RespirAnalyzer: an R package for analyzing data from continuous monitoring of respiratory signals

被引:0
|
作者
Zhang, Teng [1 ]
Dong, Xinzheng [2 ]
Wang, Dandan [1 ]
Huang, Chen [3 ]
Zhang, Xiaohua Douglas [4 ]
机构
[1] Univ Macau, Fac Hlth Sci, Dept Publ Hlth & Med Adm, Taipa 999078, Macau, Peoples R China
[2] Zhuhai Coll Sci & Technol, Zhuhai Lab Key Lab Symbol Computat & Knowledge Eng, Minist Educ, Zhuhai 519041, Peoples R China
[3] Macau Univ Sci & Technol, Dr Nehers Biophys Lab Innovat Drug Discovery, Taipa 999078, Macau, Peoples R China
[4] Univ Kentucky, Dept Biostat, 725 Rose St, Lexington, KY 40536 USA
来源
BIOINFORMATICS ADVANCES | 2024年 / 4卷 / 01期
基金
美国国家卫生研究院;
关键词
TIME-SERIES; COMPLEXITY; DYNAMICS; MULTIFRACTALITY;
D O I
10.1093/bioadv/vbae003
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Motivation The analysis of data obtained from continuous monitoring of respiratory signals (CMRS) holds significant importance in improving patient care, optimizing sports performance, and advancing scientific understanding in the field of respiratory health.Results The R package RespirAnalyzer provides an analytic tool specifically for feature extraction, fractal and complexity analysis for CMRS data. The package covers a wide and comprehensive range of data analysis methods including obtaining inter-breath intervals (IBI) series, plotting time series, obtaining summary statistics of IBI series, conducting power spectral density, multifractal detrended fluctuation analysis (MFDFA) and multiscale sample entropy analysis, fitting the MFDFA results with the extended binomial multifractal model, displaying results using various plots, etc. This package has been developed from our work in directly analyzing CMRS data and is anticipated to assist fellow researchers in computing the related features of their CMRS data, enabling them to delve into the clinical significance inherent in these features.Availability and implementation The package for Windows is available from both Comprehensive R Archive Network (CRAN): https://cran.r-project.org/web/packages/RespirAnalyzer/index.html and GitHub: https://github.com/dongxinzheng/RespirAnalyzer.
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页数:6
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