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Analysis of Pulmonary and Hemodynamic Parameters for the Weaning Process by Using Fuzzy Logic Based Technology

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Information and Software Technologies (ICIST 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 639))

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Abstract

This study aims to achieve accurate weaning process which is very important for patient under mechanical ventilation. The developed weaning algorithm was designed on LabVIEW software and fuzzy system designer part of LabVIEW software was used during to develop that algorithm. The developed weaning algorithm has six input parameters which are maximum inspiratory pressure (MIP), tidal volume on spontaneous breathing (TVS), minute ventilation (VE), heart rate, respiration per minute (RPM) and body temperature. 20 clinical scenarios were generated by using Monte-Carlo simulations and Gaussian distribution method to evaluate performance of the developed algorithm. An expert clinician was involved to this process to evaluate the each generated clinic scenario to determine weaning probability for the each patient. Student t-test for p < 0.05 was used to show statistical difference between the developed algorithm and clinician’s evaluation. According to student t-test, there is no statistical difference for 98.2 % probability between the developed algorithm and the clinician’s evaluation of weaning probability.

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References

  1. Hsu, J.C., Chen, Y.F., Du, Y.D., Huang, Y.F., Jiang, X., Chen, T.: Design of a clinical decision support for determining ventilator weaning using support vector machine. Int. J. Innovative Comput. Inf. Control 8(1(B)), 933–952 (2012)

    Google Scholar 

  2. Brochard, L., Rauss, A., Benito, S., Conti, G., Mancebo, J., Rekik, N., Gasparetto, A., Lemaire, F.: Comparison of three methods of gradual withdrawal from ventilatory support during weaning from mechanical ventilation. Am. J. Respir. Crit. Care Med. 150, 896–903 (1994)

    Article  Google Scholar 

  3. Koyuncu, A., Yava, A., Kurkluoglu, M., Guler, A., Demirkilic, U.: Weaning from mechanical ventilation and nursing. Turk. J. Thorac. Cardiovasc. Surg. 19(4), 671–681 (2011)

    Article  Google Scholar 

  4. Esteban, A., Alia, I., Ibanez, J., et al.: Modes of mechanical ventilation and weaning. A national survey of Spanish hospitals. Chest 106, 1188–1193 (1994)

    Article  Google Scholar 

  5. Bates, J.H.T., Young, M.P.: Applying fuzzy logic to medical decision making in the intensive care unit. Am. J. Respir. Crit. Care Med. 167, 948–952 (2003)

    Article  Google Scholar 

  6. Eskandar, N., Apostolakos, M.J.: Weaning from mechanical ventilation. Crit. Care Clin. 23(2), 263–274 (2007)

    Article  Google Scholar 

  7. MacIntyre, N.R.: Evidence-based guidelines for weaning and discontinuing ventilatory support. Chest 120, 375–396 (2001)

    Google Scholar 

  8. Esteban, A., Frutos, F., Tobin, M.J., Alia, I., Solsona, J.F., Valverdu, I., Fernandez, R., Cal, M.A.D.L., Benito, S., Tomas, R., Carriedo, D., Macias, S., Blanco, J.: A comparison of four methods of weaning patients from mechanical ventilation. N. Engl. J. Med. 332, 345–350 (1995)

    Article  Google Scholar 

  9. Krishnan, J.A., Moore, D., Robeson, C., Rand, C.S., Fessler, H.E.: A Prospective, controlled trial of a protocol-based strategy to discontinue mechanical ventilation. Am. J. Respir. Crit. Care Med. 169, 673–678 (2004)

    Article  Google Scholar 

  10. Guler, H., Ata, F.: Development of a fuzzy-based tidal volume algorithm for patients with respiratory distress. J. Fac. Eng. Archit. Gazi Univ. 29(4), 699–706 (2014)

    Google Scholar 

  11. Bien, M.Y., Lin, Y.S., Shie, H.G., Yang, Y.L., Shih, C.H., Wang, J.H., Cheng, K.C.: Rapid Shallow Breathing Index and Its predictive accuracy measured under five different ventilatory strategies in the same patient group. Chin. J. Physiol. 53(1), 1–10 (2010)

    Article  Google Scholar 

  12. Yang, K.L., Tobin, M.J.: A prospective study of indexes predicting the outcome of trials of weaning from mechanical ventilation. N Engl. J. Med. 324, 1445–1450 (1991)

    Google Scholar 

  13. Bien, M.Y., Hseu, S.S., Yien, H.W., Kuo, B.I., Lin, Y.T., Wang, J.H., Kou, Y.R.: Breathing pattern variability: a weaning predictor in postoperative patients recovering from systemic inflammatory response syndrome. Intensive Care Med. 30(2), 241–247 (2004)

    Article  Google Scholar 

  14. Vassilakopoulos, T., Zakynthinos, S., Roussos, C.: The tension-time index and the frequency/tidal volume ratio are the major pathophysiologic determinants of weaning failure and success. Am. J. Respir. Crit. Care Med. 158(2), 378–385 (1998)

    Article  Google Scholar 

  15. Bellemare, F., Grasino, A.: Effect of pressure and timing of contraction of the human diaphragm fatigue. J. Appl. Physiol. 53, 1190–1195 (1982)

    Article  Google Scholar 

  16. Nemoto, T., Hatzakis, G.E., Thorpe, C.W., Olivenstein, R., Dial, S., Bates, J.H.T.: Automatic control of pressure support mechanical ventilation using fuzzy logic. Am. J. Respir. Crit. Care Med. 160(2), 550–556 (1999)

    Article  Google Scholar 

  17. Alia, I., Esteban, A.: Weaning from mechanical ventilation. Crit. Care 4(2), 72–80 (2000)

    Article  Google Scholar 

  18. Butler, R., Keenan, S.P., Inman, K.J., Sibbald, W.J., Block, G.: Is there a preferred technique for weaning the difficult to wean patient? A systematic review of the literature. Crit. Care Med. 27(11), 2331–2336 (1999)

    Article  Google Scholar 

  19. Ely, E.W., et al.: Effect on the duration of mechanical ventilation of identifying patients capable of breathing spontaneously. N Eng. J. Med. 335(25), 1864–1869 (1996)

    Article  Google Scholar 

  20. Kilic, Y.A., Kilic, I.: A novel fuzzy logic inference system for decision support in weaning from mechanical ventilation. J. Med. Syst. 34(6), 1089–1095 (2010)

    Article  Google Scholar 

  21. Wannenburg, J., Malekian, R.: Body sensor network for mobile health monitoring a diagnosis and anticipating system. IEEE Sens. J. 15(12), 6839–6852 (2015)

    Article  Google Scholar 

  22. Wannenburg, J., Malekian, R.: Physical activity recognition from smartphone accelerometer data for user context awareness sensing. IEEE Trans. Syst. Man Cybern. Syst. PP(99), 1–8 (2016)

    Article  Google Scholar 

  23. Kroese, D.P., Brereton, T., Taimre, T., Botev, Z.I.: Why the Monte Carlo method is so important today. WIREs Comput. Stat. 6, 386–392 (2014)

    Article  Google Scholar 

  24. Guler, H., Turkoglu, I., Ata, F.: Designing intelligent mechanical ventilator and user interface using LabVIEW (R). Arab. J. Sci. Eng. 39(6), 4805–4813 (2014)

    Article  Google Scholar 

  25. Guler, H., Ata, F.: Design of a fuzzy-labview-based mechanical ventilator. Comput. Syst. Sci. Eng. 29(3), 219–229 (2014)

    Google Scholar 

  26. Guler, H., Ata, F.: The comparison of manual and LabVIEW-based fuzzy control on mechanical ventilation. Proc. Inst. Mech. Eng. Part H-J. Eng. Med. 228(9), 916–925 (2014)

    Article  Google Scholar 

  27. Guzel, S., Kaya, T., Guler, H.: LabVIEW -based analysis of EEG signals in determination of sleep stages. In: 23th Signal Processing and Communications Applications Conference (SIU), pp. 799–802 (2015)

    Google Scholar 

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Acknowledgements

This study is part of a project funded by FUBAP grant no. MF.13.21 and HUBAP grant no. 15130. The authors would like to thank Firat University Hospital-Anesthesia ICU doctors for their invaluable evaluations.

Author information

Authors and Affiliations

  1. Department of Avionics, School of Civil Aviation, Erzincan University, Erzincan, Turkey

    Ugur Kilic

  2. Electrical Electronics Engineering Department, Harran University, Sanliurfa, Turkey

    Mehmet Tahir Gulluoglu

  3. Electrical Electronics Engineering Department, Firat University, Elazig, Turkey

    Hasan Guler & Turgay Kaya

Authors
  1. Ugur Kilic
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  2. Mehmet Tahir Gulluoglu
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  3. Hasan Guler
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  4. Turgay Kaya
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Corresponding author

Correspondence to Ugur Kilic .

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Editors and Affiliations

  1. Kaunas University of Technology , Kaunas, Lithuania

    Giedre Dregvaite

  2. Kaunas University of Technology , Kaunas, Lithuania

    Robertas Damasevicius

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© 2016 Springer International Publishing Switzerland

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Kilic, U., Gulluoglu, M.T., Guler, H., Kaya, T. (2016). Analysis of Pulmonary and Hemodynamic Parameters for the Weaning Process by Using Fuzzy Logic Based Technology. In: Dregvaite, G., Damasevicius, R. (eds) Information and Software Technologies. ICIST 2016. Communications in Computer and Information Science, vol 639. Springer, Cham. https://doi.org/10.1007/978-3-319-46254-7_10

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  • DOI: https://doi.org/10.1007/978-3-319-46254-7_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46253-0

  • Online ISBN: 978-3-319-46254-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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