Impact of Using Different Levels of Threshold-Based Artefact Correction on the Quantification of Heart Rate Variability in Three Independent Human Cohorts
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AuthorAlcantara, Juan M.A.; Plaza Florido, Abel Adrián; Amaro Gahete, Francisco José; Acosta Manzano, Francisco Miguel; Migueles Hidalgo, Jairo; Molina García, Pablo; Sacha, Jerzy; Sánchez-Delgado, Guillermo; Martínez Téllez, Borja Manuel
Kubios softwareAutonomic nervous systemData processingChildrenYoung adultsMiddle-aged adults
Alcantara, J.M.A.; Plaza-Florido, A.; Amaro-Gahete, F.J.; Acosta, F.M.; Migueles, J.H.; Molina-Garcia, P.; Sacha, J.; Sanchez-Delgado, G.; Martinez-Tellez, B. Impact of Using Different Levels of Threshold-Based Artefact Correction on the Quantification of Heart Rate Variability in Three Independent Human Cohorts. J. Clin. Med. 2020, 9, 325. [doi:10.3390/jcm9020325]
SponsorshipThe study was funded by the Spanish Ministry of Economy and Competitiveness (DEP2013-47540 and DEP2016-79512-R), the Fondo de Investigación Sanitaria del Instituto de Salud Carlos III (PI13/01393), European Union Development Funds, the Fundación Iberoamericana de Nutrición (FINUT), the Redes Temáticas de Investigación Cooperativa RETIC (Red SAMID RD16/0022), the University of Granada Plan Propio de Investigación 2016 (Excellence actions: Unit of Excellence on Exercise and Health [UCEES]), and the Junta de Andalucía, Consejería de Conocimiento, Investigación y Universidades (FEDER: ref. SOMM17/6107/UGR).
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.