Fuzzy Control of Tidal volume, Respiration number and Pressure value

Yıl 2010, Cilt: 14 Sayı: 2, 98 - 105, 01.12.2010

Hasan Guler Fikret Ata

Öz

-

Anahtar Kelimeler

Mechanical Ventilator, Respiration, Fuzzy Logic, Tidal volume

Tidal Volüm, Solunum Sayısı ve Basınç Değerinin Bulanık Kontrolü

Öz

In this study, control of tidal volume, respiration number and pressure value which are arrived to patient at mechanical ventilator device which is used in intensive care units were performed with fuzzy logic controller. The aim of this system is to reduce workload of aneshesiologist. By calculating tidal volume, respiration number and pressure value, the error Pe(k) between reference pressure value (Pref) and pressure of gas given ill person (Phasta) and error change rate δPe(k) were considered. Performed system is run with the pressure control ventilation (PCV) which is one of the most used modes among other ventilation modes. With the simulation study, it can be said that the obtained datas from the outputs of fuzzy controller are suitable for patients having lung disease.

Anahtar Kelimeler

Mekanik Ventilatör, Respirasyon, Bulanık Mantık, Tidal volüm

Kaynakça

• Perel A, Stock Mc: Handbook of Mechanical Ventilatory support. 1st Ed. Williams and Wilkins,Philadelphia,1992
• Kirby RR, Banner Mj, Downs JB(Eds), Ventilatory Support 1st Ed Churchill Luingstone inc. Newyork 1990
• Smith RA, Respiratory Care MechanicalAnesthesia 2nd Ed. Churchill Livingstone,New York ,1986
• Pillbeam SP „ Mechanical Ventilation: Physiological and Clinical Application‟ 2nd Ed. St Louis,Mosby,1992
• A.Tzavaras, P.R.Weller, B.Spyropoulos, „A Neuro- Fuzzy Controller for the Estimation of Tidal Volum and Respiration Frequency Ventilator Settings for COPD Patients Ventilated in Control Mode‟, Proceedings of the Annual International Conference,of the IEEE,2007
• H.Zhu,K.Möller, „Ventilator Control Based on Fuzzy- Neural Network Approach, Proceedings-30th International Conference-IEEE/EMBS-2008
• D.S.Nelson,J.H.Strickland,T.C.Jannet „Simulation of Fuzzy Control for Management of Respiratory Rate in Assist Control Mechanical Ventilaton‟ Proceedings-19th International Conference-IEEE/EMBS-1997
• C.S.Wang, D.Shaw, K.S.Jih „An Intelligent Control System for Ventilators‟,Medical Engineering & Physics 20- 1998,534-542-Elseiver
• J.L.Larrabe, F.J.Alvarez ,E.G.Cuesta, A.V.Soller, L.F. Alfonso „Development of a Time-Cycled Volume Controlled
• Mechanics System for Total Liquid Ventilator‟ IEEE Transactions on Information Technology in Biomedicine Vol.48 no.10-1134-1142-2001 Respirator and
• Lung [10]H.F.Kwok,D.A.Linkens,M.Mahfouf,G.H.Mills,C.L.Sim pson,K.M.Goode „Fuzzy Logic Knowledge Elicitation for Model Based Ventilator Management in the ICU‟ Proceedings-26th International Conference-IEEE/EMBS- 2002
• P.Cappa,S.A.Scuito „Experimental Analysis of the Airway Circuit Effects on Breathing Pattern Generates by Neonatal
• International Conference-IEEE/EMBS-2000 Ventilators‟
• Proceedings-22nd [12] H.Luepschen,L.Zhu,S.Leonhardt „Robust Closed Loop Control of the Inspired Fraction of Oxygen for the Online Assesment of Recruitment Maneuver‟ Proceedings-29th International Conference-IEEE/EMBS-2007
• Güler.H, “Programlanabilir Lojik kontrolör ile Mekanik Ventilatör Tasarımı”, Fırat.Üniv.Fen Bilimleri Enst. Yük.Lis.Tezi 2007
• Elmas.Ç. “Bulanık Mantık Denetleyiciler”,Seçkin, Ankara,2003
• Siler,L.Ying,H. Fuzzy Control Theory.Elsevier. Fuzzy Set and System 33-1989
• Güler.H, ATA.F, “Calculation of Inspiration and Expiration Time with Fuzzy Logic Controller in Positive Pressure Ventilation" The 6th International Symposium On Intelligent & Manufacturing Systems. 14-17 October 2008- Sakarya