The DOI matches its Crossref record; 116 of the 118 references it cites were found in a registry or an index.
Heart rate variability: measurement and clinical utility.
Open accessAbstract
Electrocardiographic RR intervals fluctuate cyclically, modulated by ventilation, baroreflexes, and other genetic and environmental factors that are mediated through the autonomic nervous system. Short term electrocardiographic recordings (5 to 15 minutes), made under controlled conditions, e.g., lying supine or standing or tilted upright can elucidate physiologic, pharmacologic, or pathologic changes in autonomic nervous system function. Long‐term, usually 24‐hour recordings, can be used to assess autonomic nervous responses during normal daily activities in health, disease, and in response to therapeutic interventions, e.g., exercise or drugs. RR interval variability is useful for assessing risk of cardiovascular death or arrhythmic events, especially when combined with other tests, e.g., left ventricular ejection fraction or ventricular arrhythmias.
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“It can be only assessed with 24 h recordings (Kleiger et al., 2005).”
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 Kleiger et al., 2005
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“In addition, it is reliable in quantifying the risk of a variety of cardiac and non-cardiac disorders, such as stroke, myocardial infarction, ischaemic heart disease, and diabetes mellitus, and can also be used to assess the autonomic effects of drugs, including psychotropic agents20.”
From Autonomic nervous system dysfunction in schizophrenia: impact on cognitive and metabolic health (2021) · cites this paper as [20]
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“The root mean square of successive differences (RMSSD) reflects vagal tone (Thayer and Lane, 2000; Kleiger et al., 2005) and is highly correlated with high-frequency (HF) HRV (Kleiger et al., 2005).”
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 Kleiger et al., 2005
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“The root mean square of successive differences (RMSSD) reflects vagal tone (Thayer and Lane, 2000; Kleiger et al., 2005) and is highly correlated with high-frequency (HF) HRV (Kleiger et al., 2005).”
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 Kleiger et al., 2005
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Citations
Cites
Heart Rate Variability: Standards of Measurement, Physiological Interpretation, and Clinical Use
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Heart rate variability: Standards of measurement, physiological interpretation, and clinical use
Malik, M., Bigger, J. T., Camm, A. J., Kleiger, R. E., Malliani, A., Moss, A. J., & Schwartz, P. J. (1996) · European Heart Journal · doi:10.1093/oxfordjournals.eurheartj.a014868 · Cited by 15,289
Self-citationKleiger, 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-citationRovere, M. T. L., Bigger, J. T., Marcus, F. I., Mortara, A., & Schwartz, P. J. (1998) · The Lancet · doi:10.1016/s0140-6736(97)11144-8 · Cited by 3,120
Self-citationFrequency domain measures of heart period variability and mortality after myocardial infarction
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Self-citationThe Value of Cardiovascular Autonomic Function Tests: 10 Years Experience in Diabetes
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The heart and cardiovascular system
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Cited by
Sorted by citations
An overview of heart rate variability metrics and norms
Shaffer, F., & Ginsberg, J. P. (2017) · Frontiers in Public Health · doi:10.3389/fpubh.2017.00258 · Cited by 7,185
Laborde, S., Mosley, E., & Thayer, J. F. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00213 · Cited by 2,336
“The root mean square of successive differences (RMSSD) reflects vagal tone (Thayer and Lane, 2000; Kleiger et al., 2005) and is highly correlated with high-frequency (HF) HRV (Kleiger et al., 2005).”
BackgroundShaffer, F., McCraty, R., & Zerr, C. L. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.01040 · Cited by 1,866
Mccraty, R., & Shaffer, F. (2015) · Global Advances in Health and Medicine · doi:10.7453/gahmj.2014.073 · Cited by 1,039
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
Metadata
- Authors
- Kleiger, R. E., Stein, P. K., & Bigger, J. T.
- Affiliations
- Washington University in St. Louis (US)
- Columbia University (US)
- Corresponding author
- Bigger, J. Thomas
- ORCID
- Stein, Phyllis K.
- Venue
- Annals of Noninvasive Electrocardiology
- Publisher
- Wiley
- Published
- 2005-01
- Volume
- 10
- Issue
- 1
- Pages
- 88-101
- ISSN
- 1082-720X (ISSN-L)
- 1542-474X
- PMC
- PMC6932537
- OpenAlex
- W2082227074
- Cited by
- 1,290
- References
- 118
- Citations by year
- 2026: 50 · 2025: 80 · 2024: 100 · 2023: 104 · 2022: 85 · 2021: 99 · 2020: 82 · 2019: 75 · 2018: 56 · 2017: 60 · 2016: 63 · 2015: 53 · 2014: 61 · 2013: 49 · 2012: 60
- FWCI
- 4.56
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Annals of Noninvasive Electrocardiology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (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, RR interval variability, autonomic nervous system, baroreflex, autonomic function testing, 24-hour Holter monitoring, cardiovascular risk, arrhythmia risk, exercise testing
- MeSH terms
- Autonomic Nervous System, Cardiovascular Diseases, Electrocardiography, Heart Conduction System, Heart Rate, Humans, Time Factors
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