The Accuracy of Acquiring Heart Rate Variability from Portable Devices: A Systematic Review and Meta-Analysis
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Daniel J. Plews | Michael R. Esco | D. Plews | M. Esco | Hayley V. MacDonald | Ward C. Dobbs | Michael V. Fedewa | Clifton J. Holmes | Zackary S. Cicone
[1] Wolfgang Viechtbauer,et al. Conducting Meta-Analyses in R with the metafor Package , 2010 .
[2] J. Weir. Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM. , 2005, Journal of strength and conditioning research.
[3] R. Rosenthal. Meta-analytic procedures for social research , 1984 .
[4] Jacob Cohen,et al. A power primer. , 1992, Psychological bulletin.
[5] K. Häkkinen,et al. Effects of HRV-Guided vs. Predetermined Block Training on Performance, HRV and Serum Hormones , 2017, International Journal of Sports Medicine.
[6] J. Villacastín,et al. A novel device based on smart textile to control heart’s activity during exercise , 2014, Australasian Physical & Engineering Sciences in Medicine.
[7] D. Rennie,et al. Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative , 2003, Annals of Internal Medicine.
[8] J. Hox. Multilevel analysis: Techniques and applications, 2nd ed. , 2010 .
[9] A. Booth,et al. Literature searching for social science systematic reviews: consideration of a range of search techniques. , 2009, Health information and libraries journal.
[10] G. Breithardt,et al. 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. , 1996 .
[11] A. Kilding,et al. Evaluating training adaptation with heart-rate measures: a methodological comparison. , 2013, International journal of sports physiology and performance.
[12] P. Ekkekakis,et al. AFFECT-BASED EXERCISE PRESCRIPTION: An Idea Whose Time Has Come? , 2017 .
[13] A. Flatt,et al. Validity of the ithlete™ Smart Phone Application for Determining Ultra-Short-Term Heart Rate Variability , 2013, Journal of human kinetics.
[14] Timothy J. Robinson,et al. Multilevel Analysis: Techniques and Applications , 2002 .
[15] A. Deslandes,et al. Heart Rate Variability Indexes as a Marker of Chronic Adaptation in Athletes: A Systematic Review , 2015, Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc.
[16] S. Sammito,et al. [Options and limitations of heart rate measurement and analysis of heart rate variability by mobile devices: A systematic review]. , 2016, Herzschrittmachertherapie & Elektrophysiologie.
[17] J P Vandenbroucke,et al. Bias in meta-analysis detected by a simple, graphical test , 1998 .
[18] S. Thompson,et al. Quantifying heterogeneity in a meta‐analysis , 2002, Statistics in medicine.
[19] Robert J Volk,et al. Citation searches are more sensitive than keyword searches to identify studies using specific measurement instruments. , 2015, Journal of clinical epidemiology.
[20] H. Huikuri,et al. Time domain, geometrical and frequency domain analysis of cardiac vagal outflow: effects of various respiratory patterns. , 2001, Clinical physiology.
[21] I. Olkin,et al. Estimating time to conduct a meta-analysis from number of citations retrieved. , 1999, JAMA.
[22] David Moher,et al. Towards complete and accurate reporting of studies of diagnostic accuracy: The STARD Initiative. , 2003, Radiology.
[23] J. Sterne,et al. Systematic reviews of test accuracy should search a range of databases to identify primary studies. , 2008, Journal of clinical epidemiology.
[24] J. Vagedes,et al. How accurate is pulse rate variability as an estimate of heart rate variability? A review on studies comparing photoplethysmographic technology with an electrocardiogram. , 2013, International journal of cardiology.
[25] Eliete Bouskela,et al. Heart rate variability assessment with fingertip photoplethysmography and polar RS800cx as compared with electrocardiography in obese adolescents , 2015, Blood pressure monitoring.
[26] F. Nakamura,et al. Agreement Between a Smartphone Pulse Sensor Application and Electrocardiography for Determining lnRMSSD. , 2016, Journal of strength and conditioning research.
[27] D. Credeur,et al. Telemetry‐derived heart rate variability responses to a physical stressor , 2017, Clinical physiology and functional imaging.
[28] James A. J. Heathers,et al. Smartphone-enabled pulse rate variability: an alternative methodology for the collection of heart rate variability in psychophysiological research. , 2013, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[29] J. Thayer,et al. Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research – Recommendations for Experiment Planning, Data Analysis, and Data Reporting , 2017, Front. Psychol..
[30] M. Buchheit,et al. Improbable effect of carbohydrate diet on cardiac autonomic modulation during exercise , 2010, European Journal of Applied Physiology.
[31] G. Millet,et al. Monitoring Fatigue Status with HRV Measures in Elite Athletes: An Avenue Beyond RMSSD? , 2015, Front. Physiol..
[32] M Kingsley,et al. Comparison of Polar 810s and an ambulatory ECG system for RR interval measurement during progressive exercise. , 2005, International journal of sports medicine.
[33] Jaroslaw Piskorski,et al. Classic electrocardiogram-based and mobile technology derived approaches to heart rate variability are not equivalent. , 2018, International journal of cardiology.
[34] A. Mellor,et al. A comparison of two methods of heart rate variability assessment at high altitude , 2017, Clinical physiology and functional imaging.
[35] J. Zarocostas. Non-communicable diseases must have greater priority, says WHO , 2009, BMJ : British Medical Journal.
[36] D. Nunan,et al. Validity and reliability of short-term heart-rate variability from the Polar S810. , 2009, Medicine and science in sports and exercise.
[37] Andrew E. Kilding,et al. Training Adaptation and Heart Rate Variability in Elite Endurance Athletes: Opening the Door to Effective Monitoring , 2013, Sports Medicine.
[38] Lisa Board,et al. Validity of Telemetric-Derived Measures of Heart Rate Variability: A Systematic Review , 2016 .
[39] Comparing cardiac output monitors and defining agreement: A systematic review and meta-analysis , 2016, Journal of the Intensive Care Society.
[40] A. Flatt,et al. Heart Rate Variability and Training Load Among National Collegiate Athletic Association Division 1 College Football Players Throughout Spring Camp , 2017, Journal of strength and conditioning research.
[41] H. Nagaraja,et al. Heart rate variability: origins, methods, and interpretive caveats. , 1997, Psychophysiology.
[42] F. Nakamura,et al. Initial Weekly HRV Response is Related to the Prospective Change in VO2max in Female Soccer Players , 2016, International Journal of Sports Medicine.
[43] Walter R. Thompson. WORLDWIDE SURVEY OF FITNESS TRENDS FOR 2017 , 2016 .
[44] L. Porto,et al. Comparison of Time‐Domain Short‐Term Heart Interval Variability Analysis Using a Wrist‐Worn Heart Rate Monitor and the Conventional Electrocardiogram , 2009, Pacing and clinical electrophysiology : PACE.
[45] David Giles,et al. Validity of the Polar V800 heart rate monitor to measure RR intervals at rest , 2015, European Journal of Applied Physiology.
[46] D. Moher,et al. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement , 2009, BMJ : British Medical Journal.
[47] A. Malliani,et al. Heart rate variability. Standards of measurement, physiological interpretation, and clinical use , 1996 .
[48] M. Buchheit. Monitoring training status with HR measures: do all roads lead to Rome? , 2014, Front. Physiol..
[49] Judith D. Singer,et al. Using SAS PROC MIXED to Fit Multilevel Models, Hierarchical Models, and Individual Growth Models , 1998 .
[50] Johannes B Reitsma,et al. STARD 2015 guidelines for reporting diagnostic accuracy studies: explanation and elaboration , 2016, BMJ Open.
[51] David Moher,et al. Towards complete and accurate reporting of studies of diagnostic accuracy: The STARD Initiative. , 2003, Radiology.
[52] F. Gamelin,et al. Validity of the Polar S810 to Measure R-R Intervals in Children , 2007, International journal of sports medicine.
[53] A. Flatt,et al. Evaluating Individual Training Adaptation With Smartphone-Derived Heart Rate Variability in a Collegiate Female Soccer Team , 2016, Journal of strength and conditioning research.
[54] D. Altman,et al. Measuring inconsistency in meta-analyses , 2003, BMJ : British Medical Journal.
[55] Carmen Russoniello,et al. Heart Rate Variability and Biological Age: Implications for Health and Gaming , 2013, Cyberpsychology Behav. Soc. Netw..
[56] David Nunan,et al. Levels of agreement for RR intervals and short-term heart rate variability obtained from the Polar S810 and an alternative system , 2008, European Journal of Applied Physiology.
[57] Matthias Weippert,et al. Comparison of three mobile devices for measuring R–R intervals and heart rate variability: Polar S810i, Suunto t6 and an ambulatory ECG system , 2010, European Journal of Applied Physiology.
[58] Raquel Bailón,et al. Validation of Heart Rate Monitor Polar RS800 for Heart Rate Variability Analysis During Exercise , 2016, Journal of strength and conditioning research.
[59] F. Nakamura,et al. Interpreting daily heart rate variability changes in collegiate female soccer players. , 2016, The Journal of sports medicine and physical fitness.
[60] M. Rosenberg,et al. THE FILE‐DRAWER PROBLEM REVISITED: A GENERAL WEIGHTED METHOD FOR CALCULATING FAIL‐SAFE NUMBERS IN META‐ANALYSIS , 2005, Evolution; international journal of organic evolution.
[61] Barbara Canlon,et al. Possibilities and limitations of the polar RS800 in measuring heart rate variability at rest , 2011, European Journal of Applied Physiology.
[62] M. Altini,et al. Comparison of Heart-Rate-Variability Recording With Smartphone Photoplethysmography, Polar H7 Chest Strap, and Electrocardiography. , 2017, International journal of sports physiology and performance.
[63] F. Nakamura,et al. Intraday and Interday Reliability of Ultra-Short-Term Heart Rate Variability in Rugby Union Players , 2016, Journal of strength and conditioning research.
[64] Martin Radespiel-Tröger,et al. Agreement of two different methods for measurement of heart rate variability , 2003, Clinical Autonomic Research.
[65] Noor Azina Ismail,et al. Statistical Methods Used to Test for Agreement of Medical Instruments Measuring Continuous Variables in Method Comparison Studies: A Systematic Review , 2012, PloS one.
[66] D. Moher,et al. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement , 2009, BMJ.
[67] L. Hedges,et al. Statistical Methods for Meta-Analysis , 1987 .
[68] Martin Buchheit,et al. Day-to-Day Heart-Rate Variability Recordings in World-Champion Rowers: Appreciating Unique Athlete Characteristics. , 2017, International journal of sports physiology and performance.
[69] Walter R. Thompson,et al. WORLDWIDE SURVEY OF FITNESS TRENDS FOR 2018: The CREP Edition , 2017 .
[70] Jesse A Berlin,et al. Searching one or two databases was insufficient for meta-analysis of observational studies. , 2005, Journal of clinical epidemiology.
[71] C. M. Pastre,et al. Comparison of the Polar S810i monitor and the ECG for the analysis of heart rate variability in the time and frequency domains. , 2008, Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas.
[72] I. Böckelmann,et al. Möglichkeiten und Einschränkungen der Herzfrequenzmessung und der Analyse der Herzfrequenzvariabilität mittels mobiler Messgeräte , 2016, Herzschrittmachertherapie + Elektrophysiologie.
[73] C. Begg,et al. Publication bias : a problem in interpreting medical data , 1988 .
[74] C. M. Pastre,et al. Comparison of Polar® RS800G3™ heart rate monitor with Polar® S810i™ and electrocardiogram to obtain the series of RR intervals and analysis of heart rate variability at rest , 2016, Clinical physiology and functional imaging.
[75] A. Flatt,et al. Heart rate variability stabilization in athletes: towards more convenient data acquisition , 2016, Clinical physiology and functional imaging.
[76] J. Sterne,et al. Funnel plots for detecting bias in meta-analysis: guidelines on choice of axis. , 2001, Journal of clinical epidemiology.
[77] Marco Altini,et al. HRV4Training: Large-scale longitudinal training load analysis in unconstrained free-living settings using a smartphone application , 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[78] G. A. Marcoulides,et al. Multilevel Analysis Techniques and Applications , 2002 .
[79] Sophia H. Quraishi,et al. Guidelines for Reporting Articles on Psychiatry and Heart rate variability (GRAPH): recommendations to advance research communication , 2016, PloS one.
[80] Ki H. Chon,et al. Statistical analysis of heart rate and heart rate variability monitoring through the use of smart phone cameras , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[81] A. Flatt,et al. Ultra-short-term heart rate variability indexes at rest and post-exercise in athletes: evaluating the agreement with accepted recommendations. , 2014, Journal of sports science & medicine.
[82] J. Ioannidis,et al. Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials , 2011, BMJ : British Medical Journal.
[83] A W Schopper,et al. Heart rate variability: comparison among devices with different temporal resolutions. , 2005, Physiological measurement.
[84] F. Gamelin,et al. Validity of the polar S810 heart rate monitor to measure R-R intervals at rest. , 2006, Medicine and science in sports and exercise.