Cyclostationary Analysis for Heart Rate Variability

Q3 Computer Science

Open Bioinformatics Journal Pub Date : 2018-07-31 DOI:10.2174/1875036201811010164

M. Ambrosanio, F. Baselice

引用次数: 2

Abstract

Received: May 30, 2018 Revised: June 24, 2018 Accepted: June 26, 2018 Abstract: Background: During the last years, cyclostationarity has emerged as a new approach for the analysis of a certain type of non-stationary signals. This theoretical tool allows us to identify periodicity in signals which cannot be identified easily but also to separate useful signals for other interfering contributions that overlap in the spectral support.

查看原文本刊更多论文

心率变异性的循环平稳分析

摘要:背景:在过去的几年里，循环平稳性已经成为分析某种非平稳信号的一种新方法。这个理论工具使我们能够识别信号中的周期性，这些信号不容易识别，但也可以为频谱支持中重叠的其他干扰贡献分离有用的信号。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Open Bioinformatics Journal Computer Science-Computer Science (miscellaneous)

CiteScore

2.40

自引率

0.00%

发文量

期刊介绍： The Open Bioinformatics Journal is an Open Access online journal, which publishes research articles, reviews/mini-reviews, letters, clinical trial studies and guest edited single topic issues in all areas of bioinformatics and computational biology. The coverage includes biomedicine, focusing on large data acquisition, analysis and curation, computational and statistical methods for the modeling and analysis of biological data, and descriptions of new algorithms and databases. The Open Bioinformatics Journal, a peer reviewed journal, is an important and reliable source of current information on the developments in the field. The emphasis will be on publishing quality articles rapidly and freely available worldwide.