Unknown

Dataset Information

0

Impact of Using Different Levels of Threshold-Based Artefact Correction on the Quantification of Heart Rate Variability in Three Independent Human Cohorts.


ABSTRACT: Heart rate variability (HRV) is a non-invasive indicator of autonomic nervous system function. HRV recordings show artefacts due to technical and/or biological issues. The Kubios software is one of the most used software to process HRV recordings, offering different levels of threshold-based artefact correction (i.e., Kubios filters). The aim of the study was to analyze the impact of different Kubios filters on the quantification of HRV derived parameters from short-term recordings in three independent human cohorts. A total of 312 participants were included: 107 children with overweight/obesity (10.0 ± 1.1 years, 58% men), 132 young adults (22.2 ± 2.2 years, 33% men) and 73 middle-aged adults (53.6 ± 5.2 years, 48% men). HRV was assessed using a heart rate monitor during 10-15 min, and the Kubios software was used for HRV data processing using all the Kubios filters available (i.e., 6). Repeated-measures analysis of variance indicated significant differences in HRV derived parameters in the time-domain (all p < 0.001) across the Kubios filters in all cohorts, moreover similar results were observed in the frequency-domain. When comparing two extreme Kubios filters, these statistical differences could be clinically relevant, e.g. more than 10 ms in the standard deviation of all normal R-R intervals (SDNN). In conclusion, the results of the present study suggest that the application of different Kubios filters had a significant impact on HRV derived parameters obtained from short-term recordings in both time and frequency-domains.

SUBMITTER: Alcantara JMA 

PROVIDER: S-EPMC7074236 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

altmetric image

Publications

Impact of Using Different Levels of Threshold-Based Artefact Correction on the Quantification of Heart Rate Variability in Three Independent Human Cohorts.

Alcantara Juan M A JMA   Plaza-Florido Abel A   Amaro-Gahete Francisco J FJ   Acosta Francisco M FM   Migueles Jairo H JH   Molina-Garcia Pablo P   Sacha Jerzy J   Sanchez-Delgado Guillermo G   Martinez-Tellez Borja B  

Journal of clinical medicine 20200123 2


Heart rate variability (HRV) is a non-invasive indicator of autonomic nervous system function. HRV recordings show artefacts due to technical and/or biological issues. The Kubios software is one of the most used software to process HRV recordings, offering different levels of threshold-based artefact correction (i.e., Kubios filters). The aim of the study was to analyze the impact of different Kubios filters on the quantification of HRV derived parameters from short-term recordings in three inde  ...[more]

Similar Datasets

| S-EPMC7347623 | biostudies-literature
| 2364606 | ecrin-mdr-crc
| S-EPMC8496840 | biostudies-literature
| S-EPMC5671896 | biostudies-literature
| S-EPMC9913831 | biostudies-literature
| S-EPMC3967844 | biostudies-literature
| S-EPMC5778955 | biostudies-literature
| S-EPMC11013825 | biostudies-literature
| S-EPMC6972735 | biostudies-literature