Coherence and causal coherence applied to HRV analysis:a novel approach showing differences between inspiration and expiration

摘要：

　　Heart rate variability (HRV) analysis has been extensively used in the study of the autonomic control of the cardiovascular system.However,the interpretation of respiratory sinus arrhythmia (RSA) has not been unanimous among researches.This study proposes a new approach for HRV analysis using coherence,causal coherence,and autoregressive modeling with missing samples (gapped data) in order to assess differences between inspiration and expiration in coupling of air flow and heart-rate.Simulation was used to test this approach and the technique was applied to a data recorded from patients.Significant differences were found between inspiration and expiration,with higher values for the former.The methodology proposed showed promise in providing new insights into cardio-respiratory interactions.

关键词： heart rate variability respiratory sinus arrhythmia causal coherence missing samples

作者: D.S. Fonseca A.Beda D.M. Simpson A.M.F.L. Miranda de Sá

作者单位: Biomedical Engineering Program/COPPE, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil Institute of Technology, Federal University of Pará, Belém, Brazil Institute of Sound and Vibration Research, University of Southampton, Southampton, UK

会议类型: 国际会议

会议名称: World Congress on Medical Physics and Biomedical Engineering (2012年医学物理及生物医学工程国际会议(IFMBE))

会议地点: 北京

会议语种:英文

页码: 344-347

在线出版日期: 2012-05-26（万方平台首次上网日期，不代表论文的发表时间）