Improving methodology in heart rate variability analysis for the premature infants: Impact of the time length

• DOI: 10.1371/journal.pone.0220692
• Publication Date: 2019-08-09T17:27:15Z
• Authors: Trang Nguyen Phuc...; Alfredo I. Hernández; Nathalie Costet; Hugues Patural; Vincent Pichot; Guy Carrault; Alain Beuchée
• Keywords: Male; Time Factors; [SDV.MHEP.PHY] Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO]; Science; 610; Electrocardiography; 03 medical and health sciences; [SDV.MHEP.PED] Life Sciences [q-bio]/Human health and pathology/Pediatrics; 0302 clinical medicine; [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system; Heart Rate; Heart Rate Determination; [SDV.MHEP.PHY]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO]; Cluster Analysis; Humans; Diagnosis, Computer-Assisted; Longitudinal Studies; [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing; [SDV.MHEP.PED]Life Sciences [q-bio]/Human health and pathology/Pediatrics; Principal Component Analysis; [SDV.MHEP] Life Sciences [q-bio]/Human health and pathology; Q; R; Infant, Newborn; Infant; 600; Signal Processing, Computer-Assisted; [SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system; 3. Good health; Nonlinear Dynamics; Linear Models; Medicine; Female; [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing; [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology; Infant, Premature; Research Article

Heart rate variability (HRV) has been emerging in neonatal medicine. It may help for the early diagnosis of pathology and estimation autonomous maturation. There is a lack standardization automation selection sequences to analyze some features have not explored this specific population. The main objective study was impact time length on linear non-linear HRV features, including horizontal visibility graphs (HVG).HRV were repeatedly measured with methods 2-, 5-, 10-minute selected from longest 15-min sequence recorded weekly basis 39 infants less than 31 weeks at birth. associations between measurements analyzed through principal component analysis k-means clustering. effects lengths post-menstrual age (PMA) by mixed effect model repeated measures.The domains concordant their descriptive parameters short (rMSSD, SD1 HF) long-term (SD, SD2 LF) variability. α1 correlated LF/HF SD2/SD1. DC AC short-term estimates significantly increased GA PMA. Shortening windows random measurement error all bias but term HVGs.The are each other. HVGs. Short-term can be an index evaluating maturation whatever length.