorov, R. Homan, R. Dasheiff, and D. Wunsch. Recurrent neural network based prediction of epileptic seizures in intra- and extracranial EEG. Neurocomputing 30:201-218, 2000.
24. Que, C. L., C. M. Kenyon, R. Olivenstein, P. T. Macklem, and G. N. Maksym. Homeokinesis and short-term variability of human airway caliber. J. Appl. Physiol. 91:1131-1141, 2001.
25. Robinson, P. D., M. Turner, N. J. Brown, C. Salome, N. Berend, G. B. Marks, and G. G. King. Procedures to improve the repeatability of forced oscillation measurements in school-aged children. Respir. Physiol. Neurobiol. 177:199-206, 2011.
26. Schuessler, T. F., and J. H. Bates. A computer-controlled research ventilator for small animals: design and evaluation. IEEE Trans. Biomed. Eng. 42:860-866, 1995.
27. Schweitzer, C., C. Chone, and F. Marchal. Influence of data filtering on reliability of respiratory impedance and derived parameters in children. Pediatr. Pulmonol. 36:502-508, 2003.
28. Scott, R., and L. Grant. The assessment of cardiogenic interference on respiratory input impedance measurements and attempts to minimize effects using adaptive filtering. Eur. Respir. Rev. 4:126-129, 1994.
29. Timonen, K. L., J. T. Randell, R. O. Salonen, and J. Pekkanen. Short-term variations in oscillatory and spirometric lung function indices among school children. Eur. Respir. J. 10:82-87, 1997.
30. Van Noord, J. A., J. Clement, K. P. Van de Woestijne, and M. Demedts. Total respiratory resistance and reactance in patients with asthma, chronic bronchitis, and emphysema. Am. Rev. Respir. Dis. 143:922-927, 1991.
31. Zerah, F., A. M. Lorino, H. Lorino, A. Harf, and I. Macquin-Mavier. Forced oscillation technique vs spirometry to assess bronchodilatation in patients with asthma and COPD. Chest 108:41-47, 1995.