【摘要】 测定了关节变形强直性脊柱炎患者及健康人头发样本中的十五种微量元素含量 ,运用计算机模式识别技术研究两类样本的微量元素谱差异 ,选择Ca、Pb、Zn、Ti、Ni、Mg和Sr元素为特征参量 ,用马氏距离法对两类样本进行回判和预报 ,其准确率均高于 92 % ,高维空间分类成功 ,表明两类人的微量元素谱确实存在明显差异更多还原

【Abstract】 The content of 15 kinds of trace elements in hair swatches which was collected from healthy people and sufferers with arthrosis rigidity rachitis were measeured.Computer pattern recognition technology was used to study the difference of the trace element table from the two kinds of swatches.Ca,Pb,Zn,Ti,Ni,Mg and Sr were selected as the character parameter.Mahalamobis distance decision method was used to judge and predict the swatches and the correct rate was above 92%.The research show that the evidente differences exist in the trace element table of the two kinds of people.更多还原