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. Author manuscript; available in PMC: 2018 Oct 1.
Published in final edited form as: J Mech Behav Biomed Mater. 2017 May 19;74:164–175. doi: 10.1016/j.jmbbm.2017.05.027

Table 2.

Best fit material parameters for the Rausch-Humphrey model

Patient sample number Parameters of the Rausch-Humphrey model See Eqs.(5) and (6)

λ μ0 μ1 β δ
US1-P3-Feb-0000 1.35 4.12E-03 873 70 1.21
US3-P5-Apr-1811 1.28 6.46E-03 891 75 1.13
US2-P6-Apr-1627 1.44 9.27E-03 903 60 1.31
US1-P4-Mar-Irrad 1.16 1.33E-03 892 31 1.10
US1-P4-May-Irrad 1.19 4.07E-04 825 41 1.08
US1-P2-Feb-Scarred 1.16 5.19E-03 899 33 1.11
US1-P1-Jan-1313 1.54 2.75E-02 859 57 1.42
US1-P1-May-0000 1.54 1.77E-03 866 57 1.42
US1-P5-Apr-1644 1.26 1.34E-01 895 81 1.09
US2-P5-Apr-1716 1.28 1.95E-02 892 90 1.10
US2-P5-Apr-1747 1.28 3.49E-04 867 71 1.13
US2-P5-May-1040 1.40 6.60E-04 834 62 1.26
US2-P5-May-1235 1.44 3.06E-04 812 62 1.30
US2-P6-Apr-1715 1.44 4.25E-03 867 53 1.32
US3-P6-Apr-1808 1.44 1.72E-02 868 71 1.31
US3-P6-May-000 1.40 8.25E-03 886 65 1.29
US4-P6-Apr-1857 1.44 4.75E-03 867 58 1.33
US2-P1-Jan-1334 1.54 1.33E-03 869 58 1.42
US3-P5-Apr-1829 1.35 5.57E-03 879 70 1.22
Average 0.015 870 66.2 1.27
Standard deviation 0.033 23 9.81 0.111
Count 16 16 16 16
95% confidence interval 0.016 11 4.90 0.06

The sample numbering scheme is the same as identified in Table 1. The rows in bold, italics have been excluded in obtaining the average, standard deviation, etc.