Cuffless and Continuous Blood Pressure Estimation based on Multiple Regression Analysis
文献类型：会议论文
| 作者 | Zixiao Shen; Fen Miao; Qinghan Meng; Ye Li |
| 出版日期 | 2015 |
| 会议名称 | 2015 IEEE International Conference on Information Science and Technology |
| 会议地点 | Changsha, China |
| 英文摘要 | This paper proposes a new method which utilizes the multiple parameters to estimate blood pressure continuously. Five parameters extracted from ECG and PPG are used to fit the values of systolic blood pressure (SBP), mean arterial pressure (MAP) and diastolic blood pressure (DBP). 10 healthy subjects were recruited to take part in the measurement of ECG, PPG and continuous blood pressure. Three different equations are established to estimate the above three blood pressures by using stepwise regression method. The estimated algorithm has been verified on an independent dataset. The mean error of the estimation is less than 6 mmHg and the standard deviation of the error is less than 6.5 mmHg among all the blood pressure of the dataset. This demonstrates the effectiveness of the proposed method with certain ability to predict the blood pressure. In the near future, we will improve and validate this method on other databases with additional parameters or new statistical methods. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/7279]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | 2015 |
| 推荐引用方式 GB/T 7714 | Zixiao Shen,Fen Miao,Qinghan Meng,et al. Cuffless and Continuous Blood Pressure Estimation based on Multiple Regression Analysis[C]. 见:2015 IEEE International Conference on Information Science and Technology. Changsha, China. |
入库方式： OAI收割
来源：深圳先进技术研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。