GHRV: Heart rate variability analysis made easy

Computer Methods and Programs in Biomedicine

Volumn 116, Issue 1, 2014, Pages 26-38

  Rodriguez Linares L ^a   Lado, M J ^a   Vila, X A ^a   Mendez A J ^a   Cuesta, P ^a  

^a UNIVERSITY OF VIGO   (Spain)

Author keywords

Heart rate variability; Open source; Signal processing

Indexed keywords

GRAPHICAL USER INTERFACES; SIGNAL PROCESSING;

CLINICAL ANALYSIS; CONTINUOUS DEVELOPMENT; DIFFERENT STAGES; HEART RATE VARIABILITY; HEART RATE VARIABILITY ANALYSIS; LEVEL OF SATISFACTION; OPEN SOURCES; STATISTICAL SIGNIFICANCE;

HEART;

ARTICLE; COMPUTER INTERFACE; COMPUTER PROGRAM; HEART RATE VARIABILITY; SATISFACTION; SLEEP; VALIDATION STUDY; ALGORITHM; ANIMAL; ARRHYTHMIAS, CARDIAC; COMPUTER ASSISTED DIAGNOSIS; COMPUTER LANGUAGE; ELECTROCARDIOGRAPHY; HEART RATE; HUMAN; INTERNET; PATHOPHYSIOLOGY; PHYSIOLOGY; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ANIMALS; ARRHYTHMIAS, CARDIAC; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROCARDIOGRAPHY; HEART RATE; HUMANS; INTERNET; PROGRAMMING LANGUAGES; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SOFTWARE; SOFTWARE DESIGN; USER-COMPUTER INTERFACE;

EID: 84901842386     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2014.04.007     Document Type: Article

References (53)

1. American Heart Association Statistics Committee and Stroke Statistics Subcommittee AHA statistical update heart disease and stroke statistics - 2013 update: a report from the American Heart Association. Circulation 2013, 127:e6-e245.
2. Oweis R., Hijazi L. A computer-aided ECG diagnostic tool. Comput. Methods Prog. Biomed. 2006, 81(3):279-284.
3. Zimmerman T., Syeda-Mahmood T. Automatic detection of heart disease from twelve channel electrocardiogram waveforms. IEEE Comput. Cardiol. 2007, 809-812.
4. Lado M.J., Méndez A.J., Rodríguez-Liñares L., Otero A., Vila X.A. Nocturnal evolution of heart rate variability indices in sleep apnea. Comput. Biol. Med. 2012, 42(12):1179-1185.
5. Cnockaert L., Migeotte P.F., Daubigny L., Prisk G.K., Grenez F., Sá R.C. A method for the analysis of respiratory sinus arrhythmia using continuous wavelet transforms. IEEE Trans. Biomed. Eng. 2008, 55(5):1640-1642.
6. Amaral J.L., Lopes A.J., Jansen J.M., Faria A.C., Melo P.L. An improved method of early diagnosis of smoking-induced respiratory changes using machine learning algorithms. Comput. Methods Prog. Biomed. 2013, 112(3):441-454.
7. Askelrod S. Components of heart rate variability: basic studies. Heart Rate Variability 1995, 147-163. Futura Publishing Company. M. Malik, A.J. Camm (Eds.).
8. Tripathi K. Very low frequency oscillations in the power spectra of heart rate variability during dry supine immersion and exposure to non-hypoxic hypobaria. Physiol. Meas. 2011, 32(6):717-729.
9. Melkonian D., Korner A., Meares R., Bahramali H. Increasing sensitivity in the measurement of heart rate variability: the method of non-stationary RR time-frequency analysis. Comput. Methods Prog. Biomed. 2012, 108(1):53-67.
10. Bigger J.T., Fleiss J.L., Steinman R.C., Rolnitzky L.M., Kleiger R.E., Rottman J.N. Frequency domain measures of heart period variability and mortality after myocardial infarction. Circulation 1992, 85(1):164-171.
11. Vinik A.I., Ziegler D. Diabetic cardiovascular autonomic neuropathy. Circulation 2007, 115(3):387-397.
12. Penzel T., Kantelhardt J.W., Grote L., Peter J.H., Bunde A. Comparison of detrended fluctuation analysis and spectral analysis for heart rate variability in sleep and sleep apnea. IEEE Trans. Biomed. Eng. 2003, 50(10):1143-1151.
13. Camm A.J., Malik M., Bigger J.T., Breithardt G., Cerutti S., Coehn R.J., Coumel P., Fallen E.L., Kennedy H.L., Kleiger R.E., Lombardi F., Malliani A., Moss A.J., Rottman J.N., Schmidt G., Schwartz P.J., Singer D.H. 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. Circulation 1996, 93(5):1043-1065.
14. Sands K., Appel M.L., Lilly L.S., Schoen F.J., Mudge G., Cohen R.J. Power spectrum analysis of heart rate variability in human cardiac transplant recipients. Circulation 1989, 79(1):76-82.
15. Inoue K., Miyake S., Kumashiro M., Ogata H., Yoshimura O. Power spectral analysis of heart rate variability in traumatic quadriplegic humans. Am. J. Physiol. Heart Circ. Physiol. 1990, 258(6):H1722-H1726.
16. Achten J., Jeukendrup A. Heart rate monitoring: applications and limitations. Sports Med. 2003, 33(7):517-538.
17. Acharya U.R., Faust O., Sree V., Swapna G., Martis R.J., Kadri N.A., Suri J.S. Linear and nonlinear analysis of normal and CAD-affected heart rate signals. Comput. Methods Prog. Biomed. 2014, 113(1):55-68.
18. Stein P.K., Reddy A. Non-linear heart rate variability and risk stratification in cardiovascular disease. Indian Pacing Electrophysiol. J. 2005, 5(3):210-220.
19. Pincus S.M. Approximate entropy in cardiology. Jerzschrittmacherther. Elektrophysiol. 2000, 11(3):139-150.
20. Kaplan D.T., Furman M.I., Pincus S.M., Ryan S.M., Lipsitz L.A., Goldberger A.L. Aging and the complexity of cardiovascular dynamics. Biophys. J. 1991, 59(4):945-949.
21. Heitmann A., Huebner T., Schroeder R., Perz S., Voss A. Ability of heart rate variability as screening tool for heart diseases in men. IEEE Computers in Cardiology 2009, 825-828.
22. Haney M.F., Wiklund U. Can heart rate variability become a screening tool for anesthesia-related hypotension. Acta Anaesthesiol. Scand. 2007, 51(10):1289-1291.
23. Roche F., Gaspoz J.M., Court-Fortune I., Minini P., Pichot V., Duverney D., Costes F., Lacour J.R., Barthélémy J.C. Screening of obstructive sleep apnea syndrome by heart rate variability analysis. Circulation 1999, 100(13):1411-1415.
24. Malik M., Camm A.J. Heart Rate Variability 1995, Futura Publishing Company, Armonk, New York.
25. aHRV. HRV analysis software. http://www.nevrokard.eu/maini/hrv.html.
26. N. Instruments, Using LabVIEW for heart rate variability analysis, published on-line: (2012). http://www.ni.com/example/30832/en/.
27. Tarvainen M.P., Niskanen J.-P., Lipponen J.A., Ranta-Aho P.O., Karjalainen P.A. Kubios HRV-heart rate variability analysis software. Comput. Methods Prog. Biomed. 2014, 113(1):210-220.
28. Kudryński K., Strumiłło P., Ruta J. Computer Software tool for heart rate variability (HRV), T-wave alternans (TWA) and heart rate turbulence (HRT) analysis from ECGs. Med. Sci. Monit. Int. Med. J. Exp. Clin. Res. 2011, 17(9):MT63-MT71.
29. Kaufmann T., Sütterlin S., Schulz S.M., Vögele C. ARTiiFACT: a tool for heart rate artifact processing and heart rate variability analysis. Behav. Res. Methods 2011, 43(4):1161-1170.
30. HRVAS. HRV Analysis Software. http://hrvas.sourceforge.net.
31. Perakakis P., Joffily M., Taylor M., Guerra P., Vila J. KARDIA: A Matlab software for the analysis of cardiac interbeat intervals. Comput. Methods Prog. Biomed. 2010, 98(1):83-89.
32. J. E. Mietus, A. L. Goldberger, Heart rate variability analysis with the HRV Toolkit. http://physionet.org/tutorials/hrv-toolkit.
33. The WFDB Software Package. http://www.physionet.org/physiotools/wfdb.shtml.
34. PhysioBank. http://www.physionet.org/physiobank.
35. D. Kaplan, P. Staffin, Software for heart rate bariability. http://www.macalester.edu/kaplan/hrv/doc.
36. The R. project for statistical computing. http://www.r-project.org.
37. Rodríguez-Li nares L., Méndez A.J., Lado M.J., Olivieri D.N., Vila X.A., Gómez-Conde I. An open source tool for heart rate variability spectral analysis. Comput. Methods Prog. Biomed. 2011, 103(1):39-50.
38. Rodríguez-Liñares L., Méndez A.J., Vila X.A., Lado M.J. gHRV: a user friendly application for HRV analysis. Proceedings of the 7th Iberian Conference in information Systems and Technologies, IEEE 2012, 1-5.
39. Vila J., Palacios F., Presedo J., Fernández-Delgado M., Felix P., Barro S. Time-frequency analysis of heart-rate variability. Eng. Med. Biol. Mag. 1997, 16(5):119-126.
40. Kaplan D., Furman M., Pincus S. Techniques for analyzing complexity in heart rate and beat-to-beat blood pressure signals. IEEE Computers in Cardiology 1990, 243-246.
41. Pincus S.M., Goldberger A.L. Physiological time-series analysis: what does regularity quantify?. Am. J. Physiol. Heart Circ. Physiol. 1994, 266(4):1643-1656.
42. Justel A., Peña D., Zamar R. A multivariate Kolmogorov-Smirnov test of goodness of fit. Stat. Probab. Lett. 1997, 35(3):251-259.
43. Ebrahimi F., Setarehdan S.-K., Ayala-Moyeda J., Nazeran H. Automatic sleep staging using empirical mode decomposition, discrete wavelet transform, time-domain, and nonlinear dynamics features of heart rate variability signals. Comput. Methods Prog. Biomed. 2013, 112(1):47-57.
44. Ichimaru Y., Moody G. Development of the polysomnographic database on CD-ROM. Psychiatry Clin. Neurosci. 1999, 53(2):175-177.
45. Goldberger A.L., Amaral L.A., Glass L., Hausdorff J.M., Ivanov P.C., Mark R.G., Mietus J.E., Moody G.B., Peng C.K., Stanley H.E. PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals. Circulation 2000, 101(23):e215-e220.
46. MIT-BIH polysomnographic database. http://physionet.org/physiobank/database/slpdb.
47. Rechtschaffen A., Kales A. A Manual of Standardized Terminology, Techniques and Scoring System for Sleep Stages of Human Subjects 1968, US Government Printing Office, US Public Health Service, Washington, DC.
48. Drinnan M., Allen J., Langley P., Murray A. Detection of sleep apnoea from frequency analysis of heart rate variability. IEEE Computers in Cardiology 2000, 259-262.
49. Pincus S.M. Approximate entropy as a measure of system complexity. Proc. Natl. Acad. Sci. 1991, 88(6):2297-2301.
50. Bouvier D., Chen T.Y., Lewandowski G., McCartney R., Sanders K., VanDeGrift T. User interface evaluation by novices. Proceedings of the 17th ACM Annual Conference on Innovation and Technology in Computer Science Education 2012, 327-332.
51. Holzinger A. Usability engineering methods for software developers. CACM 2005, 48(1):71-74.
52. G. Perlman, User interface usability evaluation with web-based questionnaires. http://hcibib.org/perlman/question.html.
53. Lewis J.R. IBM computer usability satisfaction questionnaires: psychometric evaluation and instructions for use. Int. J. Hum. Comput. Interact. 1995, 7(1):57-78.