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Heart rate variability: Standards of measurement, physiological interpretation, and clinical use
Abstract
Marek Malik, J. Thomas Bigger, A. John Camm, Robert E. Kleiger, Alberto Malliani, Arthur J. Moss, Peter J. Schwartz; Heart rate variability: Standards of m
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“The accuracy of HRV measurements is primarily determined by the sampling rate of the data acquisition system, which should be set at a minimum of 200 Hz according to the Task Force (Malik, 1996).”
From Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research – Recommendations for Experiment Planning, Data Analysis, and Data Reporting (2017) · cites this paper as Malik, 1996
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Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Low-frequency (LF) absolute power (0.04 - 0.15 Hz, ms²) | When breathing frequency is lower than 9cpm: Cardiac vagal activity”
From Effects of voluntary slow breathing on heart rate and heart rate variability: A systematic review and a meta-analysis (2022) · cites this paper as Malik, 1996
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Secondly, they do not reflect the activity of the autonomic nervous system.”
From Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research – Recommendations for Experiment Planning, Data Analysis, and Data Reporting (2017) · cites this paper as Malik, 1996
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The guidelines of the Task Force (Malik, 1996) are extremely clear on this matter: for an unambiguous interpretation of the physiological mechanisms underlying HRV, the measurement needs to be realized without physical activity.”
From Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research – Recommendations for Experiment Planning, Data Analysis, and Data Reporting (2017) · cites this paper as Malik, 1996
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Regarding respiratory frequency, one component that may be heavily influenced by it is vagal tone because HF is deemed to reflect vagal tone only when breathing frequency is higher than nine cycles per minute (Malik, 1996; Berntson et al., 1997).”
From Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research – Recommendations for Experiment Planning, Data Analysis, and Data Reporting (2017) · cites this paper as Malik, 1996
Experimental — accuracy not yet measured
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The very-low frequency (VLF) range is located between 0.0033 and 0.04 Hz. This band represents long-term regulation mechanisms, thermoregulation and hormonal mechanisms (Malik, 1996; Berntson et al., 1997).”
From Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research – Recommendations for Experiment Planning, Data Analysis, and Data Reporting (2017) · cites this paper as Malik, 1996
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The low-frequency (LF) band ranges between 0.04 and 0.15 Hz. The LF band reflects a mix between sympathetic and vagal influences that shows an influence of both sympathetic and parasympathetic branches (Malik, 1996; Berntson et al., 1997).”
From Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research – Recommendations for Experiment Planning, Data Analysis, and Data Reporting (2017) · cites this paper as Malik, 1996
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Single analysis of 24 h suffer from several problems (Malik, 1996). Firstly they violate stationarity; if mechanisms responsible for heart period modulation of a certain frequency remain unchanged during the whole recording period, then – and only then – the corresponding frequency component of HRV may be used as a measure of these modulations, otherwise the interpretation can’t be ascertained.”
From Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research – Recommendations for Experiment Planning, Data Analysis, and Data Reporting (2017) · cites this paper as Malik, 1996
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“High-frequency (HF) absolute power (0.15 to 0.40 Hz, ms²) | Cardiac vagal activity (when breathing frequency is comprised between 9 and 24 cycles per minute)”
From Effects of voluntary slow breathing on heart rate and heart rate variability: A systematic review and a meta-analysis (2022) · cites this paper as Malik, 1996
The cited source says what the claim attributes to it.
In the citing paper
“Root mean square of the successive differences (RMSSD, ms) | Cardiac vagal activity”
From Effects of voluntary slow breathing on heart rate and heart rate variability: A systematic review and a meta-analysis (2022) · cites this paper as Malik, 1996
The cited source says what the claim attributes to it.
In the citing paper
“HF is influenced by breathing when breathing rates are between nine cycles per minute (0.15 Hz) and up to 24 cycles per minute (0.40 Hz) (Malik, 1996).”
From Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research – Recommendations for Experiment Planning, Data Analysis, and Data Reporting (2017) · cites this paper as Malik, 1996
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“However, the argumentation to do so needs to be strong and 1 min should be seen as the absolute minimum to obtain a reliable assessment of HF (Malik, 1996).”
From Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research – Recommendations for Experiment Planning, Data Analysis, and Data Reporting (2017) · cites this paper as Malik, 1996
The cited source says what the claim attributes to it.
In the citing paper
“More specifically, HF corresponds to vagal tone when between 0.15 and 0.40 Hz, which means between 9 and 24 cycles per minute regarding respiratory rate.”
From Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research – Recommendations for Experiment Planning, Data Analysis, and Data Reporting (2017) · cites this paper as Malik, 1996
The cited source says what the claim attributes to it.
In the citing paper
“HF, specifically between 0.15 and 0.40 Hz (Malik, 1996), reflects vagal tone.”
From Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research – Recommendations for Experiment Planning, Data Analysis, and Data Reporting (2017) · cites this paper as Malik, 1996
The cited source says what the claim attributes to it.
In the citing paper
“They recommend for short-term recording the duration of 5 min (Malik, 1996) in order to ensure comparability of results across studies and laboratories.”
From Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research – Recommendations for Experiment Planning, Data Analysis, and Data Reporting (2017) · cites this paper as Malik, 1996
The cited source says what the claim attributes to it.
In the citing paper
“This is due to the fact that HRV provides an index of the parasympathetic nervous system (Malik, 1996; Chapleau and Sabharwal, 2011).”
From Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research – Recommendations for Experiment Planning, Data Analysis, and Data Reporting (2017) · cites this paper as Malik, 1996
The cited source says what the claim attributes to it.
In the citing paper
“Finally, a critical review of the new HRV analyses methods that emerged since the Task Force regarding HRV (Malik, 1996) was realized by Sassi et al. (2015), and the conclusion was that the new methods did not bring any additional information regarding physiological underpinnings of HRV, and therefore no additional information for vagal tone.”
From Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research – Recommendations for Experiment Planning, Data Analysis, and Data Reporting (2017) · cites this paper as Malik, 1996
The cited source says what the claim attributes to it.
In the citing paper
“The Task Force mentions that the 24 h indices seem to be “stable and free of placebo effect, (which may make them) ideal variables with which to assess intervention therapies” (Malik, 1996, p. 363).”
From Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research – Recommendations for Experiment Planning, Data Analysis, and Data Reporting (2017) · cites this paper as Malik, 1996
The cited source says what the claim attributes to it.
In the citing paper
“Specific algorithms like continuous wavelet transformation minimizes motion artifact (Villarejo et al., 2013), however, this only addresses one aspect of the issue because concerns related to interpretation of the data remain (Malik, 1996).”
From Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research – Recommendations for Experiment Planning, Data Analysis, and Data Reporting (2017) · cites this paper as Malik, 1996
The cited source says what the claim attributes to it.
In the citing paper
“Regarding respiratory depth, respiratory sinus arrhythmia [which reflects HF when the breathing frequency is comprised between 9 and 24 cycles per minute (Malik, 1996)] shows greater amplitude during higher tidal volumes and lower respiratory frequencies (Hirsch and Bishop, 1981; Shaffer et al., 2014).”
From Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research – Recommendations for Experiment Planning, Data Analysis, and Data Reporting (2017) · cites this paper as Malik, 1996
The cited source says what the claim attributes to it.
In the citing paper
“The model-order chosen to perform AR should always be indicated (Malik, 1996) and be no shorter than 16 for short-term recordings (Boardman et al., 2002).”
From Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research – Recommendations for Experiment Planning, Data Analysis, and Data Reporting (2017) · cites this paper as Malik, 1996
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Citations
Cites
On the use of windows for harmonic analysis with the discrete Fourier transform
Harris, F. J. (1978) · Proceedings of the IEEE · doi:10.1109/proc.1978.10837 · Cited by 7,326
Time Series Analysis: Forecasting and Control
Kleiner, B., Box, G. E. P., & Jenkins, G. M. (1977) · Technometrics · doi:10.2307/1267710 · Cited by 6,447
Akselrod, S., Gordon, D., Ubel, F. A., Shannon, D. C., Berger, A. C., & Cohen, R. J. (1981) · Science · doi:10.1126/science.6166045 · Cited by 5,079
A New Look at the Statistical Model Identification
Akaike, H. (1974) · Springer series in statistics · doi:10.1007/978-1-4612-1694-0_16 · Cited by 4,202
Pagani, M., Lombardi, F., Guzzetti, S., Rimoldi, O., Furlan, R., Pizzinelli, P., Sandrone, G., Malfatto, G., Dell'Orto, S., & Piccaluga, E. (1986) · Circulation Research · doi:10.1161/01.res.59.2.178 · Cited by 4,130
Kleiger, R. E., Miller, J. P., Bigger, J. T., & Moss, A. J. (1987) · The American Journal of Cardiology · doi:10.1016/0002-9149(87)90795-8 · Cited by 3,995
Self-citationCardiovascular neural regulation explored in the frequency domain.
Malliani, A., Pagani, M., Lombardi, F., & Cerutti, S. (1991) · Circulation · doi:10.1161/01.cir.84.2.482 · Cited by 3,569
Self-citationAssessment of autonomic function in humans by heart rate spectral analysis
Pomeranz, B., Macaulay, R. J., Caudill, M. A., Kutz, I., Adam, D., Gordon, D., Kilborn, K. M., Barger, A. C., Shannon, D. C., Cohen, R. J., et al. (1985) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.1985.248.1.h151 · Cited by 2,876
Time series analysis forecasting and control
Janacek, G. J. (2009) · Journal of Time Series Analysis · doi:10.1111/j.1467-9892.2009.00643.x · Cited by 2,623
Frequency domain measures of heart period variability and mortality after myocardial infarction
Bigger, J. T., Fleiss, J. L., Steinman, R. C., Rolnitzky, L. M., Kleiger, R. E., & Rottman, J. N. (1992) · Circulation · doi:10.1161/01.cir.85.1.164 · Cited by 1,712
Self-citation
Research works printed but not linked: 44
- Sayers BM. Analysis of heart rate variability. Ergonomics 1973; 16: 17-32.
- Bigger JT, Fleiss JL, Steinman RC, Rolnitzky LM, KJeiger RE, Rottman JN. Frequency domain measures of heart Eur Heart J, Vol. 17, March 1996 Downloaded from https://academic.oup.com/eurheartj/article/17/3/354/485572 by guest on 10 August 2023 period variability and mortality after myocardial infarction. Circulation 1992; 85: 164-71.
- Scherer P, Ohler JP, Hirche H, Hopp H-W. Definition of a new beat-to-beat-parameter of heart rate variability (Abstr). Pacing Clin Electrophys 1993; 16: 939.
- Kay SM, Marple, SL. Spectrum analysis: A modem perspec- tive Proc IEEE 1981; 69: 1380-1419.
- Pinna GD, Maestri R, Di Cesare A, Colombo R, Minuco G. The accuracy of power-spectrum analysis of heart-rate vari- ability from annotated RR list generated by Holter systems. Physiol Meas 1994; 15: 163-79.
- De Boer RW, Karemaker JM, Strackee J. Comparing spectra of a series of point events, particularly for heart-rate vari- ability spectra. IEEE Trans Biomed Eng 1984; 31: 384-7.
- Courmel Ph, Hermida JS, Wennerblom B, Leenhardt A, Maison-Blanche P, Cauchemez B. Heart rate variability in myocardial hypertrophy and heart failure, and the effects of beta-blocking therapy. A non-spectral analysis of heart rate oscillations. Eur Heart J 1991; 12: 412-22.
- Morfill GE, Demmel V, Schmidt G. Der plotzliche Herztod: Neue Erkenntnisse durch die Anwendung komplexer Diagno- severfahren. Bioscope 1994; 2: 11-19.
- Bailey JJ, Berson AS, Garson A Jr et al. Recommendations for standardization and specifications in automated electro- cardiography. Circulation 1990; 81: 730-9.
- Kennedy HN. Ambulatory (Holter) electrocardiography tech- nology. Clin Cardiol 1992; 10: 341-56.
- DiFrancesco D, Tromba C. Inhibition of the hyperpolarizmg- activated current If, induced by acetycholine in rabbit sino-atrial node myocytes. J Physiol (Lond) 1988; 405: 477- 91.
- DiFrancesco D, Tromba C. Muscarinic control of the hyper- polarizing activated current If in rabbit sino-atrial node myocytes. J Physiol (Lond) 1988; 405: 493-510.
- Irisawa H, Giles WR. Sinus and atrioventricular node cells: Cellular electrophysiology. In: Zipes DP, Jalife J, eds. Cardiac Electrophysiology: From Cell to Bedside. Philadelphia: W. B. Saunders, 1990: 95-102.
- Trautwein W, Kameyama M. Intracellular control of calcium and potassium currents in cadiac cells. Jpn Heart J 1986; 27: 31-50.
- Levy MN. Sympathetic-parasympathetic interactions in the heart. Circ Res 1971; 29: 437^5.
- Schwartz PJ, Pagani M, Lombardi F, Malliani A, Brown AM. A cardio-cardiac sympatho-vagal reflex in the cat. Circ Res 1973; 32: 215-20.
- Malliani A, Lombardi F, Pagani M. Power spectral analysis of heart rate variability: a tool to explore neural regulatory mechanisms. Br Heart J 1994; 71: 1-2.
- Lombardi F, Sandrone G, Pempruner S et al. Heart rate variability as an index of sympathovagal interaction after myocardial infarction. Am J Cardiol 1987; 60: 1239-45.
- Lombardi F, Sandrone G, Mortara A et al. Orcadian variation of spectral indices of heart rate variability after myocardial infarction. Am Heart J 1992; 123: 1521-9.
- Kitney RI, Byrne S, Edmonds ME, Watkins PJ, Roberts VC. Heart rate variability in the assessment of autonomic diabetic neuropathy. Automedica 1982; 4: 155-67.
- Freeman R, Saul JP, Roberts MS, Berger RD, Broadbridge C, Cohen RJ. Spectral analysis of heart rate in diabetic neuropathy. Arch Neurol 1991; 48: 185-90.
- Bernardi L, Ricordi L, Lazzari P, et al. Impaired circulation modulation of sympathovagal modulation of sympathovagal activity in diabetes. Circulation 1992; 86: 1443-52.
- Koh J, Brown TE, Beightol LA, Ha CY, Eckberg DL Human autonomic rhythms: vagal cardiac mechanisms in tetraplegjc patients. J Physiol 1994; 474: 483-95.
- Adamson PB, Huang MH, Vanoli E, Foreman RD, Schwartz PJ, Hull SS Jr. Unexpected interaction between y?-adrenergic blockade and heart rate variability before and after myocardial infarction: a longitudinal study in dogs at high and low risk for sudden death. Circulation 1994; 90: 976-82.
- Vybiral T, Glaser DH, Morris G et al. Effects of low dose scopolamine on heart rate variability in acute myocardial infarction. J Am Coll Cardiol 1993; 22: 1320-6.
- Hull SS Jr, Vanoli E, Adamson PB, De Ferrari GM, Foreman RD, Schwartz PJ. Do increase in markers of vagal activity imply protection from sudden death? The case of scopolamine. Circulation 1995; 91: 2516-9
- Zabel M, Klingenheben T, Hohnloser SH. Changes in auto- nomic tone following thrombolytic therapy for acute myo- cardial infarction: assessment by analysis of heart rate variability. J Cardiovasc Electrophysiol 1994; 4: 211-18.
- La Rovere MT, Mortara A, Sandrone G, Lombardi F. Autonomic nervous system adaptation to short-term exercise training. Chest 1992; 101: 299-303.
- Malik M, Camm AJ. Significant of long-term components of heart rate variability for the further prognosis after acute myocardial infarction. Cardiovasc Res 1990; 24: 793-803.
- Bellavere F, Balzani I, De Masi G et al. Power spectral analysis of heart rate variation improves assessment of diabetic cardiac autonomic neuropathy. Diabetes 1992; 41: 633-40.
- Van den Akker TJ, Koelman ASM, Hogenhuis LAH, Rompelman G. Heart rate variability and blood pressure oscillations in diabetics with autonomic neuropathy. Auto- medica 1983; 4: 201-8.
- Guzzetti S, Dassi S, Pecis M et al. Altered pattern of circardian neural control of heart period in mild hyperten- sion. J Hypertens 1991; 9: 831-838.
- Binkley PF, Haas GJ, Starling RC et al. Sustained augmen- tation of parasympathetic tone with angiotensin converting enzyme inhibitor in patients with congestive heart failure. J Am Coll Cardiol 1993; 21: 655-61.
- Huikuri HV, Linnaluoto MK, Seppanen T et al. Orcadian rhythm of heart rate variability in survivors of cardiac arrest. Am J Cardiol 1992; 70: 610-15.
- Myers GA, Martin GJ, Magid NM et al. Power spectral analysis of heart rate variability in sudden cardiac death: comparison to other methods. IEEE Trans Biomed Eng 1986; 33: 1149-56.
- Martin GJ, Magid NM, Myers G et al. Heart rate variability and sudden death secondary to coronary artery disease during ambulatory ECG monitoring. Am J Cardiol 1986; 60: 86-9.
- Vybiral T, Glaeser DH, Goldberger AL et al. Conventional heart rate variability analysis of ambulatory electrocardio- graphic recordings fails to predict imminent ventricular fibrillation. J Am Coll Cardiol 1993; 22: 557-65.
- Kocovic DZ, Harada T, Shea JB, Soroff D, Friedman PL. Alterations of heart rate and of heart rate variability after radiofrequency catheter ablation of supraventricular tachy- cardia. Circulation 1993; 88: 1671-81.
- Lefler CT, Saul JP, Cohen RJ. Rate-related and autonomic effects on atnoventricular conduction assessed through beat- to-beat PR interval and cycle length variability. J Cardiovasc Electrophys 1994; 5: 2-15.
- Appel ML, Saul JP, Berger RD, Cohen RJ. Closed loop identification of cardiovascular circulatory mechanisms. Computers in Cardiology 1989. Los Alamitos: IEEE Press, 1990: 3-7.
- Tsuji H, Venditti FJ, Manders ES et al. Reduced heart rate variability and mortality risk in an elderly cohort: The Framingham Study. Circulation 1994; 90: 878-83.
- Vanoli E, Adamson PB, Lin B, Pinna GD, Lazzara R, Or WC. Heart rate variability during specific sleep stages: a comparison of healthy subjects with patients after myo- cardial infarction. Circulation 1995, 91: 1918-22.
- Malfatto G, Rosen TS, Steinberg SF et al. Sympathetic neural modulation of cardiac impulse initiation and repolan- zation in the newborn rat. Circ Res 1990; 66: 427-37.
- Bigger JT Jr, Fleiss JL, Steinman RC, Rolnitzky LM, Schneider WJ, Stein PK. RR variability in healthy, middle- age persons compared with patients with chronic coronary heart disease or recent acute myocardial infarction. Circula- tion 1995; 91: 1936-43.
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Umetani, K., Singer, D. H., McCraty, R., & Atkinson, M. (1998) · Journal of the American College of Cardiology · doi:10.1016/s0735-1097(97)00554-8 · Cited by 1,145
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Tarvainen, M. P., Ranta-aho, P. O., & Karjalainen, P. A. (2002) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.979357 · Cited by 1,167
Wada, K., Tanaka, K., & Nakashima, K. (2011) · PubMed · Cited by 1,132
Park, B. J., Tsunetsugu, Y., Kasetani, T., Kagawa, T., & Miyazaki, Y. (2010) · Environmental Health and Preventive Medicine · doi:10.1007/s12199-009-0086-9 · Cited by 1,116
Julian, D. G., CAMM, A. J., Frangin, G., Janse, M. J., Munoz, A., Pj, S., & Simon, P. (1997) · The Lancet · doi:10.1016/s0140-6736(96)09145-3 · Cited by 1,100
Self-citationSympathovagal Balance: A Critical Appraisal
Eckberg, D. L. (1997) · Circulation · doi:10.1161/01.cir.96.9.3224 · Cited by 1,087
Anxiety Disorders are Associated with Reduced Heart Rate Variability: A Meta-Analysis
Chalmers, J. A., Quintana, D. S., Abbott, M. J.-A., & Kemp, A. H. (2014) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2014.00080 · Cited by 1,067
Do existing measures of Poincaré plot geometry reflect nonlinear features of heart rate variability
Brennan, M., Palaniswami, M., & Kamen, P. (2001) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.959330 · Cited by 1,044
Mccraty, R., & Shaffer, F. (2015) · Global Advances in Health and Medicine · doi:10.7453/gahmj.2014.073 · Cited by 1,039
The role of vagal function in the risk for cardiovascular disease and mortality
Thayer, J. F., & Lane, R. D. (2007) · Biological Psychology · doi:10.1016/j.biopsycho.2005.11.013 · Cited by 1,033
Auricchio, A., Stellbrink, C., Sack, S., Block, M. S., Vogt, J. Ü., Bakker, P. F. A., Huth, C., Schöndube, F. A., WOLFHARD, U. F., Böcker, D., et al. (2002) · Journal of the American College of Cardiology · doi:10.1016/s0735-1097(02)01895-8 · Cited by 1,025
Pappone, C., Santinelli, V., Manguso, F., Vicedomini, G., Gugliotta, F., Augello, G., Mazzone, P., Tortoriello, V., Landoni, G., Zangrillo, A., et al. (2004) · Circulation · doi:10.1161/01.cir.0000112641.16340.c7 · Cited by 1,018
CURRENT RESEARCH IN SOCIAL PSYCHOLOGY
Markovsky, B. (1996) · Cited by 994
von Borell, E., Langbein, J., Desprès, G., Hansen, S., Leterrier, C., Marchant, J. N., Marchant-Forde, R. M., Minero, M., Möhr, E., Prunier, A., et al. (2007) · Physiology & Behavior · doi:10.1016/j.physbeh.2007.01.007 · Cited by 973
Reyes del Paso, G. A., Langewitz, W., Mulder, L. J. M., van Roon, A., & Duschek, S. (2013) · Psychophysiology · doi:10.1111/psyp.12027 · Cited by 954
Gait variability: methods, modeling and meaning
Hausdorff, J. M. (2005) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-2-19 · Cited by 942
Fuster, V., Rydén, L., Cannom, D. S., Crijns, H. J. G. M., Curtis, A. B., Ellenbogen, K. A., Halperin, J. L., Kay, G. N., Huezey, J.-Y. L., Lowe, J. E., et al. (2011) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2010.09.013 · Cited by 928
La Rovere, M. T., Pinna, G. D., Maestri, R., Mortara, A., Capomolla, S., Febo, O., Ferrari, R., Franchini, M., Gnemmi, M., Opasich, C., et al. (2003) · Circulation · doi:10.1161/01.cir.0000047275.25795.17 · Cited by 917
Heart Rate Variability in Athletes
AUBERT, A. E., Seps, B., & Beckers, F. (2003) · Sports Medicine · doi:10.2165/00007256-200333120-00003 · Cited by 981
Wavelet transforms and the ECG: a review
Addison, P. S. (2005) · Physiological Measurement · doi:10.1088/0967-3334/26/5/r01 · Cited by 908
Yasuma, F., & Hayano, J.-I. (2004) · Chest · doi:10.1378/chest.125.2.683 · Cited by 907
The Role of Emotion Regulation in Autism Spectrum Disorder
Mazefsky, C. A., Herrington, J., Siegel, M., Scarpa, A., Maddox, B. B., Scahill, L., & White, S. W. (2013) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2013.05.006 · Cited by 881
Monitoring training status with HR measures: do all roads lead to Rome?
Buchheit, M. (2014) · Frontiers in Physiology · doi:10.3389/fphys.2014.00073 · Cited by 1,016
Pagani, M., Montano, N., Porta, A., Malliani, A., Abboud, F. M., Birkett, C. L., & Somers, V. K. (1997) · Circulation · doi:10.1161/01.cir.95.6.1441 · Cited by 886
Self-citationNUNAN, D., SANDERCOCK, G. R. H., & BRODIE, D. A. (2010) · Pacing and Clinical Electrophysiology · doi:10.1111/j.1540-8159.2010.02841.x · Cited by 874
Ambient Pollution and Heart Rate Variability
Gold, D. R., Litonjua, A. A., Schwartz, J. D., Lovett, E. G., Larson, A. C., Nearing, B. D., Allen, G. A., Verrier, M., Cherry, R. C., & Verrier, R. L. (2000) · Circulation · doi:10.1161/01.cir.101.11.1267 · Cited by 869
Sex differences in healthy human heart rate variability: A meta-analysis
Koenig, J., & Thayer, J. F. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.03.007 · Cited by 860
Dekker, J. M., Crow, R. S., Folsom, A. R., Hannan, P. J., Liao, D., Swenne, C. A., & Schouten, E. G. (2000) · Circulation · doi:10.1161/01.cir.102.11.1239 · Cited by 876
Fuster, V., Rydén, L. E., Cannom, D. S., Crijns, H. J., Curtis, A. B., Ellenbogen, K. A., Halperin, J. L., Kay, G. N., Le Huezey, J.-Y., Lowe, J. E., et al. (2011) · Circulation · doi:10.1161/cir.0b013e318214876d · Cited by 859
Brazilian Longitudinal Study of Adult Health (ELSA-Brasil): Objectives and Design
Aquino, E. M. L., Barreto, S. M., Benseñor, I. M., Carvalho, M. S., Chor, D., Duncan, B. B., Lotufo, P. A., Mill, J. G., Molina, M. D. C. B., Mota, E., et al. (2012) · American Journal of Epidemiology · doi:10.1093/aje/kwr294 · Cited by 813
Exercise is the real polypill.
Fiuza-Luces, C., Garatachea, N., Berger, N. A., & Lucia, A. (2013) · Physiology · doi:10.1152/physiol.00019.2013 · Cited by 791
Chida, Y., & Steptoe, A. (2010) · Hypertension · doi:10.1161/hypertensionaha.109.146621 · Cited by 787
The effect of mental stress on heart rate variability and blood pressure during computer work
Hjortskov, N., Riss�n, D., Blangsted, A. K., Fallentin, N., Lundberg, U., & Søgaard, K. (2004) · European Journal of Applied Physiology · doi:10.1007/s00421-004-1055-z · Cited by 811
Activity Classification Using Realistic Data From Wearable Sensors
Pärkkä, J., Ermes, M., Korpipää, P., Mäntyjärvi, J., Peltola, J., & Korhonen, I. (2006) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2005.856863 · Cited by 759
Effects of Work Stress on Ambulatory Blood Pressure, Heart Rate, and Heart Rate Variability
Vrijkotte, T. G. M., van Doornen, L. J. P., & de Geus, E. J. C. (2000) · Hypertension · doi:10.1161/01.hyp.35.4.880 · Cited by 756
Depression, Heart Rate Variability, and Acute Myocardial Infarction
Carney, R. M., Blumenthal, J. A., Stein, P. K., Watkins, L. L., Catellier, D., Berkman, L. F., Czajkowski, S. M., O’Connor, C. M., Stone, P. H., & Freedland, K. E. (2001) · Circulation · doi:10.1161/hc4201.097834 · Cited by 764
Vanderlei (2009) · doi:10.1590/s0102-76382009000200018 · Cited by 744
Is job strain a major source of cardiovascular disease risk?
Belkic, K. L., Landsbergis, P. A., Schnall, P. L., & Baker, D. B. (2004) · Scandinavian Journal of Work Environment & Health · doi:10.5271/sjweh.769 · Cited by 761
An autonomic flexibility–neurovisceral integration model of anxiety and cardiac vagal tone
Friedman, B. H. (2007) · Biological Psychology · doi:10.1016/j.biopsycho.2005.08.009 · Cited by 739
A Wearable Health Care System Based on Knitted Integrated Sensors
Paradiso, R., Loriga, G., & Taccini, N. (2005) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2005.854512 · Cited by 729
Sassi, R., Cerutti, S., Lombardi, F., Malik, M., Huikuri, H. V., Peng, C.-K., Schmidt, G., Yamamoto, Y., Reviewers:, D., Gorenek, B., et al. (2015) · Europace · doi:10.1093/europace/euv015 · Cited by 727
Prognostic Value of Nocturnal Cheyne-Stokes Respiration in Chronic Heart Failure
Lanfranchi, P. A., Braghiroli, A., Bosimini, E., MAZZUERO, G., Colombo, R., Donner, C. F., & Giannuzzi, P. (1999) · Circulation · doi:10.1161/01.cir.99.11.1435 · Cited by 716
Measuring mental workload using physiological measures: A systematic review
Charles, R. L., & Nixon, J. (2018) · Applied Ergonomics · doi:10.1016/j.apergo.2018.08.028 · Cited by 729
Impact of views to school landscapes on recovery from stress and mental fatigue
Li, D., & Sullivan, W. C. (2016) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2015.12.015 · Cited by 706
Depression and coronary heart disease
Carney, R. M., & Freedland, K. E. (2017) · Nature Reviews Cardiology · doi:10.1038/nrcardio.2016.181 · Cited by 705
La Rovere, M. T., Pinna, G. D., Hohnloser, S. H., Marcus, F. I., Mortara, A., Nohara, R., Bigger, J. T., Camm, A. J., & Schwartz, P. J. (2001) · Circulation · doi:10.1161/01.cir.103.16.2072 · Cited by 697
Self-citationStreeter, C. C., Gerbarg, P. L., Saper, R. B., Ciraulo, D. A., & Brown, R. P. (2012) · Medical Hypotheses · doi:10.1016/j.mehy.2012.01.021 · Cited by 694
Circadian misalignment increases cardiovascular disease risk factors in humans
Morris, C. J., Purvis, T. E., Hu, K., & Scheer, F. A. J. L. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1516953113 · Cited by 691
Chuang, K.-J., Chan, C.-C., Su, T.-C., Lee, C.-T., & Tang, C.-S. (2007) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200611-1627oc · Cited by 685
Neural correlates of heart rate variability during emotion
Lane, R. D., Kateri Mcrae, A., Reiman, E. M., Chen, K., Ahern, G. L., & Thayer, J. F. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.07.056 · Cited by 687
The journal of maternal-fetal & neonatal medicine
Societies, O. P. (2002) · Cited by 675
Israel, S. A., Irvine, J. M., Cheng, A., Wiederhold, M. D., & Wiederhold, B. K. (2004) · Pattern Recognition · doi:10.1016/j.patcog.2004.05.014 · Cited by 670
Review on Psychological Stress Detection Using Biosignals
Giannakakis, G., Grigoriadis, D., Giannakaki, K., Simantiraki, O., Roniotis, A., & Tsiknakis, M. (2022) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2019.2927337 · Cited by 764
Huikuri, H. V., Mäkikallio, T. H., Peng, C., Goldberger, A. L., Hintze, U., & Møller, M. (2000) · Circulation · doi:10.1161/01.cir.101.1.47 · Cited by 668
ACC/AHA/ESC 2006 guidelines for the management of patients with atrial fibrillation: full text
Fuster, V., Rydén, L., Cannom, D. S., Crijns, H. J. G. M., Curtis, A. B., Ellenbogen, K. A., Halperin, J. L., Heuzey, J. L., Kay, G. N., Lowe, J. E., et al. (2006) · EP Europace · doi:10.1093/europace/eul097 · Cited by 670
Self-citationHow accurate is pulse rate variability as an estimate of heart rate variability?
Schäfer, A., & Vagedes, J. (2013) · International Journal of Cardiology · doi:10.1016/j.ijcard.2012.03.119 · Cited by 661
Health effects of particulate air pollution: A review of epidemiological evidence
Rückerl, R., Schneider, A. E., Breitner, S., Cyrys, J., & Peters, A. (2011) · Inhalation Toxicology · doi:10.3109/08958378.2011.593587 · Cited by 677
Bauer, A., Kantelhardt, J. W., Barthel, P., Schneider, R., Mäkikallio, T. H., Ulm, K., Hnatkova, K., Schömig, A., Huikuri, H. V., Armin Bunde, A., et al. (2006) · The Lancet · doi:10.1016/s0140-6736(06)68735-7 · Cited by 647
A Virtual Reprise of the Stanley Milgram Obedience Experiments
Slater, M., Antley, A., Davison, A. R., Swapp, D., Guger, C., Barker, C., Pistrang, N., & Sanchez-Vives, M. V. (2006) · PLoS ONE · doi:10.1371/journal.pone.0000039 · Cited by 632
Nater, U. M., La Marca, R., Florin, L., Moses, A., Langhans, W., Koller, M. M., & Ehlert, U. (2006) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2005.05.010 · Cited by 630
Functional assessment of heart rate variability: physiological basis and practical applications
Pumprla, J., Howorka, K., Groves, D., Chester, M., & Nolan, J. (2002) · International Journal of Cardiology · doi:10.1016/s0167-5273(02)00057-8 · Cited by 629
Plews, D. J., Laursen, P. B., Stanley, J., Kilding, A. E., & Buchheit, M. (2013) · Sports Medicine · doi:10.1007/s40279-013-0071-8 · Cited by 617
Psychosomatics and psychopathology: looking up and down from the brain
Thayer, J. F., & Brosschot, J. F. (2005) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2005.04.014 · Cited by 616
Heart rate variability reflects self-regulatory strength, effort, and fatigue
Segerstrom, S. C., & Nes, L. S. (2007) · Psychological Science · doi:10.1111/j.1467-9280.2007.01888.x · Cited by 606
The effect of heart rate variability biofeedback training on stress and anxiety: a meta-analysis
Goessl, V. C., Curtiss, J. E., & Hofmann, S. G. (2017) · Psychological Medicine · doi:10.1017/s0033291717001003 · Cited by 683
Heart rate variability associated with particulate air pollution
Pope, C. A., Verrier, R. L., Lovett, E. G., Larson, A. C., Raizenne, M. E., Kanner, R. E., Schwartz, J., Villegas, G. M., Gold, D. R., & Dockery, D. W. (1999) · American Heart Journal · doi:10.1016/s0002-8703(99)70014-1 · Cited by 595
Altered Cardiovascular Variability in Obstructive Sleep Apnea
Narkiewicz, K., Montano, N., Cogliati, C. B., van de Borne, P. J. H., Dyken, M. E., & Somers, V. K. (1998) · Circulation · doi:10.1161/01.cir.98.11.1071 · Cited by 607
Methods derived from nonlinear dynamics for analysing heart rate variability
Voss, A., Schulz, S., Schroeder, R., Baumert, M., & Caminal, P. (2008) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2008.0232 · Cited by 595
Schmidt, F., Malík, Barthel, & Schneider, R. (1999) · The Lancet · Cited by 594
Jahng, S., Wood, P. K., & Trull, T. J. (2008) · Psychological Methods · doi:10.1037/a0014173 · Cited by 593
Yoga, mindfulness-based stress reduction and stress-related physiological measures: A meta-analysis.
Pascoe, M. C., Thompson, D. R., & Ski, C. F. (2017) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2017.08.008 · Cited by 570
Metadata
- Authors
- Malik, M., Bigger, J. T., Camm, A. J., Kleiger, R. E., Malliani, A., Moss, A. J., & Schwartz, P. J.
- Affiliations
- St George's Hospital (GB)
- St George's, University of London (GB)
- IRCCS Istituto Auxologico Italiano (IT)
- Corresponding author
- Malik, M.
- Venue
- European Heart Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 1996-03-01
- Volume
- 17
- Issue
- 3
- Pages
- 354-381
- ISSN
- 0195-668X (ISSN-L)
- 1522-9645
- OpenAlex
- W2133589238
- Cited by
- 15,289
- References
- 132
- Citations by year
- 2026: 264 · 2025: 379 · 2024: 405 · 2023: 419 · 2022: 541 · 2021: 793 · 2020: 820 · 2019: 843 · 2018: 820 · 2017: 787 · 2016: 818 · 2015: 808 · 2014: 863 · 2013: 834 · 2012: 732
- FWCI
- 101.60
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- European Heart Journal (publishedVersion)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac electrophysiology and arrhythmias
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
- Keywords
- heart rate variability, measurement standards, physiological interpretation, clinical application, autonomic nervous system, cardiac autonomic function
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