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This paper introduces two new models of the respiratory system, the Mead-Cw model and the Mead-C1 model which are closely related to the well-known 7-component Mead model. These 6-component models are intermediate in complexity when compared to the 5-component augmented RIC (or Mead-Cw-C1) and the 7-component Mead model. Like for other well-known respiratory system models, their component parameters can be derived from impulse oscillometry data of healthy and sick adults. Their modeling errors as well as other important factors were compared with the RIC, extended RIC, augmented RIC and Mead models. The two new models yielded the lowest errors compared to the other models, except for the Mead model. However, the Mead-C1 model and the Mead-Cw model also yielded unreasonably large values for Cw and C1, respectively, which are known disadvantages of the Mead model.
Region 5 Technical Conference, 2007 IEEE
Date of Conference: 20-22 April 2007