CoRRection – an open source software tool for RR intervals processing

1 Task Force of the European Society of Cardiology the North American Society of Pacing Electrophysiology. Heart Rate Variability: Standards of Measurement, Physiological Interpretation, and Clinical Use. Circulation. 1996;93(5):1043-1065. https://doi.org/10.1161/01.CIR.93.5.1043 Search in Google Scholar

2 Billman GE. Heart Rate Variability ? A Historical Perspective. Front Physiol. 2011;2. https://doi.org/10.3389/fphys.2011.00086 Search in Google Scholar

3 Tarvainen MP, Niskanen JP, Lipponen JA, Ranta-aho PO, Karjalainen PA. Kubios HRV – Heart rate variability analysis software. Comput Methods Programs Biomed. 2014;113(1):210-220. https://doi.org/10.1016/j.cmpb.2013.07.024 Search in Google Scholar

4 Rasmussen JH, Rosenberger K, Langbein J. EasieRR: An open-source software for noninvasive heart rate variability assessment. Codling E, ed. Methods Ecol Evol. 2020;11(6):773-782. https://doi.org/10.1111/2041-210X.13393 Search in Google Scholar

5 Kaufmann T, Sütterlin S, Schulz SM, Vögele C. ARTiiFACT: a tool for heart rate artifact processing and heart rate variability analysis. Behav Res Methods. 2011;43(4):1161-1170. https://doi.org/10.3758/s13428-011-0107-7 Search in Google Scholar

6 Klein J. Improving the reproducibility of findings by updating research methodology. Qual Quant. 2022;56(3):1597-1609. https://doi.org/10.1007/s11135-021-01196-6 Search in Google Scholar

7 Giles DA, Draper N. Heart Rate Variability During Exercise: A Comparison of Artefact Correction Methods. J Strength Cond Res. 2018;32(3):726-735. https://doi.org/10.1519/JSC.0000000000001800 Search in Google Scholar

8 Martinez P, Grinand M, Cheggour S, Taieb J, Gourjon G. How to properly evaluate cardiac vagal tone in oncology studies: a state-of-the-art review. J Natl Cancer Cent. 2024;4(1):36-46. https://doi.org/10.1016/j.jncc.2024.02.002 Search in Google Scholar

9 Lipponen JA, Tarvainen MP. A robust algorithm for heart rate variability time series artefact correction using novel beat classification. J Med Eng Technol. 2019;43(3):173-181. https://doi.org/10.1080/03091902.2019.1640306 Search in Google Scholar

10 Jarosław Piskorski, Przemysław Guzik. Filtering Poincaré plots. https://doi.org/10.12921/CMST.2005.11.01.39-48 Search in Google Scholar

11 Rincon Soler AI, Silva LEV, Fazan R, Murta LO. The impact of artifact correction methods of RR series on heart rate variability parameters. J Appl Physiol. 2018;124(3):646-652. https://doi.org/10.1152/japplphysiol.00927.2016 Search in Google Scholar

12 Silva LEV, Fazan R, Marin-Neto JA. PyBioS: A freeware computer software for analysis of cardiovascular signals. Comput Methods Programs Biomed. 2020;197:105718. https://doi.org/10.1016/j.cmpb.2020.105718 Search in Google Scholar

13 Peltola MA. Role of editing of R–R intervals in the analysis of heart rate variability. Front Physiol. 2012;3. https://doi.org/10.3389/fphys.2012.00148 Search in Google Scholar

14 Magagnin V, Bassani T, Bari V, et al. Non-stationarities significantly distort short-term spectral, symbolic and entropy heart rate variability indices. Physiol Meas. 2011;32(11):1775-1786. https://doi.org/10.1088/0967-3334/32/11/S05 Search in Google Scholar

15 Li K, Rüdiger H, Ziemssen T. Spectral Analysis of Heart Rate Variability: Time Window Matters. Front Neurol. 2019;10:545. https://doi.org/10.3389/fneur.2019.00545 Search in Google Scholar

16 Josef Perktold, Skipper Seabold, Kevin Sheppard, et al. statsmodels/statsmodels: Release 0.14.2. Published online April 17, 2024. https://doi.org/10.5281/ZENODO.593847 Search in Google Scholar

17 Prabhakaran S. Augmented Dickey-Fuller (ADF) Test - Must Read Guide - ML+. Machine Learning Plus. November 2, 2019. Accessed September 15, 2024. https://www.machinelearningplus.com/time-series/augmented-dickey-fuller-test/ Search in Google Scholar

18 Berntson GG, Quigley KS, Jang JF, Boysen ST. An Approach to Artifact Identification: Application to Heart Period Data. Psychophysiology. 1990;27(5):586-598. https://doi.org/10.1111/j.1469-8986.1990.tb01982.x Search in Google Scholar

19 Christie IC, Gianaros PJ. PhysioScripts: An extensible, open source platform for the processing of physiological data. Behav Res Methods. 2013;45(1):125-131. https://doi.org/10.3758/s13428-012-0233-x Search in Google Scholar

20 Jovic A, Bogunovic N. HRVFrame: Java-Based Framework for Feature Extraction from Cardiac Rhythm. In: Peleg M, Lavrač N, Combi C, eds. Artificial Intelligence in Medicine. Vol 6747. Lecture Notes in Computer Science. Springer Berlin Heidelberg; 2011:96-100. https://doi.org/10.1007/978-3-642-22218-4_13 Search in Google Scholar

21 Rodríguez-Liñares L, Lado MJ, Vila XA, Méndez AJ, Cuesta P. gHRV: Heart rate variability analysis made easy. Comput Methods Programs Biomed. 2014;116(1):26-38. https://doi.org/10.1016/j.cmpb.2014.04.007 Search in Google Scholar

22 Pichot V, Roche F, Celle S, Barthélémy JC, Chouchou F. HRVanalysis: A Free Software for Analyzing Cardiac Autonomic Activity. Front Physiol. 2016;7. https://doi.org/10.3389/fphys.2016.00557 Search in Google Scholar

23 Heart Rate Variability Analysis with the HRV Toolkit. Accessed September 15, 2024. https://archive.physionet.org/tutorials/hrvtoolkit/ Search in Google Scholar

24 Vest AN, Da Poian G, Li Q, et al. An open source benchmarked toolbox for cardiovascular waveform and interval analysis. Physiol Meas. 2018;39(10):105004. https://doi.org/10.1088/1361-6579/aae021 Search in Google Scholar

25 Behar JA, Rosenberg AA, Weiser-Bitoun I, et al. PhysioZoo: A Novel Open Access Platform for Heart Rate Variability Analysis of Mammalian Electrocardiographic Data. Front Physiol. 2018;9:1390. https://doi.org/10.3389/fphys.2018.01390 Search in Google Scholar

26 Highlights — pyHRV - OpenSource Python Toolbox for Heart Rate Variability 0.4 documentation. Accessed September 15, 2024. https://pyhrv.readthedocs.io/en/latest/ Search in Google Scholar

27 Vollmer M. HRVTool - an Open-Source Matlab Toolbox for Analyzing Heart Rate Variability. In: ; 2019. https://doi.org/10.22489/CinC.2019.032 Search in Google Scholar

28 McConnell M, Schwerin B, So S, Richards B. RR-APET - Heart rate variability analysis software. Comput Methods Programs Biomed. 2020;185:105127. https://doi.org/10.1016/j.cmpb.2019.105127 Search in Google Scholar