A careful look at ECG sampling frequency and R-peak interpolation on short-term measures of heart rate variability

Physiological Measurement

Volumn 36, Issue 9, 2015, Pages 1827-1852

  Ellis, Robert J ^a   Zhu, Bilei ^b   Koenig, Julian ^c   Thayer, Julian F ^c   Wang, Ye ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b FUDAN UNIVERSITY   (China)

^c OHIO STATE UNIVERSITY   (United States)

Author keywords

electrocardiogram sampling frequency; false positive rate; heart rate variability; Monte Carlo simulation; R peak interpolation

Indexed keywords

ELECTROCARDIOGRAPHY; FREQUENCY DOMAIN ANALYSIS; HEART; INTELLIGENT SYSTEMS; INTERPOLATION;

CONDITION; ELECTROCARDIOGRAM SAMPLING FREQUENCY; FALSE POSITIVE RATES; HEART RATE VARIABILITY; MONTE CARLO'S SIMULATION; R-PEAK DETECTION; R-PEAK INTERPOLATION; SAMPLING FREQUENCIES; TIME AND FREQUENCY DOMAINS; VARIABILITY MEASURES;

MONTE CARLO METHODS;

ADOLESCENT; ADULT; AGED; ELECTROCARDIOGRAPHY; HEART RATE; HUMAN; INFORMATION PROCESSING; INTERNET; LABORATORY DIAGNOSIS; MIDDLE AGED; MONTE CARLO METHOD; PHYSIOLOGY; PROCEDURES; SIGNAL PROCESSING; YOUNG ADULT;

ADOLESCENT; ADULT; AGED; DATASETS AS TOPIC; ELECTROCARDIOGRAPHY; FALSE POSITIVE REACTIONS; HEART RATE; HUMANS; INTERNET; MIDDLE AGED; MONTE CARLO METHOD; SIGNAL PROCESSING, COMPUTER-ASSISTED; YOUNG ADULT;

EID: 84939521695     PISSN: 09673334     EISSN: 13616579     Source Type: Journal    
DOI: 10.1088/0967-3334/36/9/1827     Document Type: Article

References (86)

1. Abboud S and Barnea O 1995 Errors due to sampling frequency of the electrocardiogram in spectral analysis of heart rate signals with low variability Comput. Cardiol. 461-3 (http://ieeexplore.ieee.org/xpls/abs-all.jsp?arnumber=482685)
2. Berger J O 2003 Could Fisher, Jeffreys and Neyman have agreed on testing? Stat. Sci. 18 1-32
3. Bergmann R, Ludbrook J and Spooren W P J M 2000 Different outcomes of the Wilcoxon-Mann-Whitney test from different statistics packages Am. Stat. 54 72-7
4. Berntson G G et al 1997 Heart rate variability: origins, methods, and interpretive caveats Psychophysiol. 34 623-48
5. Berntson G G, Quigley K S, Jang J F and Boysen S T 1990 An approach to artifact identification: application to heart period data Psychophysiol. 27 586-98
6. Bhatia V, Rarick K R and Stauss H M 2010 Effect of the data sampling rate on accuracy of indices for heart rate and blood pressure variability and baroreflex function in resting rats and mice Physiol. Meas. 31 1185
7. Bianchi A M, Mainardi L, Petrucci E and Signorini M G 1993 Time-variant power spectrum analysis for the detection of transient episodes in HRV signal IEEE Trans. Biomed. Eng. 40 136-44
8. Blair R C and Higgins J J 1980 The Power of t and wilcoxon statistics a comparison Eval. Rev. 4 645-56
9. Boulos M N, Wheeler S, Tavares C, Jones R et al 2011 How smartphones are changing the face of mobile and participatory healthcare: an overview, with exmple from eCAALYX Biomed. Eng. Online 10 24
10. Bousseljot R, Kreiseler D and Schnabel A 1995 Nutzung der EKG-Signaldatenbank CARDIODAT der PTB über das internet Biomed. Tech. Eng. 40 317-8
11. Bragge T, Tarvainen M P, Ranta-aho P O and Karjalainen P A 2005 High-resolution QRS fiducial point corrections in sparsely sampled ECG recordings Physiol. Meas. 26 743
12. Bravi A et al 2011 Review and classification of variability analysis techniques with clinical applications Biomed. Eng. Online 10 1-27
13. Brennan M, Palaniswami M and Kamen P 2001 Do existing measures of Poincare plot geometry reflect nonlinear features of heart rate variability? IEEE Trans. Biomed. Eng. 48 1342-7
14. Castiglioni P, Piccini L and Di Rienzo M 2003 Interpolation technique for extracting features from ECG signals sampled at low sampling rates Comput. Cardiol. 481-4 http://ieeexplore.ieee.org/xpls/abs-all.jsp?arnumber=1291197
15. Chalmers J A, Quintana D S, Abbott M J-A and Kemp A H 2014 Anxiety disorders are associated with reduced heart rate variability: a meta-analysis Affect Disord. Psychosom. Res. 5 80
16. Chellakumar P J, Brumfield A, Kunderu K and Schopper A W 2005 Heart rate variability: comparison among devices with different temporal resolutions Physiol. Meas. 26 979
17. Clifford G D 2003 rpeakdetect.m www.mit.edu/∼gari/CODE/ECGtools/ecgBag/rpeakdetect.m
18. Clifford G D and Tarassenko L 2005 Quantifying errors in spectral estimates of HRV due to beat replacement and resampling IEEE Trans. Biomed. Eng. 52 630-8
19. Cohen J 1992 A power primer Psychol. Bull. 112 155-9
20. Conover W J and Iman R L 1981 Rank transformations as a bridge between parametric and nonparametric statistics Am. Stat. 35 124-9
21. Cumming G 2012 Understanding the New Statistics: Effect Sizes, Confidence Intervals, and Meta-Analysis (New York: Routledge)
22. Daskalov I and Christov I 1997 Improvement of resolution in measurement of electrocardiogram RR intervals by interpolation Med. Eng. Phys. 19 375-9
23. Dekker J M, Crow R S, Folsom A R, Hannan P J, Liao D, Swenne C A and Schouten E G 2000 Low heart rate variability in a 2 min rhythm strip predicts risk of coronary heart disease and mortality from several causes: the ARIC Study Circulation 102 1239-44
24. Dieter W R, Datta S and Kai W K 2005 Power reduction by varying sampling rate Proc. of the 2005 Int. Symp. on Low power Electronics and Design (ACM) pp 227-32
25. Dinh H A N, Kumar D K, Pah N D and Burton P 2001 Wavelets for QRS detection Proc. of the IEEE 23rd Ann. Int. Conf. of the Engineering in Medicine and Biology Society pp 1883-7 http://ieeexplore.ieee.org/xpls/abs-all.jsp?arnumber=1020593
26. Ellis R J, Sollers J J III, Edelstein E A and Thayer J F 2008 Data transforms for spectral analyses of heart rate variability Biomed. Sci. Instrum. 44 392-7 (PMID: 19141947)
27. Fay M P and Proschan M A 2010 Wilcoxon-Mann-Whitney or t-test? On assumptions for hypothesis tests and multiple interpretations of decision rules Stat. Surv. 4 1-39
28. Free C, Phillips G, Watson L, Galli L, Felix L, Edwards P, Patel V and Haines A 2013 The effectiveness of mobile-health technologies to improve health care service delivery processes: a systematic review and meta-analysis PLos Med. 10 e1001363
29. Friesen G M, Jannett T C, Jadallah M A, Yates S L, Quint S R and Nagle H T 1990 A comparison of the noise sensitivity of nine QRS detection algorithms Biomed. Eng. IEEE Trans. 37 85-98
30. Garcia-Gonzalez M A, Fernández-Chimeno M and Ramos-Castro J 2004 Bias and uncertainty in heart rate variability spectral indices due to the finite ECG sampling frequency Physiol. Meas. 25 489-504
31. García-González M A, Fernandez-Chimeno M and Ramos-Castro J 2009 Errors in the estimation of approximate entropy and other recurrence-plot-derived indices due to the finite resolution of RR time series Biomed. Eng. IEEE Trans. 56 345-51
32. García-González M A, Ramos-Castro J and Fernández-Chimeno M 2011 The effect of electrocardiographic lead choice on RR time series Proc. of the 33rd Annual Int. Conf. IEEE Engineering in Medical and Biology Society pp 1933-6
33. Goldberger A, Amaral L, Glass L, Hausdorff J, Ivanov P, Mark R, Mietus J, Moody G, Peng C and Stanley H 2000 PhysioBank, PhysioToolkit, and PhysioNet - components of a new research resource for complex physiologic signals Circulation 101 E215-20
34. Hall M, Vasko R, Buysse D, Ombao H, Chen Q, Cashmere J D, Kupfer D and Thayer J F 2004 Acute stress affects heart rate variability during sleep Psychosom. Med. 66 56-62
35. Hart A 2001 Mann-Whitney test is not just a test of medians: differences in spread can be important BMJ 323 391-3
36. Hejjel L and Roth E 2004 What is the adequate sampling interval of the ECG signal for heart rate variability analysis in the time domain? Physiol. Meas. 25 1405-11
37. Hogue C W, Domitrovich P P, Stein P K, Despotis G D, Re L, Schuessler R B, Kleiger R E and Rottman J N 1998 RR interval dynamics before atrial fibrillation in patients after coronary artery bypass graft surgery Circulation 98 429-34
38. Huikuri H V, Mäkikallio T H and Perkiömäki J 2003 Measurement of heart rate variability by methods based on nonlinear dynamics J. Electrocardiol. 36 95-9
39. Ioannidis J P 2005 Why most published research findings are false PLoS Med. 2 e124
40. Jennings J R 1987 Editorial policy on analyses of variance with repeated measures Psychophysiol. 24 474-5
41. Kaufmann T, Sütterlin S, Schulz S M and Vögele C 2011 ARTiiFACT: a tool for heart rate artifact processing and heart rate variability analysis Behav. Res. Methods 43 1161-70
42. Kay M 2011 mHealth: New horizons for health through mobile technologies World Health Organ. http://www.who.int/entity/ehealth/mhealth-summit.pdf
43. Kemp A H, Quintana D S, Gray M A, Felmingham K L, Brown K and Gatt J M 2010 Impact of depression and antidepressant treatment on heart rate variability: a review and meta-analysis Biol. Psychiatry 67 1067-74
44. Kim K K, Kim J S, Lim Y G and Park K S 2009 The effect of missing RR-interval data on heart rate variability analysis in the frequency domain Physiol. Meas. 30 1039-50
45. Kim K K, Lim Y G, Kim J S and Park K S 2007 Effect of missing RR-interval data on heart rate variability analysis in the time domain Physiol. Meas. 28 1485-94
46. Kirk R E 1996 Practical significance: a concept whose time has come Educ. Psychol. Meas. 56 746-59
47. Kleiger R E, Stein P K and Bigger J T 2005 Heart rate variability: measurement and clinical utility Ann. Noninvasive Electrocardiol. 10 88-101
48. Kohler B-U, Hennig C and Orglmeister R 2002 The principles of software QRS detection IEEE Eng. Med. Biol. Mag. 21 42-57
49. Lehmann E L 1993 The Fisher, Neyman-Pearson theories of testing hypotheses: one theory or two? J. Am. Stat. Assoc. 88 1242-9
50. Lotufo P A, Valiengo L, Benseñor I M and Brunoni A R 2012 A systematic review and meta-analysis of heart rate variability in epilepsy and antiepileptic drugs Epilepsia 53 272-82
51. Maser R, Mitchell B, Vinik A and Freeman R 2003 The association between cardiovascular autonomic neuropathy and mortality in individuals with diabetes - A meta-analysis Diabetes Care 26 1895-901
52. McSharry P E and Clifford G D 2006 Models for ECG and RR interval processes Advanced Methods and Tools for ECG Data Analysis ed G D Clifford et al (Boston: Artech House) pp 101-33
53. McSharry P E, Clifford G D, Tarassenko L and Smith L A 2003 A dynamical model for generating synthetic electrocardiogram signals Biomed. Eng. IEEE Trans. On 50 289-94
54. Merri M, Farden D C, Mottley J G and Titlebaum E L 1990 Sampling frequency of the electrocardiogram for spectral analysis of the heart rate variability IEEE Trans. Biomed. Eng. 37 99-106
55. Mietus J E, Peng C K, Henry I, Goldsmith R L and Goldberger A L 2002 The pNNx files: re-examining a widely used heart rate variability measure Heart 88 378-80
56. Nunan D, Sandercock G R H and Brodie D A 2010 A quantitative systematic review of normal values for short-term heart rate variability in healthy adults Pacing Clin. Electrophysiol. PACE 33 1407-17
57. Pan J and Tompkins W J 1985 A real-time QRS detection algorithm IEEE Trans. Biomed. Eng. 32 230-6
58. Patel S, Park H, Bonato P, Chan L and Rodgers M 2012 A review of wearable sensors and systems with application in rehabilitation J. Neuroeng. Rehabil. 9 21
59. Pinna G D, Maestri R, Cesare A D and Colombo R 1994 The accuracy of power-spectrum analysis of heart-rate variability from annotated RR lists generated by Holter systems Physiol. Meas. 15 163-79
60. Rajendra Acharya U, Paul Joseph K, Kannathal N, Lim C M and Suri J S 2006 Heart rate variability: a review Med. Biol. Eng. Comput. 44 1031-51
61. Ramshur J 2014 HRVAS http://sourceforge.net/projects/hrvas/
62. Riniolo T and Porges S W 1997 Inferential and descriptive influences on measures of respiratory sinus arrhythmia: sampling rate, R-wave trigger accuracy, and variance estimates Psychophysiol. 34 613-21
63. Riniolo T C and Porges S W 2000 Evaluating group distributional characteristics: why psychophysiologists should be interested in qualitative departures from the normal distribution Psychophysiol. 37 21-8
64. Ruxton G D 2006 The unequal variance t-test is an underused alternative to Student's t-test and the Mann-Whitney U test Behav. Ecol. 17 688-90
65. Sandercock G R H, Bromley P D and Brodie D A 2005 The reliability of short-term measurements of heart rate variability Int. J. Cardiol. 103 238-47
66. Schroeder E B, Whitsel E A, Evans G W, Prineas R J, Chambless L E and Heiss G 2004 Repeatability of heart rate variability measures J. Electrocardiol. 37 163-72
67. Serlin R C 2000 Testing for robustness in Monte Carlo studies Psychol. Methods 5 230
68. Singh J P, Larson M G, Tsuji H, Evans J C, O'Donnell C J and Levy D 1998 Reduced heart rate variability and new-onset hypertension insights into pathogenesis of hypertension: the Framingham heart study Hypertension 32 293-7
69. Smith A-L, Owen H and Reynolds K J 2013a Heart rate variability indices for very short-term (30 beat) analysis. Part 1: survey and toolbox J. Clin. Monit. Comput. 27 569-76
70. Smith A-L, Owen H and Reynolds K J 2013b Heart rate variability indices for very short-term (30 beat) analysis. Part 2: validation J. Clin. Monit. Comput. 27 577-85
71. Tak L M, Riese H, de Bock G H, Manoharan A, Kok I C and Rosmalen J G 2009 As good as it gets? A meta-analysis and systematic review of methodological quality of heart rate variability studies in functional somatic disorders Biol. Psychol. 82 101-10
72. Tarkoma S, Siekkinen M, Lagerspetz E and Xiao Y 2014 Smartphone Energy Consumption: Modeling and Optimization (Cambridge: Cambridge University Press) ISBN: 978-1-107-04233-9
73. Tarvainen M P and Niskanen J-P 2012 Kubios HRV version 2.1 user's guide http://kubios.uef.fi/media/Kubios-HRV-2.1-Users-Guide.pdf
74. Tarvainen M P, Niskanen J-P, Lipponen J A, Ranta-Aho P O and Karjalainen P A 2009 Kubios HRV: a software for advanced heart rate variability analysis Proc. 4th European Conf. of the Int. Federation for Medical and Biological Engineering pp 1022-5
75. Tarvainen M P, Ranta-aho P O and Karjalainen P A 2002 An advanced detrending method with application to HRV analysis IEEE Trans. Biomed. Eng. 49 172-5
76. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology 1996a Heart rate variability: standards of measurement, physiological interpretation, and clinical use Circulation 93 1043-65
77. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology 1996b Heart rate variability: standards of measurement, physiological interpretation, and clinical use Eur. Heart J. 17 354-81 (http://eurheartj.oxfordjournals.org/content/17/3/354.long)
78. Thayer J F and Fischer J E 2009 Heart rate variability, overnight urinary norepinephrine and C-reactive protein: evidence for the cholinergic anti-inflammatory pathway in healthy human adults J. Intern. Med. 265 439-47
79. Thayer J F, Ahs F, Fredrikson M, Sollers J J III and Wager T D 2012 A meta-analysis of heart rate variability and neuroimaging studies: implications for heart rate variability as a marker of stress and health Neurosci. Biobehav. Rev. 36 747-56
80. Vanderlei L C M, Silva R A, Pastre C M, Azevedo F M and Godoy M F 2008 Comparison of the Polar S810i monitor and the ECG for the analysis of heart rate variability in the time and frequency domains Braz. J. Med. Biol. Res. 41 854-9
81. Vasey M W and Thayer J F 1987 The continuing problem of false positives in repeated measures ANOVA in psychophysiology: a multivariate solution Psychophysiol. 24 479-86
82. Vikman S, Mäkikallio T H, Yli-Mäyry S, Pikkujämsä S, Koivisto A-M, Reinikainen P, Airaksinen K J and Huikuri H V 1999 Altered complexity and correlation properties of RR interval dynamics before the spontaneous onset of paroxysmal atrial fibrillation Circulation 100 2079-84
83. Voss A, Schulz S, Schroeder R, Baumert M and Caminal P 2009 Methods derived from nonlinear dynamics for analysing heart rate variability Philos. Trans. R. Soc. Math. Phys. Eng. Sci. 367 277-96
84. Ward S, Shouldice R B, Flanagan M and Heneghan C 2004 Electrocardiogram sampling frequency errors in PR interval spectral analysis http://ee.ucd.ie/∼mark/papers/PGBIOMED.pdf
85. Wilkinson L 1999 Statistical methods in psychology journals: Guidelines and explanations Am. Psychol. 54 594
86. Ziemssen T, Gasch J and Ruediger H 2008 Influence of ECG sampling frequency on spectral analysis of rr intervals and baroreflex sensitivity using the EUROBAVAR data set J. Clin. Monit. Comput. 22 159-68