加速度脈波のカオスとSOMから解明するメタボリックシンドローム(<特集>生体情報解析と複雑系科学)

概要

論文の詳細を見る
We attempted metabolic syndrome state estimation with using Self-Organizing Maps (SOM) and chaos for application to plethysmogram information. The acceleration pletysmogram (APG) has been applied clinically as an arteriosclerosis indicator. As conventional studies have reported, self-organized acceleration plethysmogram information showed that trajectory parallel measure method values such as chaotic analysis values are useful for disease state estimation of circulatory failure, arteriosclerosis, or acute inflammation. Moreover, in this study, rather than offering general diagnoses of topical named diseases, suggests the possibility of metabolic syndrome evaluation by the blood flow state. With the cases of the metabolic syndrome, the chaos of APG was simplified, and the characteristic position was occupied on SOM.
2007-12-15