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Mathematisch-Naturwissenschaftliche Fakultät I
Institut für Physik
Kardiovaskuläre Physik
Mathematisch-Naturwissenschaftliche Fakultät I
Institut für Physik
Kardiovaskuläre Physik
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Humboldt-Universität zu Berlin - Mathematisch-Naturwissenschaftliche Fakultät I - Kardiovaskuläre Physik
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Glos
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Gutschow
Hahnel
Hammes
Hasart
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Hnatkova
Hsiao
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Kang
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Kurths
Lange
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Luther
Malberg
Malik
Marti
Marwan
Mayer
McCarron
Meyerfeldt
Morano
Moreira
Moreira Ventura
Moreno
Müller
NESTMANN
NEUGEBAUER
Nagy
Nestmann
Neubauer
Neugebauer
Nunez
Osterziel
Pena
Penzel
Plehm
Prasse
Ramírez Ávila
Riedl
Romano
Rostig
SCHWARZ
Saliba
Sander
Saparin
Sawitzki
Schirdewan
Schirmbeck
Schultheiss
Schumann
Schurath
Schuster
Schutt
Schwarz
Selbig
Shiau
Siems
Silvia-Barra
Sommer
Spindler
Stepan
Stromer
Suhrbier
Thiel
Thierfelder
Tschope
Tseng
Uhl
Unversucht
V Moreira
Vallverdu
Ventura
Voss
WEIDERMANN
Wallukat
Walther
Wang
Weidermann
Wernicke
Wessel
Wildhirt
Witt
Zacharias
Zacharzowsky
Zamora-Lopez
Zamora-López
Zaunseder
Zhou
Ziehmann
van Leeuwen
Arenas
Bauernschmitt
Baumert
Bittmann
Busjahn
Carvajal
Chen
Faber
Fischer
Gapelyuk
Gómez-Gardeñes
Hassan
Heringer-Walther
Konvicka
Kurths
Lerma
Malberg
Marwan
Meyerfeldt
Moreira
Parlitz
Penzel
Phd
Porta
Raab
Ramírez Ávila
Retzlaff
Riedl
Rubido
Schinkel
Schirdewan
Schmidt
Schumann
Stepan
Suhrbier
Van Leeuwen
Voss
WESSEL
Walter
Walther
Wang
Wernicke
Wessel
Zamora-López
Einträge exportieren
2011
Biosignal 2010: Advanced technologies in intensive care and sleep medicine
Wessel, N, Kurths, J, Malberg, H, and Penzel, T
Physiological Measurement, 32(11).
DOI:10.1088/0967-3334/32/11/E01
Cardiovascular Variability Analysis for Risk Stratification in Cardiac Surgery
Malberg, H, Wessel, N, Bauernschmitt, R, Zaunseder, S, Kurths, J, and Bretthauer, G
at-Automatisierungstechnik, 59(11):669-682.
DOI:10.1524/auto.2011.0957
Cardiovascular regulation in different sleep stages in the obstructive sleep apnea syndrome.
Gapelyuk, A, Riedl, M, Suhrbier, A, Krämer, J, Bretthauer, G, Malberg, H, Kurths, J, Penzel, T, and Wessel, N
Biomed Tech (Berl), 56(4):207-13.
DOI:10.1515/BMT.2011.018
PubMed:21823997
Classifying cardiac biosignals using ordinal pattern statistics and symbolic dynamics
Parlitz, U, Berg, S, Luther, S, Schirdewan, A, Kurths, J, and Wessel, N
Comput Biol Med.
DOI:10.1016/j.compbiomed.2011.03.017
PubMed:21511252
Does the Aminopeptidase A (APA) Have Prognostic and Diagnostic Value in Chagas' Disease and Other Dilated Cardiomyopathies?
Wang, Y, Moreira, M, Heringer-Walther, S, Khan, A, Schultheiss, H, Wessel, N, Siems, W, and Walther, T
J Cardiovasc Pharmacol.
PubMed:21697726
Firefly courtship as the basis of the synchronization-response principle
Ramírez Ávila, G, Deneubourg, J, Guisset, J, Wessel, N, and Kurths, J
EPL, 94:60007.
DOI:10.1209/0295-5075/94/60007
Functional network analysis reveals differences in the semantic priming task
Schinkel, S, Zamora-Lopez, G, Dimigen, O, Sommer, W, and Kurths, J
Journal of Neuroscience Methods, 197(2):333-339.
DOI:10.1016/j.jneumeth.2011.02.018
PubMed:21376754
Preserved autonomic regulation in patients undergoing transcatheter aortic valve implantation (TAVI) - a prospective, comparative study.
Retzlaff, B, Wessel, N, Riedl, M, Gapelyuk, A, Malberg, H, Bauernschmitt, N, Kurths, J, Bretthauer, G, and Bauernschmitt, R
Biomed Tech (Berl), 56(4):185-93.
DOI:10.1515/BMT.2011.017
PubMed:21823996
Scaling Laws in the Transient Dynamics of Firefly-like Oscillators
Rubido, N, Cabeza, C, Ramírez Ávila, G, and Marti, A
Journal of Physics: Conference Series, 285(1):2026.
DOI:10.1088/1742-6596/285/1/012026
Synchronization regions of two pulse-coupled electronic piecewise linear oscillators
Rubido, N, Cabeza, C, Kahan, S, Ramírez Ávila, G, and Marti, A
The European Physical Journal D, 62:51-56.
DOI:10.1140/epjd/e2010-00215-4
2010
Amino-terminal fragment of C-type natriuretic peptide precursor and C-type natriuretic peptide do not correlate in patients with Chagas disease: role for neutral endopeptidase
Wang, Y, Moreira, Md, Heringer-Walther, S, Schultheiss, HP, Siems, WE, Wessel, N, and Walther, T
J. Cardiovasc. Pharmacol., 55:62–66.
DOI:10.1097/FJC.0b013e3181c37dc2
PubMed:20090473
Cardiac magnetic field mapping quantified by Kullback-Leibler entropy detects patients with coronary artery disease
Gapelyuk, A, Schirdewan, A, Fischer, R, and Wessel, N
Physiological Measurement, 31(10):1345-1354.
DOI:10.1088/0967-3334/31/10/004
PubMed:20720289
Cardiovascular regulation during sleep quantified by symbolic coupling traces
Suhrbier, A, Riedl, M, Malberg, H, Penzel, T, Bretthauer, G, Kurths, J, and Wessel, N
Chaos, 20(4):045124.
DOI:10.1063/1.3518688
PubMed:21198136
Concurrent sympathetic activation and vagal withdrawal in hyperthyroidism: Evidence from detrended fluctuation analysis of heart rate variability
Chen, JL, Shiau, YH, Tseng, YJ, Chiu, HW, Hsiao, TC, Wessel, N, Kurths, J, and Chu, WC
Physica A: Statistical Mechanics and its Applications, 389(9):1861–1868.
DOI:10.1016/j.physa.2009.12.062
Cortical hubs form a module for multisensory integration on top of the hierarchy of cortical networks
Zamora-López, G, Zhou, C, and Kurths, J
Front. Neuroinform., 4(1).
DOI:10.3389/neuro.11.001.2010
PubMed:20428515
From modular to centralized organization of synchronization in functional areas of the cat cerebral cortex
Gómez-Gardeñes, J, Zamora-López, G, Moreno, Y, and Arenas, A
PLoS One, 5(8):e12313.
DOI:10.1371/journal.pone.0012313
PubMed:20865046
How similar is the performance of the cubic and the piecewise-linear circuits of Chua?
Ramírez Ávila, G and Gallas, J
Physics Letters A, 375(2):143-148.
DOI:10.1016/j.physleta.2010.10.046
Investigation of an automatic sleep stage classification by means of multiscorer hypnogram.
Figueroa Helland V, Gapelyuk, A, Suhrbier, A, Riedl, M, Penzel, T, and Kurths, J
Methods of Information in Medicine, 49(5):467-472.
DOI:10.3414/ME09-02-0052
PubMed:20644896
Optimal map of the modular structure of complex networks
Arenas, A, Borge-Holthöfer, J, Gomez, S, and Zamora-López, G
New Journal of Physics, 12(5):3009.
DOI:10.1088/1367-2630/12/5/053009
Plasma ACE2 activity is an independent prognostic marker in Chagas' disease and equally potent as BNP
Wang, Y, Moreira, Md, Heringer-Walther, S, Ebermann, L, Schultheiss, HP, Wessel, N, Siems, WE, and Walther, T
J. Card. Fail., 16:157–163.
DOI:10.1016/j.cardfail.2009.09.005
PubMed:20142028
Short-term couplings of the cardiovascular system in pregnant women suffering from pre-eclampsia
Riedl, M, Suhrbier, A, Stepan, H, Kurths, J, and Wessel, N
Philos Transact A Math Phys Eng Sci, 368:2237–2250.
DOI:10.1098/rsta.2010.0029
PubMed:20368244
Simulation of large-scale cortical networks by use of individual neuron dynamics
Schmidt, G, Zamora-López, G, and Kurths, J
Int. J. Bifurcation and Chaos, 20:859-867.
DOI:10.1142/S0218127410026149
When does noise destroy or enhance synchronous behavior in two mutually coupled light-controlled oscillators?
Ramírez Ávila, G, Kurths, J, Guisset, J, and Deneubourg, J
Physical Review E, 82(5).
DOI:10.1103/PhysRevE.82.056207
PubMed:21230563
2009
Addressing the complexity of cardiovascular regulation
Porta, A, Di Rienzo, M, Wessel, N, and Kurths, J
Philos Transact A Math Phys Eng Sci, 367:1215–1218.
DOI:10.1098/rsta.2008.0292
PubMed:19324704
Brain signal analysis based on recurrences
Schinkel, S, Marwan, N, and Kurths, J
Journal of Physiology - Paris, 103(6):315-323.
DOI:10.1016/j.jphysparis.2009.05.007
PubMed:19500670
Cardio-vascular Dynamics Following Open Heart Surgery: Early Impairment and Potential for Recovery
Bauernschmitt, R, Wessel, N, Malberg, H, Brockmann, G, Kurths, J, Bretthauer, G, and Lange, R
In: Complex Dynamics in Physiological Systems: From Heart to Brain, Understanding Complex Systems, pp. 155-166, Springer.
Confidence bounds of recurrence-based complexity measures
Schinkel, S, Marwan, N, Dimigen, O, and Kurths, J
Physics Letters A, 373(26):2245-2250.
DOI:10.1016/j.physleta.2009.04.045
Depression of cardiovascular autonomic function is more pronounced after mitral valve surgery: evidence for direct trauma
Retzlaff, B, Bauernschmitt, R, Malberg, H, Brockmann, G, Uhl, C, Lange, R, Kurths, J, Bretthauer, G, and Wessel, N
Philos Transact A Math Phys Eng Sci, 367:1251–1263.
DOI:10.1098/rsta.2008.0272
PubMed:19324707
Detection of time-delayed interactions in biosignals using symbolic coupling traces
Wessel, N, Suhrbier, A, Riedl, M, Marwan, N, Malberg, H, Bretthauer, G, Penzel, T, and Kurths, J
EPL (Europhysics Letters), 87(1):10004.
DOI:10.1209/0295-5075/87/10004
Information/Download
Influence of paced maternal breathing on fetal-maternal heart rate coordination
Van Leeuwen, P, Geue, D, Thiel, M, Cysarz, D, Lange, S, Romano, MC, Wessel, N, Kurths, J, and Gronemeyer, DH
Proc. Natl. Acad. Sci. U.S.A., 106:13661–13666.
DOI:10.1073/pnas.0901049106
PubMed:19597150
Is the normal heart rate "chaotic" due to respiration?
Wessel, N, Riedl, M, and Kurths, J
Chaos, 19:028508.
DOI:10.1063/1.3133128
PubMed:19566283
NT-proCNP And CNP Do Not Correlate In Patients With Chagas' Disease: Role For Neutral Endopeptidase
Phd, YW, V Moreira, MD, Heringer-Walther, S, Schultheiss, HP, Siems, WE, Wessel, N, and Walther, T
J. Cardiovasc. Pharmacol..
DOI:10.1097/FJC.0b013e3181c37dc2
PubMed:19858737
Prognostic value of natriuretic peptides in Chagas' disease: a head-to-head comparison of the 3 natriuretic peptides
Moreira, Md, Wang, Y, Heringer-Walther, S, Wessel, N, and Walther, T
Congest Heart Fail, 15:75–81.
DOI:10.1111/j.1751-7133.2009.00051.x
PubMed:19379453
Testing foetal-maternal heart rate synchronization via model-based analyses
Riedl, M, van Leeuwen, P, Suhrbier, A, Malberg, H, Gronemeyer, D, Kurths, J, and Wessel, N
Philos Transact A Math Phys Eng Sci, 367:1407–1421.
DOI:10.1098/rsta.2008.0277
PubMed:19324716
2008
Circulatory soluble endoglin and its predictive value for preeclampsia in second-trimester pregnancies with abnormal uterine perfusion
Stepan, H, Geipel, A, Schwarz, F, Kramer, T, Wessel, N, and Faber, R
Am. J. Obstet. Gynecol., 198:1–6.
DOI:10.1016/j.ajog.2007.08.052
PubMed:18226617
Modeling the cardiovascular system using a nonlinear additive autoregressive model with exogenous input
Riedl, M, Suhrbier, A, Malberg, H, Penzel, T, Bretthauer, G, Kurths, J, and Wessel, N
Phys Rev E Stat Nonlin Soft Matter Phys, 78:011919.
PubMed:18763994
Prognostic value of natriuretic peptides in Chagas' disease: a 3-year follow-up investigation
Moreira, Md, Heringer-Walther, S, Wessel, N, Moreira Ventura, T, Wang, Y, Schultheiss, HP, and Walther, T
Cardiology, 110:217–225.
DOI:10.1159/000112403
PubMed:18073475
Selection of recurrence threshold for signal detection
Schinkel, S, Dimigen, O, and Marwan, N
European Physical Journal – Special Topics, 164(1):45-53.
DOI:10.1140/epjst/e2008-00833-5
Ventricular arrhythmias and changes in heart rate preceding ventricular tachycardia in patients with an implantable cardioverter defibrillator
Lerma, C, Wessel, N, Schirdewan, A, Kurths, J, and Glass, L
Med Biol Eng Comput, 46:715–727.
DOI:10.1007/s11517-008-0326-y
PubMed:18343965
2007
Analysis of cardiovascular oscillations: a new approach to the early prediction of pre-eclampsia
Malberg, H, Bauernschmitt, R, Voss, A, Walther, T, Faber, R, Stepan, H, and Wessel, N
Chaos, 17:015113.
DOI:10.1063/1.2711660
PubMed:17411270
Applications of nonlinear dynamics: Recent trends and perspectives
Wessel, N, Schwarz, W, and Kurths, J
Int J Bif Chaos, 17:3303–3304.
Asymmetry of the acceleration and deceleration capacity of heart rate is strongly dependent on ventricular premature complexes
Wessel, N, Dash, S, Kurths, J, Bauernschmitt, R, and Malberg, H
Biomed Tech (Berl), 52:264–266.
DOI:10.1515/BMT.2007.045
PubMed:17561788
Autonomic cardiac control in animal models of cardiovascular diseases II. Variability analysis in transgenic rats with alpha-tropomyosin mutations Asp175Asn and Glu180Gly
Wernicke, D, Wessel, N, Malberg, H, Plehm, R, Bauernschmitt, R, and Thierfelder, L
Biomed Tech (Berl), 52:50–55.
DOI:10.1515/BMT.2007.010
PubMed:17313334
Autonomic cardiac control in animal models of cardiovascular diseases. I. Methods of variability analysis
Wessel, N, Bauernschmitt, R, Wernicke, D, Kurths, J, and Malberg, H
Biomed Tech (Berl), 52:43–49.
DOI:10.1515/BMT.2007.009
PubMed:17313333
Autonomic control in patients experiencing atrial fibrillation after cardiac surgery
Bauernschmitt, R, Malberg, H, Wessel, N, Brockmann, G, Wildhirt, SM, Kopp, B, Kurths, J, Bretthauer, G, and Lange, R
Pacing Clin Electrophysiol, 30:77–84.
DOI:10.1111/j.1540-8159.2007.00568.x
PubMed:17241319
Cardiac magnetic field map topology quantified by Kullback-Leibler entropy identifies patients with hypertrophic cardiomyopathy
Schirdewan, A, Gapelyuk, A, Fischer, R, Koch, L, Schutt, H, Zacharzowsky, U, Dietz, R, Thierfelder, L, and Wessel, N
Chaos, 17:015118.
DOI:10.1063/1.2432059
PubMed:17411275
Cardiovascular and respiratory dynamics during normal and pathological sleep
Penzel, T, Wessel, N, Riedl, M, Kantelhardt, JW, Rostig, S, Glos, M, Suhrbier, A, Malberg, H, and Fietze, I
Chaos, 17:015116.
DOI:10.1063/1.2711282
PubMed:17411273
Detection of patients with coronary artery disease using cardiac magnetic field mapping at rest
Gapelyuk, A, Wessel, N, Fischer, R, Zacharzowsky, U, Koch, L, Selbig, D, Schutt, H, Sawitzki, B, Luft, FC, Dietz, R, and Schirdewan, A
J Electrocardiol, 40:401–407.
DOI:10.1016/j.jelectrocard.2007.03.013
PubMed:17531250
Introduction: Cardiovascular physics
Wessel, N, Kurths, J, Ditto, W, and Bauernschmitt, R
Chaos, 17:015101.
DOI:10.1063/1.2718395
PubMed:17411258
NONLINEAR METHODS OF CARDIOVASCULAR PHYSICS AND THEIR CLINICAL APPLICABILITY
Wessel, N, Malberg, H, Bauernschmitt, R, and Kurths, J
International Journal of Bifurcation and Chaos (IJBC), 17(10):3325–3371.
DOI:10.1142/S0218127407019093
Order Patterns Recurrence Plots in the Analysis of ERP Data
Schinkel, S, Marwan, N, and Kurths, J
Cognitive Neurodynamics, 1(4):317-325.
DOI:10.1007/s11571-007-9023-z
Predictive value of maternal angiogenic factors in second trimester pregnancies with abnormal uterine perfusion
Stepan, H, Unversucht, A, Wessel, N, and Faber, R
Hypertension, 49:818–824.
DOI:10.1161/01.HYP.0000258404.21552.a3
PubMed:17261644
Scaling characteristics of heart rate time series before the onset of ventricular tachycardia
Baumert, M, Wessel, N, Schirdewan, A, Voss, A, and Abbott, D
Ann Biomed Eng, 35:201–207.
DOI:10.1007/s10439-006-9220-7
PubMed:17171301
The angiotensin-(1-7) receptor agonist AVE0991 dominates the circadian rhythm and baroreflex in spontaneously hypertensive rats
Wessel, N, Malberg, H, Heringer-Walther, S, Schultheiss, HP, and Walther, T
J. Cardiovasc. Pharmacol., 49:67–73.
DOI:10.1097/FJC.0b013e31802cffe9
PubMed:17312445
Time course of changes in cardiac magnetic field mapping after myocardial infarction in rats
Fischer, R, Gapelyuk, A, Wessel, N, Gruner, K, Gruner, A, Müller, D, Dietz, R, and Schirdewan, A
In: New Frontiers in Biomagnetism. Proceedings of the 15th International Conference on Biomagnetism, ed. by D. Cheyne, B. Ross, G. Stroink, H. Weinberg, pp. 484–487, Elsevier B.V.
2006
A combined technique for predicting pre-eclampsia: concurrent measurement of uterine perfusion and analysis of heart rate and blood pressure variability
Walther, T, Wessel, N, Malberg, H, Voss, A, Stepan, H, and Faber, R
J. Hypertens., 24:747–750.
DOI:10.1097/01.hjh.0000217858.27864.50
PubMed:16531804
Comparison of three methods for beat-to-beat-interval extraction from continuous blood pressure and electrocardiogram with respect to heart rate variability analysis
Suhrbier, A, Heringer, R, Walther, T, Malberg, H, and Wessel, N
Biomed Tech (Berl), 51:70–76.
DOI:10.1515/BMT.2006.013
PubMed:16915768
Does the C-type natriuretic peptide have prognostic value in chagas disease and other dilated cardiomyopathies?
Heringer-Walther, S, Moreira, Md, Wessel, N, Wang, Y, Ventura, TM, Schultheiss, HP, and Walther, T
J. Cardiovasc. Pharmacol., 48:293–298.
DOI:10.1097/01.fjc.0000249892.22635.46
PubMed:17204908
Editorial: Sampling frequency-A wrongly neglected parameter
Malberg, H and Wessel, N
Somnologie, 10(2):33–35.
DOI:10.1007/j.1439-054X.2006.00086.x
Large-scale dimension densities for heart rate variability analysis
Raab, C, Wessel, N, Schirdewan, A, and Kurths, J
Phys Rev E Stat Nonlin Soft Matter Phys, 73:041907.
PubMed:16711836
Nonlinear additive autoregressive model-based analysis of short-term heart rate variability
Wessel, N, Malberg, H, Bauernschmitt, R, Schirdewan, A, and Kurths, J
Med Biol Eng Comput, 44:321–330.
DOI:10.1007/s11517-006-0038-0
PubMed:16937173
Normalized correlation dimension for heart rate variability analysis
Raab, C, Kurths, J, Schirdewan, A, and Wessel, N
Biomed Tech (Berl), 51:229–232.
DOI:10.1515/BMT.2006.043
PubMed:17061945
Relation between circulating angiotensin II type 1 receptor agonistic autoantibodies and soluble fms-like tyrosine kinase 1 in the pathogenesis of preeclampsia
Stepan, H, Faber, R, Wessel, N, Wallukat, G, Schultheiss, HP, and Walther, T
J. Clin. Endocrinol. Metab., 91:2424–2427.
DOI:10.1210/jc.2005-2698
PubMed:16569734
Toward a prediction of sudden death in propofol-related infusion syndrome
Wessel, N and Schirdewan, A
Heart Rhythm, 3:138–139.
DOI:10.1016/j.hrthm.2005.12.002
PubMed:16443525
Towards robotic heart surgery: introduction of autonomous procedures into an experimental surgical telemanipulator system
Bauernschmitt, R, Schirmbeck, EU, Knoll, A, Mayer, H, Nagy, I, Wessel, N, Wildhirt, SM, and Lange, R
The International Journal of Medical Robotics and Computer Assisted Surgery, 1(3):74–79.
DOI:10.1002/rcs.30
2005
Brain natriuretic peptide predicts survival in Chagas' disease more effectively than atrial natriuretic peptide
Heringer-Walther, S, Moreira, MC, Wessel, N, Saliba, JL, Silvia-Barra, J, Pena, JL, Becker, S, Siems, WE, Schultheiss, HP, and Walther, T
Heart, 91:385–387.
DOI:10.1136/hrt.2003.026856
PubMed:15710733
Correlation dimension analysis of heart rate variability in patients with dilated cardiomyopathy
Carvajal, R, Wessel, N, Vallverdu, M, Caminal, P, and Voss, A
Comput Methods Programs Biomed, 78:133–140.
DOI:10.1016/j.cmpb.2005.01.004
PubMed:15848268
Longitudinal analysis of heart rate variability in chronic hypertensive pregnancy
Walther, T, Wessel, N, Baumert, M, Stepan, H, Voss, A, and Faber, R
Hypertens. Res., 28:113–118.
DOI:10.1291/hypres.28.113
PubMed:16025737
On the functional relationship between postural motor balance and performance at school
Bittmann, F, Gutschow, S, Luther, S, Wessel, N, and Kurths, J
Dtsch Z Sportmed, 56:348–352.
Towards robotic heart surgery: introduction of autonomous procedures into an experimental surgical telemanipulator system
Bauernschmitt, R, Schirmbeck, EU, Knoll, A, Mayer, H, Nagy, I, Wessel, N, Wildhirt, SM, and Lange, R
Int J Med Robot, 1:74–79.
DOI:10.1002/rcs.30
PubMed:17518393
2004
Baroreflex sensitivity, heart rate, and blood pressure variability in hypertensive pregnancy disorders
Faber, R, Baumert, M, Stepan, H, Wessel, N, Voss, A, and Walther, T
J Hum Hypertens, 18:707–712.
DOI:10.1038/sj.jhh.1001730
PubMed:15116143
Forecasting of life threatening arrhythmias using the compression entropy of heart rate
Baumert, M, Baier, V, Haueisen, J, Wessel, N, Meyerfeldt, U, Schirdewan, A, and Voss, A
Methods Inf Med, 43:202–206.
DOI:10.1267/METH04020202
PubMed:15136870
Heart rate turbulence: higher predictive value than other risk stratifiers?
Wessel, N, Malberg, H, and Walther, T
Circulation, 109:e150–151.
DOI:10.1161/01.CIR.0000118175.80885.28
PubMed:15007020
Impairment of cardiovascular autonomic control in patients early after cardiac surgery
Bauernschmitt, R, Malberg, H, Wessel, N, Kopp, B, Schirmbeck, EU, and Lange, R
Eur J Cardiothorac Surg, 25:320–326.
DOI:10.1016/j.ejcts.2003.12.019
PubMed:15019655
MODELING THERMAL DISPLACEMENTS IN MODULAR TOOL SYSTEMS
WESSEL, N, AßMUS, J, SCHWARZ, U, KURTHS, J, WEIDERMANN, F, KONVICKA, J, NESTMANN, S, and NEUGEBAUER, R
International Journal of Bifurcation and Chaos (IJBC), 14(6):2125–2132.
DOI:10.1142/S0218127404010485
Predicting thermal displacements in modular tool systems
Wessel, N, Konvicka, J, Weidermann, F, Nestmann, S, Neugebauer, R, Schwarz, U, Wessel, A, and Kurths, J
Chaos, 14:23–29.
DOI:10.1063/1.1622351
PubMed:15003041
Short-term heart rate turbulence analysis versus variability and baroreceptor sensitivity in patients with dilated cardiomyopathy
Malberg, H, Bauernschmitt, R, Meyerfeldt, U, Schirdewan, A, and Wessel, N
Indian Pacing Electrophysiol J, 4:162–175.
PubMed:16943930
Simulation, Experimental Investigation and Control of Thermal Behavior in Modular Tool Systems
Konvicka, J, Wessel, N, Weidermann, F, Nestmann, S, Neugebauer, R, Schwarz, U, Wessel, A, and Kurths, J
In: Nonlinear Dynamics of Production Systems, ed. by G. Radons, R. Neugebauer, pp. 265–285, Wiley-VCH, Weinheim.
alpha-Tropomyosin mutations Asp(175)Asn and Glu(180)Gly affect cardiac function in transgenic rats in different ways
Wernicke, D, Thiel, C, Duja-Isac, CM, Essin, KV, Spindler, M, Nunez, DJ, Plehm, R, Wessel, N, Hammes, A, Edwards, RJ, Lippoldt, A, Zacharias, U, Stromer, H, Neubauer, S, Davies, MJ, Morano, I, and Thierfelder, L
Am. J. Physiol. Regul. Integr. Comp. Physiol., 287:R685–695.
DOI:10.1152/ajpregu.00620.2003
PubMed:15031138
2003
Analytical model for a cooperative ballistic deposition in one dimension
Hassan, MK, Wessel, N, and Kurths, J
Phys Rev E Stat Nonlin Soft Matter Phys, 67:061109.
PubMed:16241201
Brain natriuretic peptide as a predictor of cardiomyopathy in Chagas' disease
Walther, T, Heringer-Walther, S, Wessel, N, Schultheiss, HP, and Moreira, Md
Lancet, 361:1567.
PubMed:12737906
Heart rate turbulance: an independant risk factor?
Wessel, N and Malberg, H
J. Cardiovasc. Electrophysiol., 14:1388.
PubMed:14678123
Intermittently decreased beat-to-beat variability in congestive heart failure
Wessel, N, Schirdewan, A, and Kurths, J
Phys. Rev. Lett., 91:119801; discussion 119802.
PubMed:14525464
Short-term heart rate turbulence analysis versus variability and baroreceptor sensitivity in patients with dilated cardiomyopathy
Malberg, H, Bauernschmitt, R, Meyerfeldt, U, Schirdewan, A, and Wessel, N
Z Kardiol, 92:547–557.
DOI:10.1007/s00392-003-0946-z
PubMed:12883839
2002
Advanced analysis of spontaneous baroreflex sensitivity, blood pressure and heart rate variability in patients with dilated cardiomyopathy
Malberg, H, Wessel, N, Hasart, A, Osterziel, KJ, and Voss, A
Clin. Sci., 102:465–473.
PubMed:11914109
Analysis of cardiovascular regulation after heart operation
Malberg, H, Wessel, N, Kopp, B, and Bauernschmitt, R
Biomed Tech (Berl), 47 Suppl 1 Pt 2:541–542.
PubMed:12465230
Heart rate variability before the onset of ventricular tachycardia: differences between slow and fast arrhythmias
Meyerfeldt, U, Wessel, N, Schutt, H, Selbig, D, Schumann, A, Voss, A, Kurths, J, Ziehmann, C, Dietz, R, and Schirdewan, A
Int. J. Cardiol., 84:141–151.
PubMed:12127366
Model based analysis of the heart rate and blood pressure relationship
Wessel, N, Malberg, H, Meyerfeldt, U, Schirdewan, A, and Kurths, J
Biomed Tech (Berl), 47 Suppl 1 Pt 2:543–546.
PubMed:12465231
Potential of feature selection methods in heart rate variability analysis for the classification of different cardiovascular diseases
Schumann, A, Wessel, N, Schirdewan, A, Osterziel, KJ, and Voss, A
Stat Med, 21:2225–2242.
DOI:10.1002/sim.979
PubMed:12210635
Recurrence-plot-based measures of complexity and their application to heart-rate-variability data
Marwan, N, Wessel, N, Meyerfeldt, U, Schirdewan, A, and Kurths, J
Phys Rev E Stat Nonlin Soft Matter Phys, 66:026702.
PubMed:12241313
Statistical versus individual forecasting of life-threatening cardiac arrhythmias
Wessel, N, Meyerfeldt, U, Ziehmann, C, Schirdewan, A, and Kurths, J
In: Experimental Chaos: 6th Experimental Chaos Conference, ed. by S. Boccaletti, B.J. Gluckman, J. Kurths, L.M. Pecora, M.L. Spano, pp. 110–115, American Institute of Physics, Melville, New York.
Symbolic dynamics for medical data analysis
Wessel, N, Schwarz, U, Saparin, P, and Kurths, J
In: Attractors, Signals, and Synergetics, ed. by W. Klonowski, pp. 45–61, Pabst Science Publishers.
2000
Altered heart rate and blood pressure variability in mice lacking the Mas protooncogene
Walther, T, Wessel, N, Kang, N, Sander, A, Tschope, C, Malberg, H, Bader, M, and Voss, A
Braz. J. Med. Biol. Res., 33:1–9.
PubMed:10625868
Baroreflex sensitivity, heart rate, and blood pressure variability in normal pregnancy
Voss, A, Malberg, H, Schumann, A, Wessel, N, Walther, T, Stepan, H, and Faber, R
Am. J. Hypertens., 13:1218–1225.
PubMed:11078183
Entropy Measures in Heart Rate Variability Data
Wessel, N, Schumann, A, Schirdewan, A, Voss, A, and Kurths, J
In: Medical Data Analysis, vol. 1933/2000, pp. 175–196, Springer Berlin / Heidelberg. Lecture Notes in Computer Science.
Evaluation of renormalised entropy for risk stratification using heart rate variability data
Wessel, N, Voss, A, Kurths, J, Schirdewan, A, Hnatkova, K, and Malik, M
Med Biol Eng Comput, 38:680–685.
PubMed:11217887
Nonlinear analysis of complex phenomena in cardiological data
Wessel, N, Voss, A, Malberg, H, Ziehmann, C, Voss, HU, Schirdewan, A, Meyerfeldt, U, and Kurths, J
Zeitschrift Herzschrittmachertherapie und Elektrophysiologie, 11(3):159–173.
DOI:10.1007/s003990070035
Short-term forecasting of life-threatening cardiac arrhythmias based on symbolic dynamics and finite-time growth rates
Wessel, N, Ziehmann, C, Kurths, J, Meyerfeldt, U, Schirdewan, A, and Voss, A
Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics, 61:733–739.
PubMed:11046317
Symbolic dynamics
Voss, A, Wessel, N, Kurths, J, Witt, A, Schirdewan, A, Osterziel, K, Malik, M, and Dietz, R
In: Advances in Noninvasive Electrocardiographic Monitoring Techniques, ed. by H.H. Osterhues, V. Hombach, A.J. Moss, pp. 429–437, Kluwer Academic Publisher, Dordrecht.
1999
Dual sequence method for analysis of spontaneous baroreceptor reflex sensitivity in patients with dilated cardiomyopathy
Malberg, H, Wessel, N, Schirdewan, A, Osterziel, KJ, and Voss, A
Z Kardiol, 88:331–337.
PubMed:10413855
Gender-specific alterations of heart rate and blood pressure variability in Mas-deficient mice
Walter, T, Wessel, N, Kang, N, Sander, A, Malberg, H, Bader, M, and Voss, A
Journal of Clinical Basic Cardiology, 2:281–282.
Vorhersage von lebensbedrohlichen Tachyarrhythmien mittels Finite-Time Wachstumsraten
Wessel, N, Voss, A, Ziehmann, C, Kurths, J, Meyerfeldt, U, and Schirdewan, A
In: Statusseminar - Technische Anwendungen von Erkenntnissen der Nichtlinearen Dynamik, pp. 361–365, VDI-Verlag, Düsseldorf.
1998
Analysis of brief blood pressure and heart rate variability
Voss, A, Wessel, N, Hasart, A, Hahnel, H, Prasse, G, Schirdewan, A, and Osterziel, KJ
Biomed Tech (Berl), 43 Suppl:106–107.
PubMed:9859280
Angiotensin-converting enzyme and angiotensinogen gene polymorphisms and heart rate variability in twins
Busjahn, A, Voss, A, Knoblauch, H, Knoblauch, M, Jeschke, E, Wessel, N, Bohlender, J, McCarron, J, Faulhaber, HD, Schuster, H, Dietz, R, and Luft, FC
Am. J. Cardiol., 81:755–760.
PubMed:9527087
Dual sequence method for analysis of spontaneous baroreceptor sensitivity
Malberg, H, Wessel, N, Hasart, A, Osterziel, KJ, and Voss, A
Biomed Tech (Berl), 43 Suppl:532–533.
PubMed:9859477
Multiparametric analysis of heart rate variability used for risk stratification among survivors of acute myocardial infarction
Voss, A, Hnatkova, K, Wessel, N, Kurths, J, Sander, A, Schirdewan, A, Camm, AJ, and Malik, M
Pacing Clin Electrophysiol, 21:186–192.
PubMed:9474670
Symbolic dynamics–an independent method for detecting nonlinear phenomena of heart rate regulation
Wessel, N, Schirdewan, A, Malik, M, and Voss, A
Biomed Tech (Berl), 43 Suppl:510–511.
PubMed:9859466
1997
Multiparametrische Risikostratifizierung bei Patienten nach Myokardinfarkt
Voss, A, Hnatkova, K, Wessel, N, Kurths, J, Sander, A, Schirdewan, A, Camm, A, and Malik, M
In: Workshop Zeitreihenanalyse, pp. 75–78, VDI-Verlag, Düsseldorf.
Nonlinear dynamics in cardiovascular diseases
Voss, A, Wessel, N, Kleiner, HJ, Kurths, J, and Dietz, R
Nonlinear Anal., 30(2):935–941.
1996
Familial and genetic influences on heart rate variability
Voss, A, Busjahn, A, Wessel, N, Schurath, R, Faulhaber, HD, Luft, FC, and Dietz, R
J Electrocardiol, 29 Suppl:154–160.
PubMed:9238392
Multiparametric heart rate variability analysis for high risk stratification after myocardial infarction
Voss, A, Kurths, J, Wessel, N, Witt, A, Kleiner, HJ, and Dietz, R
Clin. Sci., 91 Suppl:118–119.
PubMed:8813850
Requirements on sampling rate in Holter systems for analysis of heart rate variability
Voss, A, Wessel, N, Sander, A, Malberg, H, and Dietz, R
Clin. Sci., 91 Suppl:120–121.
PubMed:8813851
The application of methods of non-linear dynamics for the improved and predictive recognition of patients threatened by sudden cardiac death
Voss, A, Kurths, J, Kleiner, HJ, Witt, A, Wessel, N, Saparin, P, Osterziel, KJ, Schurath, R, and Dietz, R
Cardiovasc. Res., 31:419–433.
PubMed:8681329
The behavior of measures of non-linear dynamics in 24 hours heart rate variability analysis
Wessel, N, Voss, A, Kurths, J, Witt, A, and Osterziel, KJ
Clin. Sci., 91 Suppl:122–123.
PubMed:8813852
1995
Analysis of heart rate variability versus high resolution ECG
Voss, A, Kurths, J, Kleiner, H, Witt, A, Dietz, R, Fiehring, H, Saparin, P, and Wessel, N
In: PTB-Bericht Diagnostic Methods to Investigate Cardiac Arrhythmias, pp. 43–54, Wirtschaftsverlag NW Bremerhafen.
Improved analysis of heart rate variability by methods of nonlinear dynamics
Voss, A, Kurths, J, Kleiner, HJ, Witt, A, and Wessel, N
J Electrocardiol, 28 Suppl:81–88.
PubMed:8656135
Quantitative analysis of heart rate variability
Kurths, J, Voss, A, Saparin, P, Witt, A, Kleiner, HJ, and Wessel, N
Chaos, 5:88–94.
DOI:10.1063/1.166090
PubMed:12780160
1994
New methods for the detection of high risk patients in cardiology
Voss, A, Kurths, J, Kleiner, HJ, Witt, A, Saparin, P, Dietz, R, Fiehring, H, and Wessel, N
Biomed Tech (Berl), 39:134–143.
PubMed:7918973