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- 2015
基于小波变换与SVM的ADHD病人分类
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Abstract:
提出基于小波变换的特征提取方法对ADHD病人进行分类研究。采用115名ADHD-200的竞赛静息态功能磁共振数据,首先提取了90个脑区的平均时间序列信号,然后利用小波变换多分辨率分析特性对信号进行3层分解;计算了各个尺度下小波系数的能量值,对能量值进行归一化处理后,将其作为分类特征向量;最后结合SVM分类器采用留一交叉验证法对ADHD病人进行分类。结果表明该方法有助于ADHD病人的分类与诊断。
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