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RESEARCH PRODUCT
Impact of using different levels of threshold-based artefact correction on the quantification of heart rate variability in three independent human cohorts
Guillermo Sanchez-delgadoGuillermo Sanchez-delgadoPablo Molina-garciaPablo Molina-garciaFrancisco M. AcostaJerzy SachaJerzy SachaJairo H. MiguelesFrancisco J. Amaro-gaheteJuan M. A. AlcantaraBorja Martinez-tellezAbel Plaza-floridosubject
young adultsmedicine.medical_specialtyMiddle-aged adultslcsh:Medicine030204 cardiovascular system & hematologyOverweightStandard deviationArticle03 medical and health sciences0302 clinical medicinechildrenInternal medicinemedicineAutonomic nervous systemHeart rate variabilityChildrenbusiness.industrymiddle-aged adultsHeart rate monitorlcsh:Rautonomic nervous system030229 sport sciencesGeneral MedicineData processingAutonomic nervous systemCardiologyAnalysis of varianceKubios softwaremedicine.symptombusinessdata processingYoung adultscirculatory and respiratory physiologydescription
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 ±
year | journal | country | edition | language |
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2020-02-01 |