天津科技大学学报Issue(2)：50-53,70,5.DOI:10.13364/j.issn.1672-6510.2014.02.011
基于模式识别的人体肺癌电阻抗检测方法研究
Impedance Detection of Human Lung Cancer Based on Pattern Recognition
摘要
Abstract
According to the impedance spectrum theory and pattern recognition theory,the impedance of the malignant tissue and the non-tumor tissue were measured for identification of lung cancer. With the Agilent4294A impedance analyzer measuring the impedances,the impedance values were obtained under 100,Hz-100,MHz excitation currents. Fitted by the least squares,the parameters in Cole-Cole equation were calculated. All the measured data were divided into a training set and a testing set. Two different linear classifiers based on LMSE and Fisher algorithm were designed. After training,the clas-sification functions were obtained to distinguish the testing set. The research results indicated that LMSE and Fisher algo-rithms can classify the malignant tissue and non-tumor tissue effectively,which is also consistent with the pathological re-sults. It is verified that the method is feasible and reliable in identifying the nature of the tissue,and it can provide an effec-tive screening way for early cancer detection.关键词
模式识别/肺癌/阻抗测量/LMSE算法/Fisher算法Key words
pattern recognition/lung cancer/impedance measurement/LMSE/Fisher分类
医药卫生引用本文复制引用
陈晓艳,赵秋红..基于模式识别的人体肺癌电阻抗检测方法研究[J].天津科技大学学报,2014,(2):50-53,70,5.基金项目
国家自然科学基金青年基金资助项目(61301246)；天津市自然科学基金资助项目(12JCYBJC19500) （61301246）
