{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T11:55:24Z","timestamp":1777550124772,"version":"3.51.4"},"reference-count":74,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2022,3,5]],"date-time":"2022-03-05T00:00:00Z","timestamp":1646438400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The value of heart rate variability (HRV) in the fields of health, disease, and exercise science has been established through numerous investigations. The typical mobile-based HRV device simply records interbeat intervals, without differentiation between noise or arrythmia as can be done with an electrocardiogram (ECG). The intent of this report is to validate a new single channel ECG device, the Movesense Medical sensor, against a conventional 12 channel ECG. A heterogeneous group of 21 participants performed an incremental cycling ramp to failure with measurements of HRV, before (PRE), during (EX), and after (POST). Results showed excellent correlations between devices for linear indexes with Pearson\u2019s r between 0.98 to 1.0 for meanRR, SDNN, RMSSD, and 0.95 to 0.97 for the non-linear index DFA a1 during PRE, EX, and POST. There was no significant difference in device specific meanRR during PRE and POST. Bland\u2013Altman analysis showed high agreement between devices (PRE and POST: meanRR bias of 0.0 and 0.4 ms, LOA of 1.9 to \u22121.8 ms and 2.3 to \u22121.5; EX: meanRR bias of 11.2 to 6.0 ms; LOA of 29.8 to \u22127.4 ms during low intensity exercise and 8.5 to 3.5 ms during high intensity exercise). The Movesense Medical device can be used in lieu of a reference ECG for the calculation of HRV with the potential to differentiate noise from atrial fibrillation and represents a significant advance in both a HR and HRV recording device in a chest belt form factor for lab-based or remote field-application.<\/jats:p>","DOI":"10.3390\/s22052032","type":"journal-article","created":{"date-parts":[[2022,3,6]],"date-time":"2022-03-06T20:40:02Z","timestamp":1646599202000},"page":"2032","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":36,"title":["The Movesense Medical Sensor Chest Belt Device as Single Channel ECG for RR Interval Detection and HRV Analysis during Resting State and Incremental Exercise: A Cross-Sectional Validation Study"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8458-4709","authenticated-orcid":false,"given":"Bruce","family":"Rogers","sequence":"first","affiliation":[{"name":"Department of Internal Medicine, College of Medicine, University of Central Florida, Orlando, FL 32827, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8330-8817","authenticated-orcid":false,"given":"Marcelle","family":"Schaffarczyk","sequence":"additional","affiliation":[{"name":"Department Sports and Exercise Medicine, Institute of Human Movement Science, University of Hamburg, 20148 Hamburg, Germany"}]},{"given":"Martina","family":"Clau\u00df","sequence":"additional","affiliation":[{"name":"Institute of Movement and Trainings Science in Sport, Faculty of Sport Science, Leipzig University, 04109 Leipzig, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9486-3090","authenticated-orcid":false,"given":"Laurent","family":"Mourot","sequence":"additional","affiliation":[{"name":"EA3920 Pronostic Factors and Regulatory Factors of Cardiac and Vascular Pathologies, Exercise Performance Health Innovation (EPHI) Plaptform, University of Bourgogne Franche-Comt\u00e9, 25000 Besan\u00e7on, France"},{"name":"Division for Physical Education, National Research Tomsk Polytechnic University, 634040 Tomsk, Russia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5610-6013","authenticated-orcid":false,"given":"Thomas","family":"Gronwald","sequence":"additional","affiliation":[{"name":"Institute of Interdisciplinary Exercise Science and Sports Medicine, MSH Medical School Hamburg, 20457 Hamburg, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2022,3,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1341","DOI":"10.1093\/europace\/euv015","article-title":"Advances in heart rate variability signal analysis: Joint position statement by the e-Cardiology ESC Working Group and the European Heart Rhythm Association co-endorsed by the Asia Pacific Heart Rhythm Society","volume":"17","author":"Sassi","year":"2015","journal-title":"Europace"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"301","DOI":"10.3389\/fphys.2017.00301","article-title":"Cardiac Autonomic Responses during Exercise and Post-exercise Recovery Using Heart Rate Variability and Systolic Time Intervals\u2014A Review","volume":"8","author":"Michael","year":"2017","journal-title":"Front. Physiol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"582145","DOI":"10.3389\/fnins.2020.582145","article-title":"The Role of Heart Rate Variability in the Future of Remote Digital Biomarkers","volume":"14","author":"Owens","year":"2020","journal-title":"Front. Neurosci."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"258","DOI":"10.3389\/fpubh.2017.00258","article-title":"An Overview of Heart Rate Variability Metrics and Norms","volume":"5","author":"Shaffer","year":"2017","journal-title":"Front. Public Health"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1040","DOI":"10.3389\/fpsyg.2014.01040","article-title":"A healthy heart is not a metronome: An integrative review of the heart\u2019s anatomy and heart rate variability","volume":"5","author":"Shaffer","year":"2014","journal-title":"Front. Psychol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"13","DOI":"10.5298\/1081-5937-41.1.05","article-title":"Heart Rate Variability Anatomy and Physiology","volume":"41","author":"Shaffer","year":"2013","journal-title":"Biofeedback"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"102750","DOI":"10.1016\/j.ctim.2021.102750","article-title":"Heart rate variability biofeedback in chronic disease management: A systematic review","volume":"60","author":"Chouchou","year":"2021","journal-title":"Complement. Ther. Med."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"710","DOI":"10.3389\/fnins.2019.00710","article-title":"Heart Rate Variability and Cognitive Function: A Systematic Review","volume":"13","author":"Forte","year":"2019","journal-title":"Front. Neurosci."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"686129","DOI":"10.3389\/fphys.2021.686129","article-title":"Can Reactivity of Heart Rate Variability Be a Potential Biomarker and Monitoring Tool to Promote Healthy Aging? A Systematic Review with Meta-Analyses","volume":"29","author":"Manser","year":"2021","journal-title":"Front. Physiol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1016\/j.neubiorev.2017.09.006","article-title":"From psychological moments to mortality: A multidisciplinary synthesis on heart rate variability spanning the continuum of time","volume":"83","author":"Kemp","year":"2017","journal-title":"Neurosci. Biobehav. Rev."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"235","DOI":"10.30773\/pi.2017.08.17","article-title":"Stress and Heart Rate Variability: A Meta-Analysis and Review of the Literature","volume":"15","author":"Kim","year":"2018","journal-title":"Psychiatry Investig."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1937","DOI":"10.1017\/S003329172000207X","article-title":"Autonomic dysfunction in posttraumatic stress disorder indexed by heart rate variability: A meta-analysis","volume":"50","author":"Schneider","year":"2020","journal-title":"Psychol. Med."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1002\/j.1532-2149.2013.00379.x","article-title":"Heart rate variability and experimentally induced pain in healthy adults: A systematic review","volume":"18","author":"Koenig","year":"2014","journal-title":"Eur. J. Pain"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1177\/0333102415583989","article-title":"Vagally mediated heart rate variability in headache patients\u2014A systematic review and meta-analysis","volume":"36","author":"Koenig","year":"2016","journal-title":"Cephalalgia"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1038\/s41746-020-00363-7","article-title":"Assessment of physiological signs associated with COVID-19 measured using wearable devices","volume":"3","author":"Natarajan","year":"2020","journal-title":"NPJ Digit. Med."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"612782","DOI":"10.3389\/fspor.2021.612782","article-title":"Utilizing Heart Rate Variability for Coaching Athletes During and after Viral Infection: A Case Report in an Elite Endurance Athlete","volume":"3","author":"Hottenrott","year":"2021","journal-title":"Front. Sports Act. Living"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"623","DOI":"10.3389\/fphys.2018.00623","article-title":"Heart Rate Variability as a Prognostic Factor for Cancer Survival\u2014A Systematic Review","volume":"9","author":"Kloter","year":"2018","journal-title":"Front. Physiol."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"73","DOI":"10.3389\/fphys.2014.00073","article-title":"Monitoring training status with HR measures: Do all roads lead to Rome?","volume":"5","author":"Buchheit","year":"2014","journal-title":"Front. Physiol."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"240","DOI":"10.3389\/fpubh.2017.00240","article-title":"Heart-Rate Variability\u2014More than Heart Beats?","volume":"5","author":"Ernst","year":"2017","journal-title":"Front. Public Health"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Jelinek, H.F., Cornforth, D.J., and Khandoker, A.H. (2017). Heart Rate Variability Analysis in Exercise Physiology. ECG Time Series Analysis: Engineering to Medicine, CRC Press.","DOI":"10.4324\/9781315372921"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"2291","DOI":"10.1111\/sms.13802","article-title":"Predefined vs data-guided training prescription based on autonomic nervous system variation: A systematic review","volume":"30","author":"Zinner","year":"2020","journal-title":"Scand. J. Med. Sci. Sports"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1016\/0002-9149(87)90795-8","article-title":"Decreased heart rate variability and its association with increased mortality after acute myocardial infarction","volume":"59","author":"Kleiger","year":"1987","journal-title":"Am. J. Cardiol."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"88","DOI":"10.3389\/fphys.2011.00088","article-title":"New Methods for the Analysis of Heartbeat Behavior in Risk Stratification","volume":"2","author":"Glass","year":"2011","journal-title":"Front. Physiol."},{"key":"ref_24","first-page":"81","article-title":"Heart rate variability and non-linear dynamics in risk stratification","volume":"2","year":"2011","journal-title":"Front. Physiol."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1007\/s10877-012-9424-3","article-title":"Influence of age and gender on autonomic regulation of heart","volume":"27","author":"Abhishekh","year":"2013","journal-title":"Int. J. Clin. Monit. Comput."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"458","DOI":"10.3389\/fnins.2018.00458","article-title":"Vagal Tank Theory: The Three Rs of Cardiac Vagal Control Functioning\u2014Resting, Reactivity, and Recovery","volume":"12","author":"Laborde","year":"2018","journal-title":"Front. Neurosci."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Altini, M., and Plews, D. (2021). What Is behind Changes in Resting Heart Rate and Heart Rate Variability? A Large-Scale Analysis of Longitudinal Measurements Acquired in Free-Living. Sensors, 21.","DOI":"10.3390\/s21237932"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"773","DOI":"10.1007\/s40279-013-0071-8","article-title":"Training Adaptation and Heart Rate Variability in Elite Endurance Athletes: Opening the Door to Effective Monitoring","volume":"43","author":"Plews","year":"2013","journal-title":"Sports Med."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1461","DOI":"10.1007\/s40279-016-0484-2","article-title":"Monitoring Athletic Training Status Through Autonomic Heart Rate Regulation: A Systematic Review and Meta-Analysis","volume":"46","author":"Bellenger","year":"2016","journal-title":"Sports Med."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1186\/s11556-021-00278-6","article-title":"Effects of different exercise interventions on heart rate variability and cardiovascular health factors in older adults: A systematic review","volume":"18","author":"Thielmann","year":"2021","journal-title":"Eur. Rev. Aging Phys. Act."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"657274","DOI":"10.3389\/fphys.2021.657274","article-title":"Effects of Different Training Interventions on Heart Rate Variability and Cardiovascular Health and Risk Factors in Young and Middle-Aged Adults: A Systematic Review","volume":"12","author":"Thielmann","year":"2021","journal-title":"Front. Physiol."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"550572","DOI":"10.3389\/fphys.2020.550572","article-title":"Fractal Correlation Properties of Heart Rate Variability: A New Biomarker for Intensity Distribution in Endurance Exercise and Training Prescription?","volume":"11","author":"Gronwald","year":"2020","journal-title":"Front. Physiol."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"265","DOI":"10.3389\/fpubh.2017.00265","article-title":"Hidden Signals\u2014The History and Methods of Heart Rate Variability","volume":"5","author":"Ernst","year":"2017","journal-title":"Front. Public Health"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1043","DOI":"10.1161\/01.CIR.93.5.1043","article-title":"Heart rate variability: Standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology","volume":"93","author":"Force","year":"1996","journal-title":"Circulation"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"767","DOI":"10.1136\/bjsports-2020-103148","article-title":"Recommendations for determining the validity of consumer wearable heart rate devices: Expert statement and checklist of the INTERLIVE Network","volume":"55","author":"Stang","year":"2021","journal-title":"Br. J. Sports Med."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1007\/s40279-019-01061-5","article-title":"The Accuracy of Acquiring Heart Rate Variability from Portable Devices: A Systematic Review and Meta-Analysis","volume":"49","author":"Dobbs","year":"2019","journal-title":"Sports Med."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1016\/S0735-1097(00)01054-8","article-title":"Age-predicted maximal heart rate revisited","volume":"37","author":"Tanaka","year":"2001","journal-title":"J. Am. Coll. Cardiol."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1016\/j.cmpb.2013.07.024","article-title":"Kubios HRV\u2013Heart rate variability analysis software","volume":"113","author":"Tarvainen","year":"2014","journal-title":"Comput. Methods Programs Biomed."},{"key":"ref_39","first-page":"3786","article-title":"Effect of Different ECG Leads on Estimated R-R Intervals and Heart Rate Variability Parameters","volume":"Volume 2019","author":"Jeyhani","year":"2019","journal-title":"Proceedings of the 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1080\/03091902.2019.1640306","article-title":"A robust algorithm for heart rate variability time series artefact correction using novel beat classification","volume":"43","author":"Lipponen","year":"2019","journal-title":"J. Med Eng. Technol."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"H451","DOI":"10.1152\/ajpheart.00008.2006","article-title":"Cardiac parasympathetic regulation: Respective associations with cardiorespiratory fitness and training load","volume":"291","author":"Buchheit","year":"2006","journal-title":"Am. J. Physiol. Circ. Physiol."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"1153","DOI":"10.1007\/s00421-009-1317-x","article-title":"Monitoring endurance running performance using cardiac parasympathetic function","volume":"108","author":"Buchheit","year":"2009","journal-title":"Eur. J. Appl. Physiol."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"2466","DOI":"10.1073\/pnas.012579499","article-title":"Fractal dynamics in physiology: Alterations with disease and aging","volume":"99","author":"Goldberger","year":"2002","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1063\/1.166141","article-title":"Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series","volume":"5","author":"Peng","year":"1995","journal-title":"Chaos"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"R1078","DOI":"10.1152\/ajpregu.1996.271.4.R1078","article-title":"Age-related alterations in the fractal scaling of cardiac interbeat interval dynamics","volume":"271","author":"Iyengar","year":"1996","journal-title":"Am. J. Physiol. Integr. Comp. Physiol."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1806","DOI":"10.1001\/jama.1992.03480130122036","article-title":"Loss of \u2019complexity\u2019 and aging. Potential applications of fractals and chaos theory to senescence","volume":"267","author":"Lipsitz","year":"1992","journal-title":"JAMA"},{"key":"ref_47","first-page":"1223","article-title":"Clinical impact of evaluation of cardiovascular control by novel methods of heart rate dynamics","volume":"367","author":"Huikuri","year":"2009","journal-title":"Philos. Trans. R. Soc. London. Ser. A Math. Phys. Eng. Sci."},{"key":"ref_48","first-page":"277","article-title":"Methods derived from nonlinear dynamics for analysing heart rate variability","volume":"367","author":"Voss","year":"2008","journal-title":"Philos. Trans. R. Soc. London. Ser. A Math. Phys. Eng. Sci."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"621","DOI":"10.1111\/j.1540-8159.2012.03335.x","article-title":"The Prognostic Value of Heart Rate Variability in the Elderly, Changing the Perspective: From Sympathovagal Balance to Chaos Theory","volume":"35","author":"Nicolini","year":"2012","journal-title":"Pacing Clin. Electrophysiol."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"072101","DOI":"10.1063\/1.5038818","article-title":"Fractal analysis of heart rate variability as a predictor of mortality: A systematic review and meta-analysis","volume":"28","author":"Sen","year":"2018","journal-title":"Chaos Interdiscip. J. Nonlinear Sci."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"e12697","DOI":"10.1111\/anec.12697","article-title":"Correlation properties of heart rate variability during endurance exercise: A systematic review","volume":"25","author":"Gronwald","year":"2020","journal-title":"Ann. Noninvasive Electrocardiol."},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Rogers, B., Giles, D., Draper, N., Mourot, L., and Gronwald, T. (2021). Detection of the Anaerobic Threshold in Endurance Sports: Validation of a New Method Using Correlation Properties of Heart Rate Variability. J. Funct. Morphol. Kinesiol., 6.","DOI":"10.3390\/jfmk6020038"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"1806","DOI":"10.3389\/fphys.2020.596567","article-title":"A New Detection Method Defining the Aerobic Threshold for Endurance Exercise and Training Prescription Based on Fractal Correlation Properties of Heart Rate Variability","volume":"11","author":"Rogers","year":"2021","journal-title":"Front. Physiol."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"041107","DOI":"10.1103\/PhysRevE.65.041107","article-title":"Effect of nonstationarities on detrended fluctuation analysis","volume":"65","author":"Chen","year":"2002","journal-title":"Phys. Rev. E"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"229","DOI":"10.5298\/1081-5937-44.3.09","article-title":"The Promise of Ultra-Short-Term (UST) Heart Rate Variability Measurements","volume":"44","author":"Shaffer","year":"2016","journal-title":"Biofeedback"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"594880","DOI":"10.3389\/fnins.2020.594880","article-title":"A Critical Review of Ultra-Short-Term Heart Rate Variability Norms Research","volume":"14","author":"Shaffer","year":"2020","journal-title":"Front. Neurosci."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1177\/096228029900800204","article-title":"Measuring agreement in method comparison studies","volume":"8","author":"Bland","year":"1999","journal-title":"Stat. Methods Med. Res."},{"key":"ref_58","first-page":"614","article-title":"Biostatistics 104: Correlational analysis","volume":"44","author":"Chan","year":"2003","journal-title":"Singap. Med. J."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1080\/00221309.1994.9921213","article-title":"ANote on the Influence of Outliers on Parametric and Nonparametric Tests","volume":"121","author":"Zimmerman","year":"1994","journal-title":"J. Gen. Psychol."},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Jiang, X., Guo, X., Zhang, N., Wang, B., and Zhang, B. (2018). Robust multivariate nonparametric tests for detection of two-sample location shift in clinical trials. PLoS ONE, 13.","DOI":"10.1371\/journal.pone.0195894"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1111\/j.1440-1681.2009.05288.x","article-title":"Confidence in Altman-Bland plots: A critical review of the method of differences","volume":"37","author":"Ludbrook","year":"2010","journal-title":"Clin. Exp. Pharmacol. Physiol."},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Gerke, O. (2020). Reporting Standards for a Bland\u2013Altman Agreement Analysis: A Review of Methodological Reviews. Diagnostics, 10.","DOI":"10.3390\/diagnostics10050334"},{"key":"ref_63","unstructured":"Cooper, H., Hedges, L.V., and Valentine, J.C. (2009). Effect sizes for continuous data. The Handbook of Research Synthesis and Meta Analysis, Russell Sage Foundation."},{"key":"ref_64","unstructured":"Cohen, J. (1988). Statistical Power Analysis for the Behavioural Sciences, Erlbaum."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"1525","DOI":"10.1007\/s00421-019-04142-5","article-title":"RR interval signal quality of a heart rate monitor and an ECG Holter at rest and during exercise","volume":"119","author":"Schweizer","year":"2019","journal-title":"Eur. J. Appl. Physiol."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1051\/sm\/2019006","article-title":"Effects of R-R time series accuracy on heart rate variability indexes","volume":"106","author":"Cassirame","year":"2019","journal-title":"Mov. Sport Sci."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"779","DOI":"10.1007\/s00421-010-1415-9","article-title":"Comparison of three mobile devices for measuring R\u2013R intervals and heart rate variability: Polar S810i, Suunto t6 and an ambulatory ECG system","volume":"109","author":"Weippert","year":"2010","journal-title":"Eur. J. Appl. Physiol."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"1852","DOI":"10.1016\/j.amjcard.2015.09.025","article-title":"Frequent Atrial Premature Complexes and Their Association with Risk of Atrial Fibrillation","volume":"116","author":"Acharya","year":"2015","journal-title":"Am. J. Cardiol."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"H1051","DOI":"10.1152\/ajpheart.00509.2020","article-title":"The counterintuitive role of exercise in the prevention and cause of atrial fibrillation","volume":"319","author":"Buckley","year":"2020","journal-title":"Am. J. Physiol. Circ. Physiol."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"198","DOI":"10.4258\/hir.2018.24.3.198","article-title":"Electrocardiogram Sampling Frequency Range Acceptable for Heart Rate Variability Analysis","volume":"24","author":"Kwon","year":"2018","journal-title":"Healthc. Inform. Res."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"1900611","DOI":"10.1109\/JTEHM.2017.2767603","article-title":"Spectro-Temporal Electrocardiogram Analysis for Noise-Robust Heart Rate and Heart Rate Variability Measurement","volume":"5","author":"Tobon","year":"2017","journal-title":"IEEE J. Transl. Eng. Health Med."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1002\/clc.20709","article-title":"Fragmented QRS Complex: A Novel Marker of Cardiovascular Disease","volume":"33","author":"Chatterjee","year":"2010","journal-title":"Clin. Cardiol."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1136\/bjsports-2012-092068","article-title":"Normal electrocardiographic findings: Recognizing physiological adaptations in athletes","volume":"47","author":"Drezner","year":"2013","journal-title":"Br. J. Sports Med."},{"key":"ref_74","doi-asserted-by":"crossref","unstructured":"Hern\u00e1ndez-Vicente, A., Hernando, D., Mar\u00edn-Puyalto, J., Vicente-Rodr\u00edguez, G., Garatachea, N., Pueyo, E., and Bail\u00f3n, R. (2021). Validity of the Polar H7 Heart Rate Sensor for Heart Rate Variability Analysis during Exercise in Different Age, Body Composition and Fitness Level Groups. Sensors, 21.","DOI":"10.3390\/s21030902"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/5\/2032\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T22:32:30Z","timestamp":1760135550000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/5\/2032"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,5]]},"references-count":74,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2022,3]]}},"alternative-id":["s22052032"],"URL":"https:\/\/doi.org\/10.3390\/s22052032","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3,5]]}}}