A Novel Continuous Visual Analog Scale Model Derived from Pain-relief Demand Index via Hilbert Huang Transform for Postoperative Pain

NCU Institutional Repository > 研究中心 > 數據分析方法研究中心 > 期刊論文 > Item 987654321/50656

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/50656

题名:	A Novel Continuous Visual Analog Scale Model Derived from Pain-relief Demand Index via Hilbert Huang Transform for Postoperative Pain
作者:	Yeh,JR;Sun,WZ;Wen,YR;Shieh,JS
贡献者:	數據分析方法研究中心
关键词:	RATING-SCALES
日期:	2011
上传时间:	2012-03-27 17:50:23 (UTC+8)
出版者:	國立中央大學
摘要:	In this investigation, we proposed a continuous pain intensity scaling model derived from an innovative parameter of pain-relief demand (PRD) index for acute postoperative patients of gynecology using patient-controlled analgesia (PCA) via the occurrence frequency of pain-relief demands. To derive PRD, a simplified fluctuation time series of pain feeling was simulated according to the distribution of pain-relief demands using an exponential decay function. Furthermore, we applied the Hilbert Huang transform to obtain the time-amplitude distribution of the first intrinsic mode function (IMF) of fluctuation time series and defined the PRD index using a function of amplitude. A total of 2466 visual analogue scale (VAS) values derived from interviews with 470 postoperative patients at various time points were compared with this PRD index extracted from the PCA records of the same patients. According to the statistical result of one-way analysis of variance (ANOVA, P < 0.001), VAS was significantly linearly dependent on the PRD index. Although the result of this VAS model is not a perfect linear relationship between VAS and PRD index (r = 0.490), it is significantly better than the result of our previous study using a novel fuzzy pain demand index (FPD). This result shows this approach is promising for further study.
關聯:	JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING
显示于类别:	[數據分析方法研究中心 ] 期刊論文

文件中的档案:

档案	描述	大小	格式	浏览次数
index.html		0Kb	HTML	1139	检视/开启

在NCUIR中所有的数据项都受到原著作权保护.

社群 sharing

数据加载中.....