Page 61 - Control Theory in Biomedical Engineering
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48    Control theory in biomedical engineering


             The model can be expressed in mathematical terms using two differ-
          ential equations: (1) and (2) (Hrydziuszko et al., 2014, 2015). The first
          equation expresses the rate of change in the mass of cholesterol (m 1 )in
          the blood plasma flowing through the liver, while the second describes
          therateofchangeinthe mass of cholesterol(m 2 ) in the peripheral blood
          plasma.

                                k
                          dm 1
                              ¼    + k 21 m 2  k 12 m 1 + m in  m out   (1)
                           dt   m 1
                           dm 2
                               ¼ k 21 m 2 + k 12 m 1  m tis + m diet    (2)
                            dt
             The amount of cholesterol in the first compartment depends on the
          following:
          1. therateof de novo synthesis of cholesterol in the liver (expressed by
             k/m 1 ,where k is the kinetic parameter), which is inversely propor-
             tional to m 1 ;
          2. the rate of cholesterol exchange between the two compartments
             (expressed by k 12 m 1 and k 21 m 2 , where k 12 and k 21 are the effective
             parameters responsible for the complex exchange of processes); and
          3. the kinetics of cholesterol circulation with bile (described by parameters
             m in and m out ).
          In the second compartment, the amount of cholesterol depends on the
          following:
          1. the rate of cholesterol exchange between compartments (expressed by
             k 12 m 1 and k 21 m 2 );
          2. the tissue demand for cholesterol (expressed by parameter m tis ) as a mem-
             brane component or as a substrate for the synthesis of steroid hormones
             and vitamin D; and
          3. the rate of intake of dietary cholesterol (expressed by parameter m diet ).
          Eqs. (1), (2) enable finding analytical stationary solutions, that is, when
                                                                      *
          dm 1 /dt¼0 and dm 2 /dt¼0. These stationary solutions, marked as m 1 and
             *
          m 2 (Eqs. 3 and 4), lead to additional restrictions on the values of the model
          parameters.
                                            k
                                ∗
                              m ¼                                       (3)
                                1
                                   m diet + m in  m out  m tis
               m 2  + m diet m in  m diet m out  kk 12  2m diet m tis  m in m tis + m out m tis + m 2
            ∗    diet                                                     tis
          m ¼
            2
                                 k 21 m diet + m in  m out  m tis Þ
                                    ð
                                                                        (4)
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