TY - JOUR
T1 - In situ biomechanical properties of normal and diabetic nerves
T2 - An efficient quasi-linear viscoelastic approach
AU - Chen, Rung Jian
AU - Lin, Chou Ching K.
AU - Ju, Ming Shaung
N1 - Funding Information:
The support from NSC Grant 94-2614-E-006-082 of Taiwan is gratefully acknowledged.
PY - 2010/4
Y1 - 2010/4
N2 - Biomechanical properties of nerves were investigated using the quasi-linear viscoelastic model. An improved parameter estimation technique based on fast convolution was developed and tested in sciatic nerves of normal and diabetic rats. In situ dynamic compression response of sciatic nerves was obtained by a modified custom-designed compression system. Six normal and five diabetic neuropathic Wistar rats were used. The model derived from the high strain rate (0.1s-1) data could predict the responses of lower strain rates (0.05 and 0.01s-1) satisfactorily. The computation time was cut down 49.0% by using the newly developed technique without increasing the root-mean-square error. The percentage of stress relaxation of the diabetic and normal rats, calculated directly from the experimental data, was not significantly different (51.03±1.96% vs. 55.97±5.89%, respectively; p=0.247). After model fitting, compared with the QLV parameters of normal nerves, the smaller parameter C for diabetic nerves (0.27±0.06 vs. 0.20±0.02, p < 0.05) indicated that diabetic nerves had a smaller amplitude of viscous response (stress relaxation). The larger parameter τ2 of diabetic nerves (199±153s vs. 519±337s, p<0.05) implied that diabetic nerves needed a longer relaxation period to reach equilibrium.
AB - Biomechanical properties of nerves were investigated using the quasi-linear viscoelastic model. An improved parameter estimation technique based on fast convolution was developed and tested in sciatic nerves of normal and diabetic rats. In situ dynamic compression response of sciatic nerves was obtained by a modified custom-designed compression system. Six normal and five diabetic neuropathic Wistar rats were used. The model derived from the high strain rate (0.1s-1) data could predict the responses of lower strain rates (0.05 and 0.01s-1) satisfactorily. The computation time was cut down 49.0% by using the newly developed technique without increasing the root-mean-square error. The percentage of stress relaxation of the diabetic and normal rats, calculated directly from the experimental data, was not significantly different (51.03±1.96% vs. 55.97±5.89%, respectively; p=0.247). After model fitting, compared with the QLV parameters of normal nerves, the smaller parameter C for diabetic nerves (0.27±0.06 vs. 0.20±0.02, p < 0.05) indicated that diabetic nerves had a smaller amplitude of viscous response (stress relaxation). The larger parameter τ2 of diabetic nerves (199±153s vs. 519±337s, p<0.05) implied that diabetic nerves needed a longer relaxation period to reach equilibrium.
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U2 - 10.1016/j.jbiomech.2009.12.002
DO - 10.1016/j.jbiomech.2009.12.002
M3 - Article
C2 - 20060975
AN - SCOPUS:77950689574
SN - 0021-9290
VL - 43
SP - 1118
EP - 1124
JO - Journal of Biomechanics
JF - Journal of Biomechanics
IS - 6
ER -