Parametric analysis of heart rate variability during hemodialysis

Silvio Cavalcanti , Lorenzo Chiari , Stefano Severi , Guido Avanzolini , Guido Enzmann , Claudio Lamberti
{"title":"Parametric analysis of heart rate variability during hemodialysis","authors":"Silvio Cavalcanti ,&nbsp;Lorenzo Chiari ,&nbsp;Stefano Severi ,&nbsp;Guido Avanzolini ,&nbsp;Guido Enzmann ,&nbsp;Claudio Lamberti","doi":"10.1016/0020-7101(96)01205-6","DOIUrl":null,"url":null,"abstract":"<div><p>The problem of evaluating short-term autonomic response to hypovolemia in patients under chronic hemodialysis treatment is considered. Power spectra of the beat-to-beat heart rate variability were evaluated during the dialysis treatment in twenty hemodynamically stable and unstable patients, using a parametric technique. The autoregressive model coefficients were calculated by the modified covariance method, while model order was selected according to the minimum description length criterion. Reported results demonstrate that stable and unstable patients present markedly different spectral patterns. The efficiency of the compensatory response to hemodialysis-induced hypovolemia was evaluated through the ratio between the powers in LF and HF bands. Stable patients exhibit a LF/HF ratio greater than one with large fluctuations over the whole dialysis session. In contrast, all the unstable patients are characterized by a value of LF/HF lower than one and with a reduced time variability. This result suggests that the hemodynamic instability of the hypotension-prone patients may be due to a deficiency in the short-term compensatory response to the hemodialysis-induced hypovolemia.</p></div>","PeriodicalId":75935,"journal":{"name":"International journal of bio-medical computing","volume":"42 3","pages":"Pages 215-224"},"PeriodicalIF":0.0000,"publicationDate":"1996-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0020-7101(96)01205-6","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of bio-medical computing","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0020710196012056","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15

Abstract

The problem of evaluating short-term autonomic response to hypovolemia in patients under chronic hemodialysis treatment is considered. Power spectra of the beat-to-beat heart rate variability were evaluated during the dialysis treatment in twenty hemodynamically stable and unstable patients, using a parametric technique. The autoregressive model coefficients were calculated by the modified covariance method, while model order was selected according to the minimum description length criterion. Reported results demonstrate that stable and unstable patients present markedly different spectral patterns. The efficiency of the compensatory response to hemodialysis-induced hypovolemia was evaluated through the ratio between the powers in LF and HF bands. Stable patients exhibit a LF/HF ratio greater than one with large fluctuations over the whole dialysis session. In contrast, all the unstable patients are characterized by a value of LF/HF lower than one and with a reduced time variability. This result suggests that the hemodynamic instability of the hypotension-prone patients may be due to a deficiency in the short-term compensatory response to the hemodialysis-induced hypovolemia.

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
血液透析期间心率变异性的参数分析
考虑了慢性血液透析治疗患者对低血容量的短期自主神经反应的评估问题。采用参数化技术对20例血流动力学稳定和不稳定患者透析治疗期间的次搏动心率变异性功率谱进行了评估。采用改进协方差法计算自回归模型系数,并根据最小描述长度准则选择模型阶数。报告结果表明,稳定和不稳定患者表现出明显不同的光谱模式。对血液透析引起的低血容量的代偿反应效率通过低频和高频波段功率的比值来评估。稳定患者的LF/HF比在整个透析过程中波动较大的患者大。相反,所有不稳定患者的特征是LF/HF值低于1,且时间变异性减小。这一结果提示低血压易感患者的血流动力学不稳定可能是由于血液透析引起的低血容量缺乏短期代偿反应。
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
自引率
0.00%
发文量
0
期刊最新文献
A Method for Diagnosing in Large Medical Expert Systems Based on Causal Probabilistic Networks Subject index Volume contents Editorial Author index
×
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