In order to realize the realistic visual sense and touch sense in virtual surgery

we need established accurate soft tissue deformation model. From the view of real soft tissue deformation

this article combines the theory of system identification to quantitatively model soft tissue. Considering the anisotropy of soft tissue

we collected horizontal and vertical deformation data of soft tissue respectively

and established the relationship between stress and strain of soft tissue by using LS-SVR

so as to complete the deformation modeling of soft tissue in horizontal and vertical directions. At the same time

we can realize the admittance control of the input and output deformation in virtual surgery system by sampling the points on the soft tissue surface. By comparing the deformation results of the system identification output with the real deformation data

the identification results have higher accuracy

and can satisfy the requirements of the virtual surgery system.