Abstract

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Title:: Tongue motion trajectory simulation based on the X-ray video of swallowing angiography

Author(s):: WU Yue1; QIAN Shanhua1; DENG Dajian2; WANG Zhiyong3; 1. School of Mechanical Engineering, Jiangnan University, Wuxi 214122, China 2. The Fifth Military Commission Office in Chongqing District, Banan 400054, China 3. The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China

Keywords:: food swallowing tongue root point trajectory equation neural network

Abstract:: To improve the quality of swallowing for the patients with dysphagia, it is necessary to analyze the tongue motions during swallowing. Based on the X-ray video of swallowing angiography, the characteristic images are extracted for analyzing the tongue motions during swallowing. Herein 3 different methods are used to investigate the tongue motion trajectory equation. The results indicated that the tongue motions are composed of tongue root point and several motor points. The motion of tongue root point is approximate to an ellipse, while those of tongue motor points are similar to reciprocating straight lines. The correlation coefficients between original trajectory and the simulated trajectories obtained by the fitting equations of 3 methods, namely multiple nonlinear curve-fitting method, Lsqnonlin optimization of 5 level polynomial function and back-propagation neural network method, were 0.85, 0.87 and 0.91, respectively. The neural network model is found to be more suitable for the simulation of tongue motion trajectory. These results will provide valuable technical reference for the development of functional food and swallowing device in vitro.