The impact of controlled breathing on autonomic nervous system modulation: analysis using phase-rectified signal averaging, entropy and heart rate variability.

IF 2.3 4区 医学 Q3 BIOPHYSICS Physiological measurement Pub Date : 2024-09-16 DOI:10.1088/1361-6579/ad7778
Agnieszka Uryga, Mikołaj Najda, Ignacy Berent, Cyprian Mataczyński, Piotr Urbański, Magdalena Kasprowicz, Teodor Buchner
{"title":"The impact of controlled breathing on autonomic nervous system modulation: analysis using phase-rectified signal averaging, entropy and heart rate variability.","authors":"Agnieszka Uryga, Mikołaj Najda, Ignacy Berent, Cyprian Mataczyński, Piotr Urbański, Magdalena Kasprowicz, Teodor Buchner","doi":"10.1088/1361-6579/ad7778","DOIUrl":null,"url":null,"abstract":"<p><p><i>Objective.</i>The present study investigated how breathing stimuli affect both non-linear and linear metrics of the autonomic nervous system (ANS).<i>Approach.</i>The analysed dataset consisted of 70 young, healthy volunteers, in whom arterial blood pressure (ABP) was measured noninvasively during 5 min sessions of controlled breathing at three different frequencies: 6, 10 and 15 breaths min<sup>-1</sup>. CO<sub>2</sub>concentration and respiratory rate were continuously monitored throughout the controlled breathing sessions. The ANS was characterized using non-linear methods, including phase-rectified signal averaging (PRSA) for estimating heart acceleration and deceleration capacity (AC, DC), multiscale entropy, approximate entropy, sample entropy, and fuzzy entropy, as well as time and frequency-domain measures (low frequency, LF; high-frequency, HF; total power, TP) of heart rate variability (HRV).<i>Main results.</i>Higher breathing rates resulted in a significant decrease in end-tidal CO<sub>2</sub>concentration (<i>p</i>< 0.001), accompanied by increases in both ABP (<i>p <</i>0.001) and heart rate (HR,<i>p <</i>0.001). A strong, linear decline in AC and DC (<i>p <</i>0.001 for both) was observed with increasing breathing rate. All entropy metrics increased with breathing frequency (<i>p <</i>0.001). In the time-domain, HRV metrics significantly decreased with breathing frequency (<i>p <</i>0.01 for all). In the frequency-domain, HRV LF and HRV HF decreased (<i>p</i>= 0.038 and<i>p</i>= 0.040, respectively), although these changes were modest. There was no significant change in HRV TP with breathing frequencies.<i>Significance.</i>Alterations in CO<sub>2</sub>levels, a potent chemoreceptor trigger, and changes in HR most likely modulate ANS metrics. Non-linear PRSA and entropy appear to be more sensitive to breathing stimuli compared to frequency-dependent HRV metrics. Further research involving a larger cohort of healthy subjects is needed to validate our observations.</p>","PeriodicalId":20047,"journal":{"name":"Physiological measurement","volume":" ","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physiological measurement","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1088/1361-6579/ad7778","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOPHYSICS","Score":null,"Total":0}
引用次数: 0

Abstract

Objective.The present study investigated how breathing stimuli affect both non-linear and linear metrics of the autonomic nervous system (ANS).Approach.The analysed dataset consisted of 70 young, healthy volunteers, in whom arterial blood pressure (ABP) was measured noninvasively during 5 min sessions of controlled breathing at three different frequencies: 6, 10 and 15 breaths min-1. CO2concentration and respiratory rate were continuously monitored throughout the controlled breathing sessions. The ANS was characterized using non-linear methods, including phase-rectified signal averaging (PRSA) for estimating heart acceleration and deceleration capacity (AC, DC), multiscale entropy, approximate entropy, sample entropy, and fuzzy entropy, as well as time and frequency-domain measures (low frequency, LF; high-frequency, HF; total power, TP) of heart rate variability (HRV).Main results.Higher breathing rates resulted in a significant decrease in end-tidal CO2concentration (p< 0.001), accompanied by increases in both ABP (p <0.001) and heart rate (HR,p <0.001). A strong, linear decline in AC and DC (p <0.001 for both) was observed with increasing breathing rate. All entropy metrics increased with breathing frequency (p <0.001). In the time-domain, HRV metrics significantly decreased with breathing frequency (p <0.01 for all). In the frequency-domain, HRV LF and HRV HF decreased (p= 0.038 andp= 0.040, respectively), although these changes were modest. There was no significant change in HRV TP with breathing frequencies.Significance.Alterations in CO2levels, a potent chemoreceptor trigger, and changes in HR most likely modulate ANS metrics. Non-linear PRSA and entropy appear to be more sensitive to breathing stimuli compared to frequency-dependent HRV metrics. Further research involving a larger cohort of healthy subjects is needed to validate our observations.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
控制呼吸对自律神经系统调制的影响:利用相位校正信号平均、熵和心率变异性进行分析。
目的 本研究调查了呼吸刺激如何影响自律神经系统(ANS)的非线性和线性指标:呼吸频率分别为 6、10 和 15 次/分钟。在整个控制呼吸过程中,二氧化碳浓度和呼吸频率均受到持续监测。采用非线性方法对 ANS 进行表征,包括相位校正信号平均法(PRSA),用于估计心脏加速和减速能力(AC、DC)、多尺度熵(MSEn)、近似熵(ApEn)、样本熵(SampEn)和模糊熵(FuzzyEn),以及心率变异性(HRV)的时域和频域(低频,LF;高频,HF;总功率,TP)。 主要结果 较高的呼吸频率导致潮气末二氧化碳浓度显著下降(p < 0.001),同时 ABP 增加(p < 0.001)。
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 去求助
来源期刊
Physiological measurement
Physiological measurement 生物-工程:生物医学
CiteScore
5.50
自引率
9.40%
发文量
124
审稿时长
3 months
期刊介绍: Physiological Measurement publishes papers about the quantitative assessment and visualization of physiological function in clinical research and practice, with an emphasis on the development of new methods of measurement and their validation. Papers are published on topics including: applied physiology in illness and health electrical bioimpedance, optical and acoustic measurement techniques advanced methods of time series and other data analysis biomedical and clinical engineering in-patient and ambulatory monitoring point-of-care technologies novel clinical measurements of cardiovascular, neurological, and musculoskeletal systems. measurements in molecular, cellular and organ physiology and electrophysiology physiological modeling and simulation novel biomedical sensors, instruments, devices and systems measurement standards and guidelines.
期刊最新文献
Telephone training to improve ECG quality in remote screening for atrial fibrillation. Amplitude spectrum area is dependent on the electrocardiogram magnitude: evaluation of different normalization approaches. Comparison of automatic and physiologically-based feature selection methods for classifying physiological stress using heart rate and pulse rate variability indices. Beat the heat: wearable-based study of perceived heat stress and physiological strain in Swiss track workers in a controlled climate chamber. A skewed-Gaussian model for pulse decomposition analysis of photoplethysmography signals.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1