The DOI matches its Crossref record, with a small difference in title or year; 132 of the 132 references it cites were found in a registry or an index.
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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Bharucha, A. E., Charkoudian, N., Andrews, C. N., Camilleri, M., Sletten, D., Zinsmeister, A. R., & Low, P. A. (2008) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00153.2008 · Cited by 98
Chalmers, J. A., Heathers, J. A. J., Abbott, M. J., Kemp, A. H., & Quintana, D. S. (2016) · BMC Psychology · doi:10.1186/s40359-016-0138-z · Cited by 102
Pichon, A., Roulaud, M., Antoine-Jonville, S., de Bisschop, C., & Denjean, A. (2006) · Journal of Electrocardiology · doi:10.1016/j.jelectrocard.2005.08.001 · Cited by 100
Narita, K., Murata, T., Hamada, T., Takahashi, T., Omori, M., Suganuma, N., Yoshida, H., & Wada, Y. (2007) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2006.01.003 · Cited by 100
Heart rate variability predicts control over memory retrieval.
Gillie, B. L., Vasey, M. W., & Thayer, J. F. (2014) · Psychological Science · doi:10.1177/0956797613508789 · Cited by 95
Inflammation and cardiorespiratory control: the role of the vagus nerve.
Thayer, J. F., Loerbroks, A., & Sternberg, E. M. (2011) · Respiratory Physiology & Neurobiology · doi:10.1016/j.resp.2011.05.016 · Cited by 97
Interruptibility of Software Developers and its Prediction Using Psycho-Physiological Sensors
Züger, M., & Fritz, T. (2015) · Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems · doi:10.1145/2702123.2702593 · Cited by 96
Friedrich, E. V. C., Suttie, N., Sivanathan, A., Lim, T., Louchart, S., & Pineda, J. A. (2014) · Frontiers in Neuroengineering · doi:10.3389/fneng.2014.00021 · Cited by 99
Roeser, K., Obergfell, F., Meule, A., Vögele, C., Schlarb, A. A., & Kübler, A. (2012) · Physiology & Behavior · doi:10.1016/j.physbeh.2012.01.023 · Cited by 95
Heart rate variability in acute psychosis
Valkonen‐Korhonen, M., Tarvainen, M. P., Ranta‐Aho, P., Karjalainen, P. A., Partanen, J., Karhu, J., & Lehtonen, J. (2003) · Psychophysiology · doi:10.1111/1469-8986.00072 · Cited by 94
Jarrett, M. E., Burr, R. L., Cain, K. C., Hertig, V., Weisman, P., & Heitkemper, M. M. (2003) · Digestive Diseases and Sciences · doi:10.1023/a:1021904216312 · Cited by 94
Hopper, J. W., Spinazzola, J., Simpson, W. B., & van der Kolk, B. A. (2006) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2005.06.002 · Cited by 94
Duncan, J. R., Garland, M., Myers, M. M., Fifer, W. P., Yang, M., Kinney, H. C., & Stark, R. I. (2009) · Journal of Applied Physiology · doi:10.1152/japplphysiol.91629.2008 · Cited by 93
Heart rate and heart rate variability of healthy cats in home and hospital environments
Abbott, J. A. (2005) · Journal of Feline Medicine and Surgery · doi:10.1016/j.jfms.2004.12.003 · Cited by 92
Coopmans, C., Zhou, T. L., Henry, R. M. A., Heijman, J., Schaper, N. C., Koster, A., Schram, M. T., van der Kallen, C. J. H., Wesselius, A., den Engelsman, R. J. A., et al. (2020) · Diabetes Care · doi:10.2337/dc19-2367 · Cited by 93
Jensen, M. T., Treskes, R. W., Caiani, E. G., Casado-Arroyo, R., Cowie, M. R., Dilaveris, P., Duncker, D., Di Rienzo, M., Frederix, I., De Groot, N., et al. (2021) · European Heart Journal - Digital Health · doi:10.1093/ehjdh/ztab011 · Cited by 93
Ellis, R. J., Zhu, B., Koenig, J., Thayer, J. F., & Wang, Y. (2015) · Physiological Measurement · doi:10.1088/0967-3334/36/9/1827 · Cited by 85
Laborde, S., Hosang, T., Mosley, E., & Dosseville, F. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8020193 · Cited by 92
Gonzalez, J., Soma, H., Sekine, M., & Yu, W. (2012) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-9-33 · Cited by 87
Respiratory sinus arrhythmia reactivity in current and remitted major depressive disorder
Bylsma, L. M., Salomon, K., Taylor-Clift, A., Morris, B. H., & Rottenberg, J. (2014) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000019 · Cited by 89
An Ultra Low Power Personalizable Wrist Worn ECG Monitor Integrated With IoT Infrastructure
Beach, C., Krachunov, S., Pope, J., Fafoutis, X., Piechocki, R. J., Craddock, I., & Casson, A. J. (2018) · IEEE Access · doi:10.1109/access.2018.2864675 · Cited by 91
Nocturnal hypertension and impaired sympathovagal tone in Turner syndrome
Gravholt, C. H., Hansen, K. W., Erlandsen, M., Ebbehøj, E., & Christiansen, J. S. (2006) · Journal of Hypertension · doi:10.1097/01.hjh.0000200509.17947.0f · Cited by 90
Agorastos, A., Boel, J. A., Heppner, P. S., Hager, T., Moeller-Bertram, T., Haji, U., Motazedi, A., Yanagi, M. A., Baker, D. G., & Stiedl, O. (2013) · Stress · doi:10.3109/10253890.2012.751369 · Cited by 88
de Vente, W., van Amsterdam, J. G. C., Olff, M., Kamphuis, J. H., & Emmelkamp, P. M. G. (2015) · BioMed Research International · doi:10.1155/2015/431725 · Cited by 90
Papini, G. B., Fonseca, P., van Gilst, M. M., Bergmans, J. W. M., Vullings, R., & Overeem, S. (2020) · Scientific Reports · doi:10.1038/s41598-020-69935-7 · Cited by 90
Neurohumoral and haemodynamic profile in postural tachycardia and chronic fatigue syndromes
Okamoto, L. E., Raj, S. R., Peltier, A., Gamboa, A., Shibao, C., Diedrich, A., Black, B. K., Robertson, D., & Biaggioni, I. (2012) · Clinical Science · doi:10.1042/cs20110200 · Cited by 89
Laborde, S., Allen, M. S., Borges, U., Iskra, M., Zammit, N., You, M., Hosang, T., Mosley, E., & Dosseville, F. (2022) · Psychophysiology · doi:10.1111/psyp.13952 · Cited by 89
Cichosz, S. L., Frystyk, J., Hejlesen, O. K., Tarnow, L., & Fleischer, J. (2014) · Journal of Diabetes Science and Technology · doi:10.1177/1932296814528838 · Cited by 88
Machine learning improves risk stratification after acute coronary syndrome
Myers, P. D., Scirica, B. M., & Stultz, C. M. (2017) · Scientific Reports · doi:10.1038/s41598-017-12951-x · Cited by 75
Zimmermann-Viehoff, F., Thayer, J., Koenig, J., Herrmann, C., Weber, C. S., & Deter, H.-C. (2016) · Nutritional Neuroscience · doi:10.1179/1476830515y.0000000018 · Cited by 87
Kline, C. E., Sui, X., Hall, M. H., Youngstedt, S. D., Blair, S. N., Earnest, C. P., & Church, T. S. (2012) · BMJ Open · doi:10.1136/bmjopen-2012-001044 · Cited by 87
Strangers, Friends, and Lovers Show Different Physiological Synchrony in Different Emotional States
Bizzego, A., Azhari, A., Campostrini, N., Truzzi, A., Ng, L. Y., Gabrieli, G., Bornstein, M. H., Setoh, P., & Esposito, G. (2019) · Behavioral Sciences · doi:10.3390/bs10010011 · Cited by 85
Acute caffeine intake influences central more than peripheral blood pressure in young adults
Waring, W. (2003) · American Journal of Hypertension · doi:10.1016/s0895-7061(03)01014-8 · Cited by 84
Cohen, H., Kaplan, Z., Matar, M. A., Loewenthal, U., Zohar, J., & Richter-Levin, G. (2007) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2006.11.003 · Cited by 84
Hydration State Controls Stress Responsiveness and Social Behavior
Krause, E. G., de Kloet, A. D., Flak, J. N., Smeltzer, M. D., Solomon, M. B., Evanson, N. K., Woods, S. C., Sakai, R. R., & Herman, J. P. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.6078-10.2011 · Cited by 85
Reduction of autonomic regulation in children and adolescents with conversion disorders
Kozlowska, K., Palmer, D. M., Brown, K. J., McLean, L., Scher, S., Gevirtz, R., Chudleigh, C., & Williams, L. M. (2015) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000184 · Cited by 82
‘The effect of different genres of music on the stress levels of kennelled dogs’
Bowman, A., Dowell, F. J., & Evans, N. P. (2017) · Physiology & Behavior · doi:10.1016/j.physbeh.2017.01.024 · Cited by 82
Autonomic and hypothalamic-pituitary-adrenal stress resilience: impact of cardiac vagal tone.
Smeets, T. (2010) · Biological Psychology · doi:10.1016/j.biopsycho.2010.02.015 · Cited by 83
Autonomic cardiovascular responses are impaired in women with irritable bowel syndrome
Waring, W. S., Chui, M., Japp, A., Nicol, E. F., & Ford, M. J. (2004) · Journal of Clinical Gastroenterology · doi:10.1097/01.mcg.0000135362.35665.49 · Cited by 83
La Rovere, M. T., Pinna, G. D., Maestri, R., Barlera, S., Bernardinangeli, M., Veniani, M., Nicolosi, G. L., Marchioli, R., Tavazzi, L., & for the GISSI-HF Investigators (2012) · European Journal of Heart Failure · doi:10.1093/eurjhf/hfs126 · Cited by 82
Balcıoğlu, S., Arslan, U., Türkoğlu, S., Özdemir, M., & Çengel, A. (2007) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2007.03.106 · Cited by 83
The breathing effect of the LF/HF ratio in the heart rate variability measurements of athletes.
Saboul, D., Pialoux, V., & Hautier, C. (2014) · European Journal of Sport Science · doi:10.1080/17461391.2012.691116 · Cited by 76
Jung, W., Jang, K.-I., & Lee, S.-H. (2019) · Clinical Psychopharmacology and Neuroscience · doi:10.9758/cpn.2019.17.4.459 · Cited by 81
Heart rate variability and plasma lipids in men with and without ischaemic heart disease
Christensen, J. H., Toft, E., Christensen, M. S., & Schmidt, E. B. (1999) · Atherosclerosis · doi:10.1016/s0021-9150(99)00052-0 · Cited by 80
Spectral components of heart rate variability determined by wavelet analysis
Lotric, M. B., Stefanovska, A., Stajer, D., & Urbancic-Rovan, V. (2000) · Physiological Measurement · doi:10.1088/0967-3334/21/4/302 · Cited by 80
Azam, M. A., Katz, J., Fashler, S. R., Changoor, T., Azargive, S., & Ritvo, P. (2015) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2015.06.005 · Cited by 78
Heart rate variability and methylphenidate in children with ADHD
Buchhorn, R., Conzelmann, A., Willaschek, C., Störk, D., Taurines, R., & Renner, T. J. (2012) · ADHD Attention Deficit and Hyperactivity Disorders · doi:10.1007/s12402-012-0072-8 · Cited by 79
Rashba, E. J., Estes, N. A. M., Wang, P., Schaechter, A., Howard, A., Zareba, W., Couderc, J.-P., Perkiomaki, J., Levine, J., & Kadish, A. (2006) · Heart Rhythm · doi:10.1016/j.hrthm.2005.11.028 · Cited by 78
Sex differences in the neural correlates of autonomic arousal: a pilot PET study
Nugent, A. C., Bain, E. E., Thayer, J. F., Sollers, J. J., & Drevets, W. C. (2011) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2011.03.001 · Cited by 78
Jarczok, M. N., Li, J., Mauss, D., Fischer, J. E., & Thayer, J. F. (2013) · International Journal of Cardiology · doi:10.1016/j.ijcard.2012.02.002 · Cited by 79
Harrison, N. A., Cooper, E., Voon, V., Miles, K., & Critchley, H. D. (2013) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2013.02.001 · Cited by 76
Huikuri, H. V., Exner, D. V., Kavanagh, K. M., Aggarwal, S. G., Mitchell, L. B., Messier, M. D., Becker, D., Sheldon, R. S., & Bloch Thomsen, P.-E. (2010) · Heart Rhythm · doi:10.1016/j.hrthm.2009.11.004 · Cited by 77
Mayo, O., Lavidor, M., & Gordon, I. (2021) · Physiology & Behavior · doi:10.1016/j.physbeh.2021.113391 · Cited by 73
Fusaroli, R., Bjørndahl, J. S., Roepstorff, A., & Tylén, K. (2016) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037/xhp0000207 · Cited by 76
Serino, S., Triberti, S., Villani, D., Cipresso, P., Gaggioli, A., & Riva, G. (2014) · Virtual Reality · doi:10.1007/s10055-013-0237-6 · Cited by 75
Endogenous Circadian Rhythm in Vasovagal Response to Head-Up Tilt
Hu, K., Scheer, F. A. J. L., Laker, M., Smales, C., & Shea, S. A. (2011) · Circulation · doi:10.1161/circulationaha.110.943019 · Cited by 74
Gashi, S., Di Lascio, E., & Santini, S. (2019) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies · doi:10.1145/3314400 · Cited by 74
Dissection of long-range heart rate variability
Roach, D., Wilson, W., Ritchie, D., & Sheldon, R. (2004) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2004.01.050 · Cited by 74
The Influence of Buddhist Meditation Traditions on the Autonomic System and Attention
Amihai, I., & Kozhevnikov, M. (2015) · BioMed Research International · doi:10.1155/2015/731579 · Cited by 71
“4Hz [36–40], and the ratio between low and high frequencies (LF/HF) [30].”
InfluentialAttention-deficit hyperactivity disorder and cardiac vagal control: a systematic review
Rash, J. A., & Aguirre-Camacho, A. (2012) · ADHD Attention Deficit and Hyperactivity Disorders · doi:10.1007/s12402-012-0087-1 · Cited by 72
Distal sudomotor findings in postural tachycardia syndrome
Peltier, A. C., Garland, E., Raj, S. R., Sato, K., Black, B., Song, Y., Wang, L., Biaggioni, I., Diedrich, A., & Robertson, D. (2010) · Clinical Autonomic Research · doi:10.1007/s10286-009-0045-y · Cited by 70
Kudo, N., Shinohara, H., & Kodama, H. (2014) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-014-9259-4 · Cited by 70
Nissinen, S. I., Mäkikallio, T. H., Seppänen, T., Tapanainen, J. M., Salo, M., Tulppo, M. P., & Huikuri, H. V. (2003) · The American Journal of Cardiology · doi:10.1016/s0002-9149(02)03410-0 · Cited by 70
Effects of an Isotonic Beverage on Autonomic Regulation During and After Exercise
Moreno, I. L., Pastre, C. M., Ferreira, C., de Abreu, L. C., Valenti, V. E., & Vanderlei, L. C. M. (2013) · Journal of the International Society of Sports Nutrition · doi:10.1186/1550-2783-10-2 · Cited by 70
Chan, J. L., Mietus, J. E., Raciti, P. M., Goldberger, A. L., & Mantzoros, C. S. (2007) · Clinical Endocrinology · doi:10.1111/j.1365-2265.2006.02684.x · Cited by 68
Liu, Q., Wang, E. M., Yan, X. J., & Chen, S. L. (2013) · Journal of Digestive Diseases · doi:10.1111/1751-2980.12092 · Cited by 69
Analysis of a Pulse Rate Variability Measurement Using a Smartphone Camera
Bánhalmi, A., Borbás, J., Fidrich, M., Bilicki, V., Gingl, Z., & Rudas, L. (2018) · Journal of Healthcare Engineering · doi:10.1155/2018/4038034 · Cited by 69
Heitkemper, M. M., Cain, K. C., Burr, R. L., Jun, S.-E., & Jarrett, M. E. (2011) · Biological Research For Nursing · doi:10.1177/1099800410393274 · Cited by 68
Kumral, D., Schaare, H. L., Beyer, F., Reinelt, J., Uhlig, M., Liem, F., Lampe, L., Babayan, A., Reiter, A., Erbey, M., et al. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.027 · Cited by 64
Kukolja, D., Popović, S., Horvat, M., Kovač, B., & Ćosić, K. (2014) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2014.05.006 · Cited by 66
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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