149889 20251017144635.0 doi 10.1088/2057-1976/ab2d11 sideral 133051 ART-2019-133051 eng Perez-Zabalza, M. Universidad de Zaragoza (orcid)0000-0002-3194-7796 Analysis of heart rate variability in children during high flow nasal cannula therapy 2019 Objective: Heart rate variability (HRV) is a non-invasive measure of the interaction between the autonomic nervous system (ANS) and the cardiovascular system and an indicator of physiologic stress. HRV is proposed as an alternative biomarker to the effect of high flow nasal cannula (HFNC) therapy, a non-invasive ventilation mode, in children with severe respiratory disease. Approach: Seven children with severe acute respiratory disease were included in this pilot study. All of them received HFNC treatment. Standard physiological variables, such as heart rate (HR), breathing rate (BR) and blood oxygen saturation (SpO2) were analyzed during HFNC therapy. HRV, which includes the time domain parameters defined by the mean of RR intervals (avRR), the standard deviation of RR intervals (stdRR), the root mean square of differences between adjacent RR intervals (rmsSD), and the frequency domain parameters defined by spectral powers of low frequency (LF, 0.04 Hz–0.15 Hz) and high frequency (HF, 0.15 Hz–0.4 Hz) bands was also analysed during therapy. Main results: Only the time domain parameter rmsSD showed a significant increase (from 0.03 to 0.08 s, p < 0.05) between the middle and the end of the therapy. No significant changes were observed in HR, BR and SpO2 throughout the therapy. Of these three variables, only HR and BR showed a high and statistically significant positive correlation. Significance: HRV analysis seems to be a promising alternative biomarker to monitor the effect of HFNC therapy on children with severe respiratory disease. info:eu-repo/semantics/closedAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 0.317 2019 Bioengineering 2019 Q3 Biophysics 2019 Q3 Health Informatics 2019 Q3 Biomedical Engineering 2019 Q3 Radiology, Nuclear Medicine and Imaging 2019 Q3 Computer Science Applications 2019 Q3 Physiology 2019 Q4 Biomaterials 2019 Q4 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Hagmeijer, R. Thio, B. J. Bors, J. Hoppenbrouwer, X. Garde, A. 5008 800 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Teoría Señal y Comunicac. 5, 4 (2019), 045028 [8 pp.] Biomedical Physics and Engineering Express 2057-1976 822540 http://zaguan.unizar.es/record/149889/files/texto_completo.pdf Versión publicada 660732 http://zaguan.unizar.es/record/149889/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:149889 articulos driver 2025-10-17-14:28:41 ARTICLE