Yinan Deng, Tangwen Yang, Shaotao Dai, Song Guoli
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:984-987. doi: 10.1109/EMBC44109.2020.9176031.
This paper presents a signal analysis approach to identify the contact objects at the tip of a flexible ureteroscope. First, a miniature triaxial fiber optic sensor based on Fiber Bragg Grating(FBG) is devised to measure the interactive force signals at the ureteroscope tip. Due to the multidimensional properties of these force signals, the principal components analysis(PCA) method is introduced to reduce dimensions. The signal features are then extracted from the representative principal component signals using the wavelet transform(WT) method. Experimental results show that the contact objects at the tip of a ureteroscope are readily discriminated from the measured force signals with the proposed approach.Clinical Relevance-This work commits to analyze the contact force signals at the tip of a flexible ureteroscope for the purpose of contact objects identification.
本文提出了一种用于识别柔性输尿管镜尖端接触物体的信号分析方法。首先，设计了一种基于光纤布拉格光栅（FBG）的微型三轴光纤传感器，以测量输尿管镜尖端的相互作用力信号。由于这些力信号具有多维特性，引入主成分分析（PCA）方法进行降维。然后使用小波变换（WT）方法从代表性主成分信号中提取信号特征。实验结果表明，采用所提出的方法可以很容易地从测量的力信号中区分出输尿管镜尖端的接触物体。临床相关性——这项工作致力于分析柔性输尿管镜尖端的接触力信号，以识别接触物体。
