近红外光谱分析法鉴别感觉神经和运动神经  

Identifying motor and sensory fiber by near-infrared spectroscopy in combination with clustering analysis

作　　者：卜寿山[1] 曹晓健[2] 吕天润[2] 相秉仁[3] 张继生[1] 尹林[1] 

机构地区：[1]南京医科大学第一附属医院口腔科,210029 [2]南京医科大学第一附属医院骨科,210029 [3]中国药科大学

出　　处：《江苏医药》2010年第24期2946-2948,I0001,共4页Jiangsu Medical Journal

基　　金：江苏省创新人才基金(BK:2005436)

摘　　要：目的探讨近红外光谱(NIRS)分析法在鉴别周围神经运动束和感觉束的可行性。方法采集离体Beagle犬面神经的颞支、颧支、颊支、下颌缘支(均为运动神经)和颈丛皮神经(感觉神经)的漫反射近红外光谱,通过聚类分析法进行归类鉴别。结果面神经和颈丛皮神经的一、二阶导数光谱较为相近,不能直观进行鉴别;经聚类分析可以将两者归为两类,达到直观鉴别的目的 ,准确率90.0%。结论运动神经束和感觉神经束可以经NIRS技术结合聚类分析法快速区分。Objective：To investigate the feasibility of identifying motor and sensory fiber by near-infrared spectroscopy（NIRS） in combination with clustering analysis.Methods：Twenty facial motor nerves and 20 neck cutaneous sensory nerves were harvested from Beagle dogs,which were analyzed with NIRS in combination with clustering analysis.Results：The facial nerves and neck cutaneous nerves had quite similar first-derivative and second-derivative spectra of NIRS and were unable to be directly distinguished.The facial nerves and neck cutaneous nerves could be directly distinguished by clustering analysis with an accuracy rate of 90.0%.Conclusion：Motor nerves and sensory nerves can be identified quickly with NIRS in combination with clustering analysis.

关 键 词：近红外光谱 聚类分析 运动神经 感觉神经 

分 类 号：R651[医药卫生—外科学]