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Articles

Prediction of forced expiratory volume in normal and restrictive respiratory functions using spirometry and self-organizing map

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Pages 538-543 | Published online: 15 Sep 2009

References

  • Pierce R. Spirometer: An essential clinical measurement. Australian Family Physician 2005; 34: 535–539
  • Cooper B. G., Madsen F. Standardisation of spirometry in the following Series Arts/ERS Task Force: Standardisation of Lung Function TestingV. Brusasco, R. Crapo and G. Viegi Number 2 in this Series. European Respiratory Buyers Guide 2000; 3: 40–43
  • Miller M. R., Hankinson J., Brusasco V., Burgos F., Casaburi R., Coates A., Crapo R., Enright P., Van Der Grinten C. P.M., Gustafsson P., Jensen R., Johnson D. C., Maclntyre N., Mckay R., Navajas D., Pedersen O. F., Pellegrino R., Viegi G., Wanger J. Standardisation of spirometry. European Respiratory Journal 2005; 26: 153–161
  • Arora V. K., Raghu S. Flow volume curves: Clinical significance. Lung India 1996; 14: 169–171
  • Saiprakash B. V., Octavian C. I., Kevin M., James K. S. The utility of spirometry in diagnosing pulmonary restriction. Lung 2008; 186: 19–25
  • Barreiro T. J., Perillo I. An approach to interpreting Spirometry. American Family Physician 2004; 69: 1108–1114
  • Gaetano P., Marieann H., Christian R., Rocco G., Tommaso F., Goron H. Assessment of respiratory system mechanics by artificial neural networks: an exploratory study. Journal of Applied Physiology 2001; 90: 1817–1824
  • Ng E. Y.K., Chong C. ANN based mapping of febrile subjects in mass thermogram screening: facts and myths. International Journal of Medical Engineering and Technology 2006; 30: 330–337
  • Joon L., Stefanie B., Mike C., Dave K., Glenn B. A radial basis classifier for the automatic detection of aspiration in children with dysphagia. Journal of Neuro Engineering and Rehabilitation 2006; 3: 1–17
  • Tantimongcolwat T., Naenna T., Isarankura-na-Ayudhya C., Embrechts M. J., Prachayasittikul V. Identification of ischemic heart disease via machine learning analysis on magnetocardiograms. Computational Biology in Medicine 2008; 38: 817–825
  • Papadimitriou S. M., Vladutu L., Bezerianos A. Ischemia detection with a self-organizing map supplemented by supervised learning. IEEE Transactions on Neural Networks 2001; 12: 503–515
  • Teuvo K. The self organizing map. Neurocomputing 1998; 21: 1–6
  • Victor M. J., Roberto H., Daniel A., Felix C., Miguel L., Carlos Z. Radial basis function classifiers to help in the diagnosis of the obstructive sleep apnea syndrome from nocturnal oximetry. Medical and Biological Engineering and Computing 2008; 46: 323–332
  • Catelani M., Fort A. Fault diagnosis of electronic analog circuits using a radial basis function network classifier. Measurement 2000; 28: 147–158
  • Juroszek B. The influence of gas parameters on the result of spirometric test. Measurement Science Review 2005; 5: 25–28
  • Aguado D., Montoya T., Borras L., Seco A., Ferrer J. Using SOM and PCA for analysing and interpreting data from a P-removal SBR. Engineering Applications of Artificial Intelligence 2008; 21: 919–930
  • Mu C. S., Hsiao T. C. Fast self organizing feature map algorithm. IEEE Transactions on Neural Networks 2000; 11: 721–733
  • Benoudjit N., Archambeau C., Lendasse A., Lee J., Verleysen M. Width optimization of the Gaussian kernels in radial basis function networks. ESANN’2002 proceedings. European Symposium on Artificial Neural Networks, Belgium 2002; 425–432
  • Timo H. Intrusion detection with neural networks – combination of self organizing maps and radial basis function networks for human expert integration. Computational Intelligence Society Research Grants 2003, Available online at: http://ieee.cis.org/_files/EAC_Research_2003_Report_Horeis.pdf (Accessed on 19 July 2005)
  • Minasny B., Hopmans J. W., Harter T., Eching S. O., Tuli A., Denton M. A. Neural networks prediction of soil hydraulic functions for alluvial soils using multistep outflow data. American Journal of Soil Science Society 2004; 68: 417–424
  • Enright P. L., Studnicka M., Zielinski J. Spirometry to detect and manage chronic obstructive pulmonary disease and asthma in primary care settings. European Respiratory Monitoring 2005; 31: 1–14
  • Ulmer W. T. Lung function—clinical importance, problems, and new results. Journal of Physiological Pharmacology 2003; 54: 11–13
  • Oliver B., Manuel K., Bernhard S. Evolutionary optimization of radial basis function classifiers for data mining applications. IEEE Transactions on Systems, Man, and Cybernetics 2005; 35: 928–947
  • Mahesh V., Ramakrishnan S. Neural network based classification of normal and abnormal pulmonary function using spirometric measurements. Journal of Mechanics in Medicine and Biology 2007; 7: 151–161
  • Mahesh V., Ramakrishnan S. Assessment and classification of normal and restrictive respiratory conditions through pulmonary function test and neural network. Journal of Medical Engineering and Technology 2007; 31: 300–304

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