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

期刊论文
发表日期：

2024年7月6日

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Aldair Darlan Santos-de-Araújo,
Viviane Castello-Simões,
Daniela Bassi-Dibai,
Alessandro Domingues Heubel,
Renan Shida Marinho,
Patrícia Faria Camargo,
Nathany Souza Schafauser,
Izadora Moraes Dourado,
Renata Gonçalves Mendes,
Meliza Goi Roscani,
Ross Arena,
Audrey Borghi-Silva

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.