期刊
JOURNAL OF CLINICAL MEDICINE
卷 9, 期 2, 页码 -出版社
MDPI
DOI: 10.3390/jcm9020325
关键词
Kubios software; autonomic nervous system; data processing; children; young adults; middle-aged adults
资金
- Spanish Ministry of Education, Culture and Sport [FPU15/04059, FPU16/02760, FPU15/02645, FPU13/04365, FPU14/04172]
- University of Granada Plan Propio de Investigacion 2018 (Programa Contratos-Puente and Programa Perfeccionamiento de Docotres)
- Fundacion Alfonso Martin Escudero
- Spanish Ministry of Economy and Competitiveness [DEP2013-47540, DEP2016-79512-R]
- Fondo de Investigacion Sanitaria del Instituto de Salud Carlos III [PI13/01393]
- European Union Development Funds
- Fundacion Iberoamericana de Nutricion (FINUT)
- Redes Tematicas de Investigacion Cooperativa RETIC [Red SAMID RD16/0022]
- University of Granada Plan Propio de Investigacion 2016 (Excellence actions: Unit of Excellence on Exercise and Health [UCEES])
- Junta de Andalucia, Consejeria de Conocimiento, Investigacion y Universidades (FEDER) [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.
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