| 王炳和,相敬林.基于AR模型的人体脉象信号模糊聚类研究[J].,2001,20(5):21-25 |
| 基于AR模型的人体脉象信号模糊聚类研究 |
| Fuzzy clustering of human body pulse signals based on AR model |
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| 中文摘要: |
| 根据一种新的模糊聚类方法 －Ｆ－ＰＦＳＲ（Ｆｕｚｚｙ Ｐｓｅｕｄｏ Ｆ－Ｓｔａｔｉｓｔｉｃ Ｒａｉｏ）聚类法，对人体 脉搏声信号（脉象信号）进行了聚类识别研究．首先对脉搏声信号作８阶ＡＲ模型拟合，模型系数 构成信号的特征集，其次采用Ｋ－Ｌ变换对特征集进行了压缩，最后对临床实测脉象信号进行了聚类 分析．实验结果表明，本文的聚类方法是可行和有效的． |
| 英文摘要: |
| The human body pulse signals are clustered on the basis of a new kind of fuzzy clustering method - F-PFSR Clustering Method. Firstly the pulse signals are processed with AR model, the coefficients of the AR model constituting the characteristic sets of the signals. Secondly the characteristic sets are compressed by K-L transform. Lastly the pulse signals measured in clinic are clustered and analyzed. Experimental results show that our clustering method is effective. |
| DOI：10.11684/j.issn.1000-310X.2001.05.007 |
| 中文关键词: 脉搏声信号 AR模型与K-L变换 F-PFSR聚类法 |
| 英文关键词: Pulse sound signal AR model and K-L transform F-PFSR clustering method |
| 基金项目:国家自然科学基金资助项目;陕西省自然科学基金资助项目 |
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