The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.
Heart rate variability: are you using it properly? Standardisation checklist of procedures
Open accessAbstract
Background Heart rate variability is used as an assessment method for cardiac autonomic modulation. Since the Task Force's publication on heart rate variability in 1996, the European Heart Rhythm Association Position Paper in 2015 and a recent publication in 2017, attention has been paid to recommendations on using heart rate variability analysis methods, as well as their applications in different physiological conditions and clinical studies. This analysis has proved to be useful as a complementary tool for clinical evaluation and to assess the effect of non-pharmacological therapeutic interventions, such as physical exercise programmes, on cardiac autonomic modulation.Objective The aim of this article is to make recommendations and to develop a checklist of normalisation procedures regarding the use of heart rate variability data collection and analysis methodology, focusing on the cardiology area and cardiac rehabilitation.Methods Based on previous heart rate variability publications, this paper provides a description of the most common shortcomings of using the analysis methods and considers recommendations and suggestions on how to minimise these occurrences by using a specific checklist.Conclusions This article includes recommendations and a checklist regarding the use of heart rate variability collection and analysis methods. This work could help improve reporting on clinical evaluation and therapeutic intervention results and consequently, disseminate heart rate variability knowledge.
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“Therefore, RMSSD is considered one of the best indicators of cardiac parasympathetic modulation, especially useful for post-exercise evaluation when this activity is crucial for recovery.”
From Impact of Caffeine Intake Strategies on Heart Rate Variability during Post-Exercise Recovery: A Systematic Review and Meta-Analysis (2024) · cites this paper as [32]
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“Unlike other indices like SDNN, which reflect both sympathetic and parasympathetic influences on the heart, RMSSD is more sensitive to changes in parasympathetic activity. This is because rapid fluctuations in RR intervals are predominantly mediated by the parasympathetic nervous system.”
From Impact of Caffeine Intake Strategies on Heart Rate Variability during Post-Exercise Recovery: A Systematic Review and Meta-Analysis (2024) · cites this paper as [32]
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“HF: The high-frequency component in HRV spectral analysis is closely related to respiratory variability (sinusoidal breathing) and is predominantly modulated by the parasympathetic nervous system.”
From Impact of Caffeine Intake Strategies on Heart Rate Variability during Post-Exercise Recovery: A Systematic Review and Meta-Analysis (2024) · cites this paper as [32]
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“While indices like LF (low frequency) can be influenced by both sympathetic and parasympathetic activity, HF is more specific to parasympathetic activity.”
From Impact of Caffeine Intake Strategies on Heart Rate Variability during Post-Exercise Recovery: A Systematic Review and Meta-Analysis (2024) · cites this paper as [32]
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Cites
Heart Rate Variability: Standards of Measurement, Physiological Interpretation, and Clinical Use
Electrophysiology, T. F. O. T. E. S. O. C. T. N. A. (1996) · Circulation · doi:10.1161/01.cir.93.5.1043 · Cited by 17,159
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
Physiological time-series analysis using approximate entropy and sample entropy
Richman, J. S., & Moorman, J. R. (2000) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.2000.278.6.h2039 · Cited by 7,880
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
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
Characterization of Strange Attractors
Grassberger, P., & Procaccia, I. (1983) · Physical Review Letters · doi:10.1103/physrevlett.50.346 · Cited by 4,897
Cardiovascular 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
Heart rate variability: A review
Rajendra Acharya, U., Paul Joseph, K., Kannathal, N., Lim, C. M., & Suri, J. S. (2006) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-006-0119-0 · Cited by 2,820
Multiscale entropy analysis of biological signals
Costa, M., Goldberger, A. L., & Peng, C.-K. (2005) · Physical Review E · doi:10.1103/physreve.71.021906 · Cited by 2,482
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Haekal, M., Khotimah, S. N., Suwandi, G. R. F., & Haryanto, F. (2026) · Physiological Measurement · doi:10.1088/1361-6579/ae99aa
Ferreira, Á. A., de Abreu, R. M., Roriz, P. I. L., Batista, J. D. S., Canuto, E. C. M., Sá, C. A., Silveira, M. S., da Silva, A. M. L., Magalhães, P., Dantas, F. M. D. N. A., et al. (2026) · Egyptian Journal of Bronchology · doi:10.1186/s43168-026-00656-7
Vasylenko, D., Scheit, L., Reck, C., Dengler, D., Harth, V., & Oldenburg, M. (2026) · Journal of Occupational Medicine and Toxicology · doi:10.1186/s12995-026-00526-4
Ceren, İ., & Açıkgöz, E. (2026) · Interdisciplinary Medical Journal · doi:10.17944/interdiscip.1883447
Analyzing Heart Rate Variability in Critical Illness: Contemporary and Emerging Methods
Bharadwaj, M. S., Krishnamoorthy, V. K., Miller, J. B., Vavilala, M., Hu, X., Dong, K., Laskowitz, D., Korley, F. K., Meurer, W. J., & Minić, Ž. (2026) · Anesthesiology · doi:10.1097/aln.0000000000006168
Heart rate variability responses to 26 GHz millimeter-wave exposure in healthy young adults
Michelant, L., Jamal, L., Blanchard, E. S., Baz, T., Nizerolle, B. L., Hugueville, L., Lévêque, P., & Selmaoui, B. (2026) · Electromagnetic Biology and Medicine · doi:10.1080/15368378.2026.2730027
Nischak, P., Lorusso, S., Diebold, T., Harel, O., Bossi, C. B., & Perren, S. (2026) · Early Education and Development · doi:10.1080/10409289.2026.2714533
Ye, T., Wang, J., Guo, X., Liu, X., Li, Y., & Wu, Q. (2026) · Frontiers in Endocrinology · doi:10.3389/fendo.2026.1951746
Tozzo, M. C., Reis, F. J. J., Meulders, A., de Souza, H. C. D., Chinellato, N. T., Veiga, A. C., & de Oliveira, A. S. (2026) · PLoS ONE · doi:10.1371/journal.pone.0350902
Galdino, G. A. M., Beltrame, T., Sant'anna, L. D. S., Santos, A. C., Rehder‐Santos, P., Signini, É. D. F., Fazan, R., Silva, L. E. V., Porta, A., & Catai, A. M. (2026) · Physiological Measurement · doi:10.1088/1361-6579/aeae9f
Self-citationTaylor-Whilde, E. M., & Luo, X. (2026) · Journal of Mechanics in Medicine and Biology · doi:10.1142/s0219519426401081
Sahputra, I., Angelina, D., & Ula, M. (2024) · MULTICA SCIENCE AND TECHNOLOGY (MST) · doi:10.47002/mst.v4i1.851
Santana, S. A. A., Arêas, F. Z. D. S., Santana, S. D. A., Ferreira, T. I. D. S., Duarte, M. P., SANTOS, F. S., de Oliveira, L. D., Goulart, C. D. L., Val, F. F. D. A. E., & Arêas, G. P. T. (2026) · Clinics · doi:10.1016/j.clinsp.2026.101141
Garg, A., Dutt, V., & Behera, L. (2026) · Acta Psychologica · doi:10.1016/j.actpsy.2026.107984
Araújo, J. D. A., Vasconcelos, P. V. F. E., de Paula, A. V. L., da Silva, B. A. K., & Cavalcante, A. C. D. M. (2026) · Acta Fisiátrica · doi:10.11606/issn.2317-0190.v33e234399
Metadata
- Authors
- Catai, A. M., Pastre, C. M., Godoy, M. F. D., Silva, E. D., Takahashi, A. C. D. M., & Vanderlei, L. C. M.
- Affiliations
- Universidade Federal de São Carlos (BR)
- Universidade Estadual Paulista (Unesp) (BR)
- Faculdade de Medicina de São José do Rio Preto (BR)
- Corresponding author
- Catai, Aparecida Maria
- Venue
- Brazilian Journal of Physical Therapy
- Publisher
- Elsevier BV
- Published
- 2020-03
- Volume
- 24
- Issue
- 2
- Pages
- 91-102
- ISSN
- 1413-3555 (ISSN-L)
- PMC
- PMC7082649
- OpenAlex
- W2917146357
- Cited by
- 423
- References
- 80
- Citations by year
- 2026: 54 · 2025: 77 · 2024: 80 · 2023: 80 · 2022: 65 · 2021: 44 · 2020: 19
- FWCI
- 5.98
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Brazilian Journal of Physical Therapy (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- UNESP Institutional Repository (São Paulo State University) (submittedVersion)
- Funders
- Conselho Nacional de Desenvolvimento CientÃfico e Tecnológico (3121938/2013-2)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Health and Mental Health
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Keywords
- heart rate variability, cardiac autonomic modulation, heart rate variability analysis, cardiac rehabilitation, physical activity, non-pharmacological treatment, reporting recommendations
- MeSH terms
- Autonomic Nervous System, Cardiology, Heart Rate, Humans, Exercise, Checklist
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