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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
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
“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
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
“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]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“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
The cited source says what the claim attributes to it.
In the citing paper
“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
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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
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
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-citationThe Value of Cardiovascular Autonomic Function Tests: 10 Years Experience in Diabetes
Ewing, D. J., Martyn, C., Young, R. J., & Clarke, B. F. (1985) · Diabetes Care · doi:10.2337/diacare.8.5.491 · Cited by 1,436
The heart and cardiovascular system
Fozzard, H. A., Haber, E., Jennings, R. B., & Katz, A. (1986) · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · Cited by 1,330
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
Cardiac electrophysiology and arrhythmias
Zipes, D. P., Jalife, J., & Moe, G. K. (1985) · Grune & Stratton eBooks · Cited by 944
Research works printed but not linked: 6
- Hull SS, 1990, Low sodium diet increases risk for sudden death in conscious dogs after myocardial infarction, Circulation, 82, III
- Kitney RI, 1982, Heart rate variability in the assessment of autonomic diabetic neuropathy, Automedica, 4, 155
- Magid NM, 1985, Diminished heart rate variability in sudden cardiac death. (abstract), Circulation, 72, III
- Schwartz PJ, 1987, Cardiac Arrhythmias Where Do We Go from Here?, 741
- Tibblin G, 1975, Heart rate and heart rate variability a risk factor for the development of ischaemic heart disease (IHD) in the men born in 1913 study—a ten years follow‐up. IRCS medical science: Cardiovascular system, Soc Occupational Med, 3, 95
- Ewing DJ, 1983, Autonomic Failure, 371
Cited by
Sorted by citations
Items 801–900 of 1,000
Rangsungnoen, S., Chanbenjapipu, P., Mathuradavong, N., & Suwanprasert, K. (2016) · Journal of Medical Engineering · doi:10.1155/2016/9823026 · Cited by 4
A 410-nW efficient QRS processor for mobile ECG monitoring in 0.18-μm CMOS
Li, P., Jiang, H., Yang, W., Liu, M., Zhang, X., Hu, X., Pang, B., Yao, Z., & Chen, H. (2016) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas.2016.7833713 · Cited by 4
Nardelli, M., Greco, A., Bolea, J., Valenza, G., Scilingo, E. P., & Bailón, R. (2017) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2017.8037322 · Cited by 4
Tang, I.-T., Hsu, N., Chou, P., & Chen, H. (2020) · Sleep Medicine · doi:10.1016/j.sleep.2020.03.026 · Cited by 4
Filho, M. D. S., Hainfellner, D. C., Lemos, N. M. D. O., Macambira, K. D. D. S., do Carmo, J. S., Alberigi, B., Athar, C. D. V. A., Mendes, A. F., da Veiga, C. C. P., Soares, A. M. B., et al. (2020) · DOAJ (DOAJ: Directory of Open Access Journals) · doi:10.29374/10.29374/2527-2179.bjvm104920 · Cited by 4
Hou, F., Xiao-Lin, H., Zhuang, J., Huo, C., & Xin-Bao, N. (2012) · Acta Physica Sinica · doi:10.7498/aps.61.220507 · Cited by 4
Shin, J.-W., Sunwoo, J., Byun, J., Kim, T., Jun, J., Kim, W. C., & Jung, K. (2021) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.9074 · Cited by 4
Child‐parent cardiac transference is decreased following disrupted/absent early care
Callaghan, B. L., Pini, N., Silvers, J. A., Tieghem, M. V., Choy, T., O’Sullivan, K., Fifer, W. P., & Tottenham, N. (2021) · Developmental Psychobiology · doi:10.1002/dev.22102 · Cited by 4
Buś, S., Jędrzejewski, K., & Guzik, P. (2021) · Signal Processing Symposium (SPSympo) · doi:10.1109/spsympo51155.2020.9593769 · Cited by 4
Mektrirat, R., Rueangsri, T., Keeratichandacha, W., Soonsawat, S., Boonyapakorn, C., & Pongkan, W. (2022) · Frontiers in Veterinary Science · doi:10.3389/fvets.2022.880952 · Cited by 4
Fatigue detection using decision tree method based on PPG signal
Zaeni, I. A. E., Wardhana, A. K., & Fanani, E. (2023) · JURNAL INFOTEL · doi:10.20895/infotel.v15i2.935 · Cited by 4
Zawadka‐Kunikowska, M., Rzepiński, Ł., Cieślicka, M., Fanslau, J., Klawe, J. J., & Tafil‐Klawe, M. (2023) · Advances in respiratory medicine · doi:10.3390/arm91060040 · Cited by 4
Zhang, Y., Xu, J., Xie, M., Zhu, D. K., Song, H. H., & Wang, W. (2023) · IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies · doi:10.1145/3580252.3586971 · Cited by 4
Muñoz, J. E., Gouveia, É. R., Cameirão, M. S., & Badia, S. B. I. (2017) · International Conference on Sport Sciences Research and Technology Support (icSPORTS) · doi:10.5220/0006601401450150 · Cited by 4
User Adaptive QRS Detection Based on One Target Clustering and Correlation Coefficient
Zhao, Y., Shang, Z., & Lian, Y. (2018) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas.2018.8584803 · Cited by 4
Lu, W.-A., Lin, J.-F., Wang, C., Chen, Y., Shieh, Y., & Kuo, C. (2021) · Journal of Healthcare Engineering · doi:10.1155/2021/6636829 · Cited by 4
Study of heart-rate variability in a video task using Holo-Hilbert spectral analysis
Lee, T.-M., Lee, P., Lee, I., Lee, W.-K., Wu, T.-Y., Hsu, H.-T., Yeh, C.-L., Lin, P.-J., & Shyu, K. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.103229 · Cited by 4
Comparação dos padrões da frequência cardíaca fetal no segundo e terceiro trimestres da gestação
Nomura, R. M. Y., Campos, C. F. C., Bessa, J. D. F., Miyadahira, S., & Zugaib, M. (2010) · Revista Brasileira Ginecologia e Obstetrícia · doi:10.1590/s0100-72032010000900002 · Cited by 4
Pal, P., Shanmugavel, K., Kamalanathan, C., Jayakrishnan, G., Parija, S., Pal, G., Syamsunder, A., & Sirisha, A. (2014) · International Journal of Clinical and Experimental Physiology · doi:10.4103/2348-8093.129726 · Cited by 6
Nocturnal Parasympathetic Modulation of Heart Rate in Obesity-Hypoventilation Patients
Brzecka, A., Pawelec-Winiarz, M., Teplicki, A., Piesiak, P., & Jankowska, R. (2014) · Advances in experimental medicine and biology · doi:10.1007/5584_2014_3 · Cited by 4
ACUTE EFFECTS OF ALCOHOL ON HEART RATE VARIABILITY: TIME-RELATED CHANGES AND GENDER DIFFERENCE
Shi, P. A., Chen, Y., Guo, M., & Yu, H. (2014) · Biomedical Engineering Applications Basis and Communications · doi:10.4015/s1016237214500483 · Cited by 4
Choi, Y., Chung, S.-Y., & Cho, S. (2018) · Journal of pharmacopuncture · doi:10.3831/kpi.2018.21.001 · Cited by 4
Chang, S. W., Chen, H., & Chou, P. (2018) · Neuropsychiatry · doi:10.4172/neuropsychiatry.1000416 · Cited by 4
On the classification of arrhythmia using supplementary features from Tetrolet transforms
Jayagopi, G., & Pushpa, S. (2019) · International Journal of Electrical and Computer Engineering (IJECE) · doi:10.11591/ijece.v9i6.pp5006-5015 · Cited by 4
Raccomandazioni sull’uso dei test cardiovascolari nella diagnosi di neuropatia autonomica diabetica
Spallone, Bax, G., Bellavere, F., Esposito, K., Melga, P., Morganti, R., Quadri, R., Scionti, L., Viviani, G. L., & Diabetica”, P. I. G. D. S. S. “. (2007) · Cited by 4
Perakakis, P. (2011) · Institutional Repository of the University of Granada (University of Granada) · Cited by 4
Lustig, A., Benady, A., Gilaie‐Dotan, S., & Plotnik, M. (2025) · Psychophysiology · doi:10.1111/psyp.70072 · Cited by 3
Keim, O. C., Raum, R. C., Feldmann, R. E., Kleinböhl, D., & Benrath, J. (2025) · Autonomic Neuroscience · doi:10.1016/j.autneu.2025.103367 · Cited by 3
The effect of COVID-19 infection on heart rate variability: A cross-sectional study
Huyut, M. A., Levent, F., Tütüncü, A., Özmen, G., Ormancı, D., & Vatansever, F. (2022) · International Journal of the Cardiovascular Academy · doi:10.4103/ijca.ijca_9_22 · Cited by 3
Makowiec, D., Wdowczyk, J., & Gruchała, M. (2023) · BioMedInformatics · doi:10.3390/biomedinformatics3010015 · Cited by 3
Krishnan, P., Rad, M. G., Agarwal, P., Marshall, C. E., Yang, P., Bhavani, S. V., Holder, A. L., Esper, A. M., & Kamaleswaran, R. (2023) · Physiological Measurement · doi:10.1088/1361-6579/acf5c7 · Cited by 3
Heart Rate Variability Indices of Student Pilots Undergo Modifications During Flight Training
Volsi, G. L., Monte, I. P., Aruta, A. V., Gulizzi, A., Libra, A., Mirulla, S., Panebianco, G., Patti, G., Quattrocchi, F., Bellantone, V., et al. (2023) · Aerospace Medicine and Human Performance · doi:10.3357/amhp.6305.2023 · Cited by 3
Emotion Detection Using Machine Learning, ECG Signals and Facial Features
Dua, A. (2024) · International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT) · doi:10.1109/idciot59759.2024.10467415 · Cited by 3
Chen, S., Pan, W., Gau, M., Hsu, T.-C., & Shen, S.-C. (2024) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-024-09656-z · Cited by 5
The role of heart rate variability in cardiac surgery: applications and innovations
Ashinze, P. T., Gaur, A., Banerjee, S., Olaniyan, O. M., Akande, E., Idris-Agbabiaka, A., Aboderin, C., Bonu, I. S., Adeniyi, S. A., Eriobuna, E., et al. (2025) · The Cardiothoracic Surgeon · doi:10.1186/s43057-025-00179-9 · Cited by 3
Differential Physiological Responses to Proxemic and Facial Threats in Virtual Avatar Interactions
Nierula, B., Lafci, M. T., Melnik, A., Akgül, M., Siewe, F. T., & Bosse, S. (2025) · IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) · doi:10.1109/ismar-adjunct68609.2025.00036 · Cited by 3
Variabilidad del ritmo cardiaco: ¿Por qué el caos puede ser saludable?
Cancino, J. (2011) · Pensar en Movimiento Revista de Ciencias del Ejercicio y la Salud · doi:10.15517/pensarmov.v9i1.389 · Cited by 4
Uğur, B., ODABAŞI, A. R., Yüksel, H., Şen, S., Oğurlu, M., & Tekten, T. (2007) · Journal of Laparoendoscopic & Advanced Surgical Techniques · doi:10.1089/lap.2006.05109 · Cited by 3
Kublanov, V., Dolganov, A. Y., & Gamboa, H. F. S. (2017) · International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON) · doi:10.1109/sibircon.2017.8109954 · Cited by 3
Martinelli, B., Lorenzo, V. A. P. D., Quitério, R. J., Ambrozin, A. R. P., Arca, E. A., & Jamami, M. (2018) · Physiotherapy Theory and Practice · doi:10.1080/09593985.2018.1430195 · Cited by 3
Shasha, S. U. N., Xiaobing, L. I., Baoshan, L. I., Liu, C.-Y., & Huang, M. (2018) · Acta Psychologica Sinica · doi:10.3724/sp.j.1041.2018.01413 · Cited by 3
Avaliação da Variabilidade da Frequência Cardíaca em Pacientes com Lesão Medular
Barbosa, J. L. R., & Belasco, D. (2001) · Revista Neurociências · doi:10.34024/rnc.2011.v19.8387 · Cited by 3
The Source of Heart Rhythm Changes Caused by Swallowing
Yıldız, M., & Doma, S. (2020) · Dysphagia · doi:10.1007/s00455-020-10150-x · Cited by 3
Xu, M., Jin, L., & Zhang, Z. (2020) · International Conference on Computer Communication and Network Security (CCNS) · doi:10.1109/ccns50731.2020.00015 · Cited by 3
Revand, R., & Singh, S. K. (2021) · Journal of Basic and Clinical Physiology and Pharmacology · doi:10.1515/jbcpp-2020-0361 · Cited by 3
Pessoa, M. D. V., de Araujo, F. X., Schell, M. S., da Silva, M. F., & Macagnan, F. E. (2021) · Journal of Bodywork and Movement Therapies · doi:10.1016/j.jbmt.2021.04.008 · Cited by 3
Mobile Evaluation of Heart Rate Variability using the Diver's Reflex
Seltzer, H., Pellman, M., Warchock, R., Billian, J., & Baker, R. (2021) · NeuroRegulation · doi:10.15540/nr.8.2.96 · Cited by 3
Melo, H. M., Nascimento, L. M., Alves, A. C. D. B., Walz, R., & Takase, E. (2021) · Physiology & Behavior · doi:10.1016/j.physbeh.2021.113591 · Cited by 3
Robust detection of CHF through new time–frequency features within HRV signals
Ahmed, I. H., & Djebbari, A. (2022) · Research on Biomedical Engineering · doi:10.1007/s42600-021-00193-w · Cited by 3
Wang, J., Xu, Z., Lv, K., Ye, Y., Luo, D., Wan, L., Zhou, F., Yu, A., Wang, S., Liu, J., et al. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.864008 · Cited by 3
Cardiorespiratory Fitness - New Topics
Sözen, H. (2022) · IntechOpen eBooks · doi:10.5772/intechopen.100928 · Cited by 3
Effect of Regular Exercise on Autonomic Nervous System Activity
Seravalle, G., & Grassi, G. M. (2022) · Updates in hypertension and cardiovascular protection · doi:10.1007/978-3-031-07958-0_3 · Cited by 3
KALP HIZI DEĞİŞKENLİĞİ VE EGZERSİZE KRONİK YANITLARI
Aras, D., Erdoğmuş, T. N., Ayvaz, Ö., & BİROL, A. (2022) · Ankara Üniversitesi Beden Eğitimi ve Spor Yüksekokulu SPORMETRE Beden Eğitimi ve Spor Bilimleri Dergisi · doi:10.33689/spormetre.1129126 · Cited by 3
A novel method based on shifted rank-1 reconstruction for removing EMG artifacts in ECG signals
Chen, X., Zheng, S., Peng, L., Zhong, Q., & Liu, H. (2023) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2023.104967 · Cited by 3
Baisan, R. A., Turcu, C. A., Condurachi, E. I., & Vulpe, V. (2023) · Veterinary Quarterly · doi:10.1080/01652176.2023.2212737 · Cited by 3
Metaverse ve Endüstri 4.0’ın Sporcu Beslenmesi ile Fiziksel Aktiviteye Etkisi
Dertli, Ş., & Dertli, M. E. (2023) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub223.c961 · Cited by 3
Pan, S., Bruun, D. A., Lein, P. J., & Chen, C.-Y. (2024) · Archives of Toxicology · doi:10.1007/s00204-023-03679-x · Cited by 3
A GAN-Based Approach for ECG Reconstruction from Doppler Sensor Signals
Bouazizi, M., Yu, D., Feghoul, K., & Ohtsuki, T. O. (2023) · Globecom · doi:10.1109/globecom54140.2023.10437922 · Cited by 3
Solanki, J. D., Hirani, C. N., Vohra, A. S., Panjwani, S. J., Senta, V. M., & Rudani, D. K. (2024) · PubMed Central · doi:10.60787/nmj-64-3-204 · Cited by 4
Brinda, A. K., Goudman, L., Moens, M., Hincapie, J., Dinsmoor, D. A., Litvak, L. M., & Straka, M. (2024) · Frontiers in Physiology · doi:10.3389/fphys.2024.1342983 · Cited by 3
Mylakumar, M. N., Geethanjali, B., Jagannath, M., AnanthaNarayanan, R., Murugappan, M., & Chowdhury, M. E. H. (2024) · IEEE Access · doi:10.1109/access.2024.3464129 · Cited by 3
Phenotypic Characterisation of Obstructive Sleep Apnoea in Acute Coronary Syndrome
Tong, B., Ucak, S., Dissanayake, H. U., Patel, S. A., Stewart, G. M., Sutherland, K., Yee, B. J., Allahwala, U. K., Bhindi, R., de Chazal, P., et al. (2024) · Heart Lung and Circulation · doi:10.1016/j.hlc.2024.07.014 · Cited by 4
Rahawi, A. H., He, F., Fang, J., Calhoun, S. L., Vgontzas, A. N., Liao, D., Bixler, E. O., Younes, M. K., Ricci, A., & Fernández‐Mendoza, J. (2025) · SLEEP · doi:10.1093/sleep/zsaf018 · Cited by 3
Kim, Y., Carver, C. S., Tsai, T. C., Ting, A., & Spiegel, D. (2025) · Annals of Behavioral Medicine · doi:10.1093/abm/kaaf005 · Cited by 3
Павлович, С. А. (2017) · Человек и его здоровье · doi:10.21626/vestnik/2017-3/19 · Cited by 10
Cardiovascular health effects of fine and ultrafine particles during freeway travel
Hinds, W. C. (2010) · Cited by 3
Roncato, G., da Fontoura, F. F., Spilimbergo, F. B., Meyer, G. M. B., Watte, G., Vargas, W., Casali, K. R., Berton, D. C., & Rigatto, K. (2021) · Respiratory Physiology & Neurobiology · doi:10.1016/j.resp.2021.103620 · Cited by 3
Espinoza-Salinas, A., Zafra-Santos, E., Martens, G. P. V., Cofré-Bolados, C., Lemus-Zúñiga, J., & Sánchez-Aguilera, P. (2015) · Revista médica de Chile · doi:10.4067/s0034-98872015000900005 · Cited by 3
Imaging Left Ventricular Muscarinic Receptor Heterogeneity
Caldwell, J. H., & Link, J. M. (2009) · Circulation Cardiovascular Imaging · doi:10.1161/circimaging.109.900621 · Cited by 3
de, Y., Ortega, S., González, J. M. M., Ruiz, D. R., Quiroga, M. E., & Manso, J. M. G. (2009) · Redalyc (Universidad Autónoma del Estado de México) · Cited by 3
Beasley, V. E., & Dowse, H. B. (2016) · Journal of Experimental Zoology Part A Ecological Genetics and Physiology · doi:10.1002/jez.2057 · Cited by 3
Thurman, R. H., Yoon, E. W., Murphy, K. E., Windrim, R. C., & Farrugia, M. M. (2017) · Journal of Obstetrics and Gynaecology Canada · doi:10.1016/j.jogc.2017.05.009 · Cited by 3
Variabilita srdeční frekvence v tréninkovém procesu: historie, současnost a perspektiva
Botek, M., Krejčí, J., & McKune, A. J. (2017) · doi:10.5507/ftk.16.24452029 · Cited by 3
Kumar, M., Singh, D., & Deepak, K. K. (2020) · Biomedical Engineering Applications Basis and Communications · doi:10.4015/s1016237220500143 · Cited by 3
Acute effect of different trainings in the variability of the heart rate of young football players
Arabacı, R., Pehlivan, E., & Görgülü, R. (2020) · Educación Física y Deporte · doi:10.17533/udea.efyd.v39n2a02 · Cited by 3
Buś, S., Jędrzejewski, K., Krauze, T., & Guzik, P. (2020) · doi:10.23919/spw49079.2020.9259140 · Cited by 3
Paniccia, M., Taha, T., Keightley, M., Thomas, S. G., Verweel, L., Murphy, J., Wilson, K., & Reed, N. (2018) · Journal of Visualized Experiments · doi:10.3791/58203-v · Cited by 3
Peng, H., Oikawa, S., Inai, Y., Maeda, S., & Akama, T. (2022) · Respiratory Physiology & Neurobiology · doi:10.1016/j.resp.2022.103918 · Cited by 3
Lu, W.-A., Kuo, J., Wang, Y., Lien, T., Liu, Y., Tsai, J., & Kuo, C. (2016) · Physiological Reports · doi:10.14814/phy2.12763 · Cited by 3
Comment on ‘Abnormal autonomic cardiac response to transient hypoxia in sickle cell anemia’
Connes, P., & Barthélemy, J. (2008) · Physiological Measurement · doi:10.1088/0967-3334/29/9/l01 · Cited by 3
Service Dogs for Veterans with PTSD: Taxonomy, Work Stress Reduction, and Matching
Parenti, L. (2019) · The Research Repository @ WVU (West Virginia University) · doi:10.33915/etd.3853 · Cited by 4
Heart rate variability in normal-weight patients with polycystic ovary syndrome
Perini, R. (2017) · The Anatolian Journal of Cardiology · doi:10.14744/anatoljcardiol.2017.24541 · Cited by 3
Exploration of the health status of experienced New Brunswick paramedics
Tremblay, M., Albert, W. J., Fischer, S. L., Beairsto, E., & Johnson, M. J. (2020) · Work · doi:10.3233/wor-203185 · Cited by 7
Azevedo, E. D. L. (2024) · Studies in Rhythm Engineering · doi:10.1007/978-981-97-0232-9_1 · Cited by 2
Pluščiauskaitė, V., Sološenko, A., Jančiulevičiūtė, K., Marozas, V., Sörnmo, L., & Petrėnas, A. (2024) · Physiological Measurement · doi:10.1088/1361-6579/ad79b3 · Cited by 2
Baus, T. L., Ackermann, S., & Laborde, S. (2025) · Sports · doi:10.3390/sports13030064 · Cited by 2
Garner, A. R., Fanno, J. D., McGrath, R. P., Erickson, J., & Hackney, K. J. (2025) · Frontiers in Sports and Active Living · doi:10.3389/fspor.2025.1515412 · Cited by 2
Kšela, J., Kafol, J., Avbelj, V., & Kališnik, J. M. (2025) · Medicina · doi:10.3390/medicina61060984 · Cited by 2
Costa, M. D., Redline, S. S., Bansal, N., Heckbert, S. R., & Goldberger, A. L. (2025) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00091.2025 · Cited by 2
Krummenacher, M., Ghosh, M., Turner, M. C., & Canu, I. G. (2025) · Environmental Health and Preventive Medicine · doi:10.1265/ehpm.25-00259 · Cited by 2
Hayashi, R., Hasegawa, M., Hatanaka, A., Mandour, A. S., Hirose, M., Shimada, K., Hamabe, L., Takahashi, K., & Tanaka, R. (2025) · Animals · doi:10.3390/ani15233449 · Cited by 2
Li, Z., Chen, S., Rietzschel, E. R., Kozusznik, M. W., Hoecke, S. V., Vanderhasselt, M., & Pulopulos, M. M. (2025) · Applied Psychology Health and Well-Being · doi:10.1111/aphw.70107 · Cited by 2
Lykov, Y. A., Александровна, К. А., Marchenkova, L., Korolev, Y. N., Rozhkova, E. A., & Zubareva, N. N. (2026) · Bulletin of Rehabilitation Medicine · doi:10.38025/2078-1962-2026-25-2-63-76 · Cited by 2
Toward Automatic and Remote Monitoring of the Pain Experience: An Internet of Things (IoT) Approach
Rodríguez, J. J. R., García, J. F. C., & Prada, E. J. A. (2020) · Communications in computer and information science · doi:10.1007/978-3-030-42520-3_16 · Cited by 2
Mena, A. D. R., Varón, L. A. B., Valencia, R. M., & Prada, E. J. A. (2020) · Communications in computer and information science · doi:10.1007/978-3-030-42517-3_13 · Cited by 2
Salatini, R., do Amaral, J. A. T., Raimundo, R. D., Rocha, F., de Abreu, L. C., Morais, M. J. D. D., Tannuri, U., & Tannuri, A. C. A. (2022) · Translational Pediatrics · doi:10.21037/tp-21-273 · Cited by 2
Satou, T., Kawata, A., Hasegawa, A., Matsushita, N., & Inoue, T. (2022) · Natural Product Communications · doi:10.1177/1934578x221109419 · Cited by 2
Analysis of Heart Rate Variability in Patients Undergoing Mechanical Ventilation
Yarımoğlu, R., Kaymak, Ç., Ozcan, N. N., Murat, S. N., Başar, H., Özcan, A., Kurtul, A., & KOTANOĞLU, M. S. (2022) · Türk yoğun bakım derneği dergisi/Türk yoğun bakım dergisi · doi:10.4274/tybd.galenos.2022.95914 · Cited by 2
Heart rate variability in student pilots during the flight training: a preliminary report
Volsi, G. L., Monte, I. P., Aruta, A. V., Gulizzi, A., Libra, A., Mirulla, S., Panebianco, G., Patti, G., Quattrocchi, F., Bellantone, V., et al. (2022) · Bullettin of the Gioenia Academy of Natural Sciences of Catania · doi:10.35352/gioenia.v55i385.103 · Cited by 2
Matthews, R., Early, K. S., Vincellette, C., Losso, J. N., Spielmann, G., Irving, B. A., & Allerton, T. D. (2023) · Nutrients · doi:10.3390/nu15040810 · Cited by 2
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
