A Novel Continuous Blood Pressure Estimation Approach Based on Data Mining Techniques
文献类型：期刊论文
| 作者 | Fen Miao; Nan Fu; Yuan-Ting Zhang; Xiao-Rong Ding; Xi Hong; Qingyun He; Ye Li |
| 刊名 | IEEE Journal of Biomedical and Health Informatics
 |
| 出版日期 | 2017 |
| 文献子类 | 期刊论文 |
| 英文摘要 | Continuous blood pressure (BP) estimation using pulse transit time (PTT) is a promising method for unobtrusive BP measurement. However, the accuracy of this approach must be improved for it to be viable for a wide range of applications. This study proposes a novel continuous BP estimation approach that combines data mining techniques with a traditional mechanism-driven model. First, 14 features derived from simultaneous electrocardiogram and photoplethysmogram signals were extracted for beat-to-beat BP estimation. A genetic algorithm-based feature selection method was then used to select BP indicators for each subject. Multivariate linear regression and support vector regression were employed to develop the BP model. The accuracy and robustness of the proposed approach were validated for static, dynamic, and follow-up performance. Experimental results based on 73 subjects showed that the proposed approach exhibited excellent accuracy in static BP estimation, with a correlation coefficient and mean error of 0.852 and −0.001 ± 3.102 mmHg for systolic BP, and 0.790 and −0.004 ± 2.199 mmHg for diastolic BP. Similar performance was observed for dynamic BP estimation. The robustness results indicated that the estimation accuracy was lower by a certain degree 1 day after model construction but was relatively stable from 1 day to 6 months after construction. The proposed approach is superior to the state-of-the-art PTT-based model for an approximately 2-mmHg reduction in the standard derivation at different time intervals, thus providing potentially novel insights for cuffless BP estimation. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/12622]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | IEEE Journal of Biomedical and Health Informatics |
| 推荐引用方式 GB/T 7714 | Fen Miao,Nan Fu,Yuan-Ting Zhang,et al. A Novel Continuous Blood Pressure Estimation Approach Based on Data Mining Techniques[J]. IEEE Journal of Biomedical and Health Informatics,2017. |
| APA | Fen Miao.,Nan Fu.,Yuan-Ting Zhang.,Xiao-Rong Ding.,Xi Hong.,...&Ye Li.(2017).A Novel Continuous Blood Pressure Estimation Approach Based on Data Mining Techniques.IEEE Journal of Biomedical and Health Informatics. |
| MLA | Fen Miao,et al."A Novel Continuous Blood Pressure Estimation Approach Based on Data Mining Techniques".IEEE Journal of Biomedical and Health Informatics (2017). |
入库方式： OAI收割
来源：深圳先进技术研究院
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