Advanced prediction method of biological tissue mechanical response based on hybrid prediction model

Abstract

The mechanical response of biological tissue is an important basis for evaluating its state during the surgical operation. Accurate prediction of mechanical response is helpful to improve the precision of surgical operation. In this paper, An advanced prediction method based on hybrid prediction model is proposed and used to predict the mechanical response of soft tissue. Firstly, the simulation model of soft tissue indentation experiment was established to obtain the mechanical response under continuous loading condition. The mechanical response of kindy tissue under discontinuous loading was obtained by the actual indentation experiment. Secondly, the mechanical response is predicted and the influence of loading parameters on the prediction accuracy is analyzed. The mechanical response under continuous loading was obtained by simulation, and the mechanical response under non-continuous loading was obtained by indentation experiment. The proposed advanced prediction method is verified by the obtained mechanical responses. The results show that the proposed method can predict the mechanical response of soft tissue well. The proposed prediction algorithm is helpful to predict the mechanical response in advance and avoid the potential tissue damage caused by surgical operation.