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Dynamic pulse rate variability extraction method based on improved sliding window iterative DFT | |
Chou, Yongxin1,2; Zhang, Aihua1,2; Yang, Xiaohua3 | |
2015-04-01 | |
发表期刊 | Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument |
ISSN | 02543087 |
卷号 | 36期号:4页码:812-821 |
摘要 | Aiming at the defects that the existing pulse rate variability (PRV) extraction methods are sensitive to noise and sampling frequency, and require heavy computation, a new method is proposed to extract pulse rate variability (PRV) from the fundamental component of dynamic PhotoPlethysmoGraphy (PPG) signal. Through simplifying the sliding window iterative Discrete Fourier Transform (DFT) and adaptively adjusting the sliding window width, the computation speed and accuracy of fundamental component of the dynamic pulse rate signal are improved. Furthermore, the dynamic difference threshold and manual detection method are combined to extract the PRV signal, which is used as a criterion to analyze the accuracy of the proposed method. The proposed method was used to extract the PRV signals of the PPG signals under the conditions of various sampling frequencies and various noise levels, as well as when the subjects are in different states (rest, visual fatigue, arrhythmia and etc.). Experiments were designed to verify the accuracy and real-time performance of this method in extracting the Dynamic Pulse Rate Variability (DPRV) signals. The results show that the proposed method still has high accuracy under the conditions of different sampling frequencies, different noise levels as well as when the subjects are in different states; and the proposed method can extract the dynamic pulse rate variability (DPRV) accurately and in real-time. ©, 2015, Science Press. All right reserved. |
关键词 | Discrete Fourier transforms Extraction Photoplethysmography Signal processing Signal sampling Difference threshold Fundamental component Photoplethysmography (PPG) Portable medical device Pulse rate variability Real time performance Sampling frequencies Sliding Window |
收录类别 | EI |
语种 | 中文 |
出版者 | Science Press |
EI入藏号 | 20152200887410 |
EI主题词 | Iterative methods |
EI分类号 | 461.6 Medicine and Pharmacology - 716.1 Information Theory and Signal Processing - 802.3 Chemical Operations - 921.3 Mathematical Transformations - 921.6 Numerical Methods - 922 Statistical Methods |
来源库 | Compendex |
分类代码 | 461.6 Medicine and Pharmacology - 716.1 Information Theory and Signal Processing - 802.3 Chemical Operations - 921.3 Mathematical Transformations - 921.6 Numerical Methods - 922 Statistical Methods |
文献类型 | 期刊论文 |
条目标识符 | https://ir.lut.edu.cn/handle/2XXMBERH/113123 |
专题 | 电气工程与信息工程学院 校医院 |
作者单位 | 1.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou; 730050, China; 2.Key Laboratory of Gansu Advanced Control for Industrial Processes, Gansu Provincial Sci. & Tech. Department, Lanzhou; 730050, China; 3.Hospital of Lanzhou University of Technology, Lanzhou; 730050, China |
第一作者单位 | 兰州理工大学 |
第一作者的第一单位 | 兰州理工大学 |
推荐引用方式 GB/T 7714 | Chou, Yongxin,Zhang, Aihua,Yang, Xiaohua. Dynamic pulse rate variability extraction method based on improved sliding window iterative DFT[J]. Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument,2015,36(4):812-821. |
APA | Chou, Yongxin,Zhang, Aihua,&Yang, Xiaohua.(2015).Dynamic pulse rate variability extraction method based on improved sliding window iterative DFT.Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument,36(4),812-821. |
MLA | Chou, Yongxin,et al."Dynamic pulse rate variability extraction method based on improved sliding window iterative DFT".Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument 36.4(2015):812-821. |
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