Comparison of different methods of heart rate entropy analysis during acute anoxia superimposed on a chronic rat model of pulmonary hypertension

被引:6
作者
Goncalves, Hernani [1 ]
Henriques-Coelho, Tiago [2 ]
Rocha, Ana Paula [3 ,4 ]
Lourenco, Andre P. [2 ]
Leite-Moreira, Adelino [2 ]
Bernardes, Joao [1 ,5 ,6 ]
机构
[1] Univ Porto, Fac Med, Ctr Res Hlth Technol & Informat Syst CINTESIS, P-4200319 Oporto, Portugal
[2] Univ Porto, Fac Med, Dept Physiol & Cardiothorac Surg, P-4200319 Oporto, Portugal
[3] Univ Porto, Fac Ciencias, Dept Matemat, P-4169007 Oporto, Portugal
[4] Univ Porto, Ctr Matemat, P-4169007 Oporto, Portugal
[5] Univ Porto, Fac Med, Dept Obstet & Gynecol, P-4200319 Oporto, Portugal
[6] INEB Inst Engn Biomed, P-4200465 Oporto, Portugal
关键词
Heart rate variability (HRV); Time and frequency domain analysis; Entropy; Anoxia; TIME-SERIES ANALYSIS; RATE-VARIABILITY; APPROXIMATE ENTROPY; SPECTRAL-ANALYSIS; COMPLEXITY; FAILURE; SYSTEM; APEN;
D O I
10.1016/j.medengphy.2012.06.020
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Acute life-threatening situations are particularly critical when superimposed on chronic diseases. The objective of this study was the assessment of heart rate (HR) dynamics during episodes of acute anoxia superimposed on a rat model of chronic pulmonary hypertension. In 10 adult Wistar rats, five weeks after pulmonary hypertension induction with Monocrotaline, we analysed eight 1-min HR segments, during episodes of baseline, mechanical ventilation and acute anoxia, using linear indices, approximate entropy (ApEn), sample entropy (SampEn) and multiscale entropy (MSE). The transition from baseline or mechanical ventilation to early anoxia was identified through almost all indices, but SampEn(2,0.6) was the index that better identified all the transitions. MSE presented limited performance, possibly due to the non-stationary nature and short duration of the acute anoxia episodes. A systematic evaluation of all computed HR indices may help to identify which indices or combination of indices more adequately discriminates and monitors critical acute events superimposed on chronic clinical conditions. (C) 2012 IPEM. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:559 / 568
页数:10
相关论文
共 43 条
[1]   Heart rate variability: a review [J].
Acharya, U. Rajendra ;
Joseph, K. Paul ;
Kannathal, N. ;
Lim, Choo Min ;
Suri, Jasjit S. .
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2006, 44 (12) :1031-1051
[2]   Complexity of cardiovascular regulation in small animals [J].
Aubert, Andre E. ;
Vandeput, Steven ;
Beckers, Frank ;
Liu, Jiexin ;
Verheyden, Bart ;
Van Huffel, Sabine .
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2009, 367 (1892) :1239-1250
[3]  
Camm AJ, 1996, CIRCULATION, V93, P1043
[4]   AUTONOMIC NERVOUS-SYSTEM AND CARDIOVASCULAR VARIABILITY IN RATS - A SPECTRAL-ANALYSIS APPROACH [J].
CERUTTI, C ;
GUSTIN, MP ;
PAULTRE, CZ ;
LO, M ;
JULIEN, C ;
VINCENT, M ;
SASSARD, J .
AMERICAN JOURNAL OF PHYSIOLOGY, 1991, 261 (04) :H1292-H1299
[5]   Measuring complexity using FuzzyEn, ApEn, and SampEn [J].
Chen, Weiting ;
Zhuang, Jun ;
Yu, Wangxin ;
Wang, Zhizhong .
MEDICAL ENGINEERING & PHYSICS, 2009, 31 (01) :61-68
[6]   Chemical activation of pre-Botzinger complex in vivo reduces respiratory network complexity [J].
Chen, XN ;
Chon, KH ;
Solomon, IC .
AMERICAN JOURNAL OF PHYSIOLOGY-REGULATORY INTEGRATIVE AND COMPARATIVE PHYSIOLOGY, 2005, 288 (05) :R1237-R1247
[7]   Physiology - Unhealthy surprises [J].
Chialvo, DR .
NATURE, 2002, 419 (6904) :263-263
[8]   Approximate Entropy for all Signals Is the Recommended Threshold Value r Appropriate? [J].
Chon, Ki H. ;
Scully, Christopher G. ;
Lu, Sheng .
IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE, 2009, 28 (06) :18-23
[9]   Multiscale entropy analysis of biological signals [J].
Costa, M ;
Goldberger, AL ;
Peng, CK .
PHYSICAL REVIEW E, 2005, 71 (02)
[10]   Comment on "Multiscale entropy analysis of complex physiologic time series" - Reply [J].
Costa, M ;
Goldberger, AL ;
Peng, CK .
PHYSICAL REVIEW LETTERS, 2004, 92 (08)