Impact of different corrective filters on heart rate variability in chronic obstructive pulmonary disease: conclusions and recommendations for future research

被引：0

作者：

Santos-de-Araújo A.D. ^{[1
]}

Castello-Simões V. ^{[1
]}

Bassi-Dibai D. ^{[2
,3
]}

Heubel A.D. ^{[1
]}

Marinho R.S. ^{[1
]}

Camargo P.F. ^{[1
]}

Schafauser N.S. ^{[1
]}

Dourado I.M. ^{[1
]}

Mendes R.G. ^{[1
]}

Roscani M.G. ^{[4
]}

Arena R. ^{[5
]}

Borghi-Silva A. ^{[1
]}

机构：

[1] Cardiopulmonary Physiotherapy Laboratory, Department of Physiotherapy, Federal University of Sao Carlos (UFSCar), Rodovia Washington Luiz, Km 235, SP, Sao Carlos

[2] Department of Physiotherapy, Postgraduate in Health Programs and Services, CEUMA University, MA, Sao Luis

[3] Department of Physiotherapy, Faculdade Santa Terezinha, MA, Sao Luis

[4] Department of Medicine, Federal University of Sao Carlos (UFSCar), SP, Sao Carlos

[5] Department of Physical Therapy, College of Applied Health Sciences, University of Illinois Chicago, Chicago, IL

来源：

Research on Biomedical Engineering | 2024年 / 40卷 / 3-4期

基金：

巴西圣保罗研究基金会;

关键词：

Chronic obstructive pulmonary disease; Heart rate variability; Kubios filters;

D O I：

10.1007/s42600-024-00368-1

中图分类号：

学科分类号：

摘要：

Purpose: The existence of noise, trends, ectopic beats, and artifacts can directly affect HRV quality, warranting signal correction. Objective: Our objective was to analyze the impact of different filters in the Kubios software on short-term HRV analysis in a COPD. Methodology: A cross-sectional study involving 81 COPD patients was allocated into four groups according to clinical status and severity: (1) non-exacerbated COPD GOLD I-II, (2) non-exacerbated COPD GOLD III-IV, (3) exacerbated COPD GOLD I-II, and (4) exacerbated COPD GOLD I-II. The R-R interval signal was registered in the supine position over 10 min using a Polar S810i telemetry system; Kubios software was used for short-term HRV analysis using the six filters available. Results: There were significant differences (p < 0.05) in HRV-derived parameters in the time domain across the Kubios filters, especially in the strong and very strong filters. In the frequency domain and non-linear analysis, only the very strong filter was significant when compared to the other filters in some variables (p < 0.05). Conclusion: The application of different Kubios filters had a significant impact on the quantification of HRV-derived parameters obtained from short-term recordings in linear and non-linear analyses. © The Author(s), under exclusive licence to The Brazilian Society of Biomedical Engineering 2024.

引用

页码：579 / 592

页数：13

共 53 条

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