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. 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 software Autonomic nervous system Data processing Children Young adults Middle-aged adults The following are available online at https://www.mdpi.com/2077-0383/9/2/325/s1, Figure S1: Example of a visual inspection of a R-R signal to find possible artefacts or premature contractions across Kubios filters; Figures S2 and S3: Differences on the Heart Rate Variability (HRV) time- and frequency-domains parameters respectively without considering the Very Strong filter; Figure S4: Differences between cohorts on the SDNN using different Kubios filters; Figure S5: Differences between cohorts on the pNN50 using different Kubios filters; and Figure S6: Differences between cohorts on the HF using different Kubios filters. Juan M.A. Alcantara, Abel Plaza-Florido, Jairo H. Migueles, Guillermo Sanchez-Delgado and Francisco J. Amaro-Gahete are supported by the Spanish Ministry of Education, Culture and Sport (FPU15/04059, FPU16/02760, FPU15/02645, FPU13/04365 and FPU14/04172 respectively). Guillermo Sanchez-Delgado is supported by the University of Granada Plan Propio de Investigación 2018 (Programa Contratos-Puente and Programa Perfeccionamiento de Docotres). Francisco J. Amaro-Gahete is supported by the University of Granada Plan Propio de Investigación 2019 (Programa Contratos-Puente). Guillermo Sanchez-Delgado and Borja Martinez-Tellez are supported by individual postdoctoral grants from the Fundación Alfonso Martin Escudero. 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. 2020-03-27T11:28:21Z 2020-03-27T11:28:21Z 2020-01-23 info:eu-repo/semantics/article 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] http://hdl.handle.net/10481/60729 10.3390/jcm9020325 eng http://creativecommons.org/licenses/by/3.0/es/ info:eu-repo/semantics/openAccess Atribución 3.0 España MDPI