AJP - Heart Information on EB 2010
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
QUICK SEARCH:   [advanced]


     

Am J Physiol Heart Circ Physiol 278: H2039-H2049, 2000;
0363-6135/00 $5.00
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Web of Science (69)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Richman, J. S.
Right arrow Articles by Moorman, J. R.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Richman, J. S.
Right arrow Articles by Moorman, J. R.
Vol. 278, Issue 6, H2039-H2049, June 2000

Physiological time-series analysis using approximate entropy and sample entropy

Joshua S. Richman1,2 and J. Randall Moorman1

1 Cardiovascular Division, Department of Internal Medicine, and Department of Molecular Physiology and Biological Physics, and Cardiovascular Research Center, University of Virginia Health Sciences Center, Charlottesville, Virginia 22908; and 2 Medical Automation Systems, Charlottesville, Virginia 22903

Entropy, as it relates to dynamical systems, is the rate of information production. Methods for estimation of the entropy of a system represented by a time series are not, however, well suited to analysis of the short and noisy data sets encountered in cardiovascular and other biological studies. Pincus introduced approximate entropy (ApEn), a set of measures of system complexity closely related to entropy, which is easily applied to clinical cardiovascular and other time series. ApEn statistics, however, lead to inconsistent results. We have developed a new and related complexity measure, sample entropy (SampEn), and have compared ApEn and SampEn by using them to analyze sets of random numbers with known probabilistic character. We have also evaluated cross-ApEn and cross-SampEn, which use cardiovascular data sets to measure the similarity of two distinct time series. SampEn agreed with theory much more closely than ApEn over a broad range of conditions. The improved accuracy of SampEn statistics should make them useful in the study of experimental clinical cardiovascular and other biological time series.

probability; nonlinear dynamics


This article has been cited by other articles:


Home page
 Am. J. Physiol. Heart Circ. Physiol.Home page
X. Bai, J. Li, L. Zhou, and X. Li
Influence of the menstrual cycle on nonlinear properties of heart rate variability in young women
Am J Physiol Heart Circ Physiol, August 1, 2009; 297(2): H765 - H774.
[Abstract] [Full Text] [PDF]

Home page
 Am. J. Physiol. Heart Circ. Physiol.Home page
M. Baumert, G. W. Lambert, T. Dawood, E. A. Lambert, M. D. Esler, M. McGrane, D. Barton, P. Sanders, and E. Nalivaiko
Short-term heart rate variability and cardiac norepinephrine spillover in patients with depression and panic disorder
Am J Physiol Heart Circ Physiol, August 1, 2009; 297(2): H674 - H679.
[Abstract] [Full Text] [PDF]

Home page
 J. Physiol.Home page
C. O. Tan, M. A. Cohen, D. L. Eckberg, and J. A. Taylor
Fractal properties of human heart period variability: physiological and methodological implications
J. Physiol., August 1, 2009; 587(15): 3929 - 3941.
[Abstract] [Full Text] [PDF]

Home page
 Phil Trans R Soc AHome page
H. V Huikuri, J. S Perkiomaki, R. Maestri, and G. D. Pinna
Clinical impact of evaluation of cardiovascular control by novel methods of heart rate dynamics
Phil Trans R Soc A, April 13, 2009; 367(1892): 1223 - 1238.
[Abstract] [Full Text] [PDF]

Home page
 Phil Trans R Soc AHome page
A. E Aubert, S. Vandeput, F. Beckers, J. Liu, B. Verheyden, and S. Van Huffel
Complexity of cardiovascular regulation in small animals
Phil Trans R Soc A, April 13, 2009; 367(1892): 1239 - 1250.
[Abstract] [Full Text] [PDF]

Home page
 Am. J. Physiol. Regul. Integr. Comp. Physiol.Home page
K. S. Heffernan, S. Y. Jae, V. J. Vieira, G. A. Iwamoto, K. R. Wilund, J. A. Woods, and B. Fernhall
C-reactive protein and cardiac vagal activity following resistance exercise training in young African-American and white men
Am J Physiol Regulatory Integrative Comp Physiol, April 1, 2009; 296(4): R1098 - R1105.
[Abstract] [Full Text] [PDF]

Home page
 J. Appl. Physiol.Home page
M. Engoren, S. E. Courtney, and R. H. Habib
Effect of weight and age on respiratory complexity in premature neonates
J Appl Physiol, March 1, 2009; 106(3): 766 - 773.
[Abstract] [Full Text] [PDF]

Home page
 Neurorehabil Neural RepairHome page
M. Roerdink, A. C. H. Geurts, M. de Haart, and P. J. Beek
On the Relative Contribution of the Paretic Leg to the Control of Posture After Stroke
Neurorehabil Neural Repair, March 1, 2009; 23(3): 267 - 274.
[Abstract] [PDF]

Home page
 Am. J. Physiol. Gastrointest. Liver Physiol.Home page
A. R. Mani, S. Montagnese, C. D. Jackson, C. W. Jenkins, I. M. Head, R. C. Stephens, K. P. Moore, and M. Y. Morgan
Decreased heart rate variability in patients with cirrhosis relates to the presence and degree of hepatic encephalopathy
Am J Physiol Gastrointest Liver Physiol, February 1, 2009; 296(2): G330 - G338.
[Abstract] [Full Text] [PDF]

Home page
 Phil Trans R Soc AHome page
A. Voss, S. Schulz, R. Schroeder, M. Baumert, and P. Caminal
Methods derived from nonlinear dynamics for analysing heart rate variability
Phil Trans R Soc A, January 28, 2009; 367(1887): 277 - 296.
[Abstract] [Full Text] [PDF]

Home page
 Phil Trans R Soc AHome page
R. Hornero, D. Abasolo, J. Escudero, and C. Gomez
Nonlinear analysis of electroencephalogram and magnetoencephalogram recordings in patients with Alzheimer's disease
Phil Trans R Soc A, January 28, 2009; 367(1887): 317 - 336.
[Abstract] [Full Text] [PDF]

Home page
 Anesth. Analg.Home page
T. Laitio, J. Jalonen, T. Kuusela, and H. Scheinin
The Role of Heart Rate Variability in Risk Stratification for Adverse Postoperative Cardiac Events
Anesth. Analg., December 1, 2007; 105(6): 1548 - 1560.
[Abstract] [Full Text] [PDF]

Home page
 Am. J. Physiol. Heart Circ. Physiol.Home page
K. S. Heffernan, C. A. Fahs, K. K. Shinsako, S. Y. Jae, and B. Fernhall
Heart rate recovery and heart rate complexity following resistance exercise training and detraining in young men
Am J Physiol Heart Circ Physiol, November 1, 2007; 293(5): H3180 - H3186.
[Abstract] [Full Text] [PDF]

Home page
 J. Appl. Physiol.Home page
A. Porta, T. Gnecchi-Ruscone, E. Tobaldini, S. Guzzetti, R. Furlan, and N. Montano
Progressive decrease of heart period variability entropy-based complexity during graded head-up tilt
J Appl Physiol, October 1, 2007; 103(4): 1143 - 1149.
[Abstract] [Full Text] [PDF]

Home page
 Exp PhysiolHome page
T. Zhang, Z. Yang, and J. H. Coote
Cross-sample entropy statistic as a measure of complexity and regularity of renal sympathetic nerve activity in the rat
Exp Physiol, July 1, 2007; 92(4): 659 - 669.
[Abstract] [Full Text] [PDF]

Home page
 EuropaceHome page
V. Tuzcu, S. Nas, T. Borklu, and A. Ugur
Decrease in the heart rate complexity prior to the onset of atrial fibrillation
Europace, June 1, 2006; 8(6): 398 - 402.
[Abstract] [Full Text] [PDF]

Home page
 PediatricsHome page
M. P. Griffin, D. E. Lake, and J. R. Moorman
Physiomarkers of Neonatal Heart Rate: In Reply
Pediatrics, May 1, 2006; 117(5): 1854 - 1854.
[Full Text] [PDF]

Home page
 PediatricsHome page
H. P. Baden, J. J. Zimmerman, R. J. Brilli, H. Wong, R. C. Wetzel, J. P. Burns, V. Nadkarni, P. A. Checchia, H. J. Dalton, J. Berger, et al.
Intensivist-Led Team Approach to Critical Care of Children With Heart Disease
Pediatrics, May 1, 2006; 117(5): 1854 - 1856.
[Full Text] [PDF]

Home page
 PediatricsHome page
M. P. Griffin, D. E. Lake, E. A. Bissonette, F. E. Harrell Jr, T. M. O'Shea, and J. R. Moorman
Heart Rate Characteristics: Novel Physiomarkers to Predict Neonatal Infection and Death
Pediatrics, November 1, 2005; 116(5): 1070 - 1074.
[Abstract] [Full Text] [PDF]

Home page
 Am. J. Physiol. Regul. Integr. Comp. Physiol.Home page
X. Chen, K. H. Chon, and I. C. Solomon
Chemical activation of pre-Botzinger complex in vivo reduces respiratory network complexity
Am J Physiol Regulatory Integrative Comp Physiol, May 1, 2005; 288(5): R1237 - R1247.
[Abstract] [Full Text] [PDF]

Home page
 Am. J. Physiol. Endocrinol. Metab.Home page
S. M. Katzman, M. A. Messerli, D. T. Barry, A. Grossman, T. Harel, J. D. Wikstrom, B. E. Corkey, P. J. S. Smith, and O. S. Shirihai
Mitochondrial metabolism reveals a functional architecture in intact islets of Langerhans from normal and diabetic Psammomys obesus
Am J Physiol Endocrinol Metab, December 1, 2004; 287(6): E1090 - E1099.
[Abstract] [Full Text] [PDF]

Home page
 J. Appl. Physiol.Home page
D. E. Vaillancourt, J. J. Sosnoff, and K. M. Newell
Age-related changes in complexity depend on task dynamics
J Appl Physiol, July 1, 2004; 97(1): 454 - 455.
[Full Text] [PDF]

Home page
 J. Appl. Physiol.Home page
D. E. Vaillancourt and K. M. Newell
Aging and the time and frequency structure of force output variability
J Appl Physiol, March 1, 2003; 94(3): 903 - 912.
[Abstract] [Full Text] [PDF]

Home page
 Am. J. Physiol. Regul. Integr. Comp. Physiol.Home page
D. E. Lake, J. S. Richman, M. P. Griffin, and J. R. Moorman
Sample entropy analysis of neonatal heart rate variability
Am J Physiol Regulatory Integrative Comp Physiol, September 1, 2002; 283(3): R789 - R797.
[Abstract] [Full Text] [PDF]

Home page
 Am. J. Physiol. Regul. Integr. Comp. Physiol.Home page
L. S. Farhy, M. Straume, M. L. Johnson, B. Kovatchev, and J. D. Veldhuis
Unequal autonegative feedback by GH models the sexual dimorphism in GH secretory dynamics
Am J Physiol Regulatory Integrative Comp Physiol, March 1, 2002; 282(3): R753 - R764.
[Abstract] [Full Text] [PDF]

Home page
 Am. J. Physiol. Heart Circ. Physiol.Home page
T. A. Kuusela, T. T. Jartti, K. U. O. Tahvanainen, and T. J. Kaila
Nonlinear methods of biosignal analysis in assessing terbutaline-induced heart rate and blood pressure changes
Am J Physiol Heart Circ Physiol, February 1, 2002; 282(2): H773 - H781.
[Abstract] [Full Text] [PDF]


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Visit Other APS Journals Online