Fast mathematical morphological filtering method and its application on pulse signal processing

doi:10.19650/j.cnki.cjsi.J1905818

	Fast mathematical morphological filtering method and its application on pulse signal processing
	Chou, Yongxin 3; Zhang, Aihua 1; Gu, Ya 3; Liu, Jicheng 3; Feng, Yufeng 2
刊名	Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument
	2020-02-01
卷号	41 期号:2 页码:253-262
关键词	Iterative methods Mathematical morphology Filtering accuracies Linear structuring elements Mathematical morphological filtering Microprocessor systems One dimensional signal Real time requirement Real-time signal processing Structuring element
ISSN号	02543087
DOI	10.19650/j.cnki.cjsi.J1905818
英文摘要	In the actual one-dimensional signal processing, the mathematical morphological filtering method (MMFM) has a large amount of operation. To address this issue, a fast mathematical morphological filtering method (FMMFM) is proposed in this study. First, the erosion operation is modified to realize the real-time signal processing. Then, the data updating process of buffer in the microprocessor system is combined with the theory of MMFM. The iteration of sliding window is used to improve the time consumption of MMFM. In further, the smooth filtering method is also improved to speed up the optimization of the FMMFAM results. The measured pulse signals are used as experimental data. Compared with the MMFM, results show that the FMMFM can effectively reduce the calculation time (speed up over 70 times) and keep the filtering accuracy unchanged. The FMMFM with flat and linear structuring elements have faster filtering speed than those of other elements (speed up over 110 times). The proposed method can still process the signal in real-time (less than 4.5 s for the signals of 240 s) as the increase of the lengths of structuring element and buffer. It can be employed in pulse signal filtering, segmenting and feature extracting in real-time (less than 45 s). Therefore, the proposed method may be applied in some smart wearable devices with high real-time requirements, such as wristbands and watches. © 2020, 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/115580]
专题	电气工程与信息工程学院
作者单位	1.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou; 730050, China; 2.Changshu No.1 People's Hospital, Suzhou; 215500, China 3.School of Electrical and Automatic Engineering, Changshu Institute of Technology, Suzhou; 215500, China;
推荐引用方式 GB/T 7714	Chou, Yongxin,Zhang, Aihua,Gu, Ya,et al. Fast mathematical morphological filtering method and its application on pulse signal processing[J]. Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument,2020,41(2):253-262.
APA	Chou, Yongxin,Zhang, Aihua,Gu, Ya,Liu, Jicheng,&Feng, Yufeng.(2020).Fast mathematical morphological filtering method and its application on pulse signal processing.Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument,41(2),253-262.
MLA	Chou, Yongxin,et al."Fast mathematical morphological filtering method and its application on pulse signal processing".Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument 41.2(2020):253-262.