Human tissue model parameter online identification method applicable to minimally invasive surgery
A technology of human tissue and model parameters, which is applied in the fields of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of increasing the cost of surgery for patients, increasing the cost, and increasing the cost of minimally invasive surgical instruments.
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[0051] A method for online identification of human tissue model parameters suitable for minimally invasive surgery, the method comprising the following steps:
[0052] Step 1: Establish a human tissue analysis calculation model;
[0053] Step 2: Design a method for detecting the force of human tissue based on the force-torque sensor;
[0054] Step 3: Based on the model established in step 1, construct an online detection method for model parameters, and calculate and obtain human tissue parameters;
[0055] In the step 1, a linear Kelvin-Voigt model or a nonlinear Hunt-Crossley model of human tissue is established according to the actual design requirements of the compliance controller of the minimally invasive surgical instrument. The linear Kelvin-Voigt model is the simplest way to describe the mechanical impedance of human tissue. The model compares human tissue to an elastic body composed of ideal viscoelastic materials, and the specific dynamic characteristics are repre...
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[0081] Specific embodiments: the following takes the linear Kelvin-Voigt model of human tissue as an example to illustrate the online identification process of model parameters without using a force-torque sensor. The human tissue model is expressed by formula (1):
[0082] F ( t ) = Kx ( t ) + B x · ( t ) , x ≥ 0 0 , x 0 ...
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