利用脆性指数定性分析脉搏图

T. N. Nikitchuk, O. L. Korenivska, D. Shtofel, J. Tussupov, V. Benedytskyi, T. Vakaliuk, I. Kobylianska
{"title":"利用脆性指数定性分析脉搏图","authors":"T. N. Nikitchuk, O. L. Korenivska, D. Shtofel, J. Tussupov, V. Benedytskyi, T. Vakaliuk, I. Kobylianska","doi":"10.1117/12.2617387","DOIUrl":null,"url":null,"abstract":"The article explores the possibility of applying modifications to the R/S- analysis method for pulsogram processing under conditions where the noise level is unknown. It is shown that a fast algorithm for calculating the Hirst coefficient can be used to estimate the noise level in a pulse signal. The R/S-analysis method for pulsogram processing has been improved by optimizing the initial conditions, which makes it possible to select the required pulse wave registration interval.","PeriodicalId":250235,"journal":{"name":"International Conference on Correlation Optics","volume":"356 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Qualitative analysis of pulsograms by fractility indices\",\"authors\":\"T. N. Nikitchuk, O. L. Korenivska, D. Shtofel, J. Tussupov, V. Benedytskyi, T. Vakaliuk, I. Kobylianska\",\"doi\":\"10.1117/12.2617387\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article explores the possibility of applying modifications to the R/S- analysis method for pulsogram processing under conditions where the noise level is unknown. It is shown that a fast algorithm for calculating the Hirst coefficient can be used to estimate the noise level in a pulse signal. The R/S-analysis method for pulsogram processing has been improved by optimizing the initial conditions, which makes it possible to select the required pulse wave registration interval.\",\"PeriodicalId\":250235,\"journal\":{\"name\":\"International Conference on Correlation Optics\",\"volume\":\"356 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Correlation Optics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.2617387\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Correlation Optics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2617387","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文探讨了在噪声水平未知的情况下,对脉冲图处理的R/S分析方法进行修改的可能性。结果表明,一种计算赫斯特系数的快速算法可用于估计脉冲信号中的噪声电平。通过优化初始条件,改进了用于脉冲图处理的R/ s分析方法,使其能够选择所需的脉冲波配准间隔。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Qualitative analysis of pulsograms by fractility indices
The article explores the possibility of applying modifications to the R/S- analysis method for pulsogram processing under conditions where the noise level is unknown. It is shown that a fast algorithm for calculating the Hirst coefficient can be used to estimate the noise level in a pulse signal. The R/S-analysis method for pulsogram processing has been improved by optimizing the initial conditions, which makes it possible to select the required pulse wave registration interval.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信