Dynamic pulse rate variability extraction method based on improved sliding window iterative DFT

	Dynamic pulse rate variability extraction method based on improved sliding window iterative DFT
	Chou, Yongxin 1,2; Zhang, Aihua 1,2; Yang, Xiaohua 3
刊名	Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument
	2015-04-01
卷号	36 期号:4 页码:812-821
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
ISSN号	02543087
英文摘要	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.
语种	中文
出版者	Science Press
内容类型	期刊论文
源URL	[http://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.Key Laboratory of Gansu Advanced Control for Industrial Processes, Gansu Provincial Sci. & Tech. Department, Lanzhou; 730050, China; 2.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou; 730050, China; 3.Hospital of Lanzhou University of Technology, Lanzhou; 730050, China
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.