ANS Lab Tools
Presentation of the project
The need to develop tools to carry out our research projects have leaded us to create softwares. These are devoted to the study of electrophysiological variables under control of the autonomic nervous system, such as heart rate, blood pressure, skin conductance, ventilation or pupil size. The softwares we propose in this project allows you to study the activity (or reactivity) of autonomic, sympathetic and parasympathetic nervous systems. The goal of ANS Lab Tools project is to share some softwares with the greatest number of users.
HRVanalysis is the first software we propose. It has been improved, tested and utilized for almost 20 years. It allows calculating autonomic sympathetic and parasympathetic nervous systems indices using heart rate variability analysis methods, from the widest used to the more sophisticated.
HRVanalysis calculate all the standard indices validated in the litterature : temporal (mean RR or heart rate, NN50, pNN50, SDNN, rMSSD, SDANN ...), geometric (triangulation Index, TINN ...), frequency (Ptot, ULF, VLF, LF, HF, LF/HF ratio ...), nonlinear analysis (Poincaré, DFA ...), as well as analysis of turbulence (HRT), Fourier transform of the increment of RR intervals (%VLFi,%LF, %HF ...), over short and long periods. In addition, the software allows time-frequency analysis using wavelet transform as well as analysis of autonomic nervous system status on surrounding scored events and on preselected labeled areas. Moreover, the interface is designed for easy study of large cohorts, including batch mode signal processing to avoid running repetitive operations.
HRVanalysis supports data exported from cardiofrequencemetre or ECG-Holter (RR intervalles) or arizing from ECG acquisition system (EDF, ISHNE, Binary, ...). The software includes various RR preprocessing functions such as RR correction, RR exclusion from analyses, user-entered areas of interest and events, HRV parameters preferences, etc...
HRVanalysis was developed using MATLAB® 2016a. HRVanalysis works on Windows 64-bit operating systems and it is not necessary to have MATLAB® installed on the computer, because MATLAB® Runtime is packaged with the software and automatically installed. HRVanalysis can be downloaded free of charge for none commercial use only. When using HRVanalysis to analyze data meant for publication, please cite the software download webpage in the methods section and credit the authors of the software when referencing.
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, 1031–1051.
European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Heart rate variability. Standards of measurement, physiological interpretation, and clinical use. Eur Heart J. 1996;17(3):354-81.
Principal references from our group linked to HRVanalysis software
Sforza E, Pichot V, Gschwind M, Roche F, Maeder-Ingvar M. Bradycardia and asystole during generalised interictal EEG discharges. Epileptic Disord. 2014 Dec;16(4):506-9.
Chouchou F, Pichot V, Pépin JL, Tamisier R, Celle S, Maudoux D, Garcin A, Lévy P, Barthélémy JC, Roche F; PROOF Study Group. Sympathetic overactivity due to sleep fragmentation is associated with elevated diurnal systolic blood pressure in healthy elderly subjects: the PROOF-SYNAPSE study. Eur Heart J. 2013;34(28):2122-31.
Chalencon S, Pichot V, Roche F, Lacour JR, Garet M, Connes P, Barthélémy JC, Busso T. Modeling of performance and ANS activity for predicting future responses to training. Eur J Appl Physiol. 2015 Mar;115(3):589-96.
Chouchou F, Pichot V, Barthélémy JC, Bastuji H, Roche F. Cardiac sympathetic modulation in response to apneas/hypopneas through heart rate variability analysis. PLoS One. 2014 Jan 22;9(1).
Chalencon S, Busso T, Lacour JR, Garet M, Pichot V, Connes P, Gabel CP, Roche F, Barthélémy JC. A model for the training effects in swimming demonstrates a strong relationship between parasympathetic activity, performance and index of fatigue. PLoS One. 2012;7(12).
Sforza E, Chouchou F, Pichot V, Barthélémy JC, Roche F. Heart rate increment in the diagnosis of obstructive sleep apnoea in an older population. Sleep Med. 2012 Jan;13(1):21-8.
Chouchou F, Pichot V, Perchet C, Legrain V, Garcia-Larrea L, Roche F, Bastuji H. Autonomic pain responses during sleep: a study of heart rate variability. Eur J Pain. 2011 Jul;15(6):554-60.
Assoumou HG, Pichot V, Barthelemy JC, Dauphinot V, Celle S, Gosse P, Kossovsky M, Gaspoz JM, Roche F. Metabolic syndrome and short-term and long-term heart rate variability in elderly free of clinical cardiovascular disease: the PROOF study. Rejuvenation Res. 2010;13(6):653-63.
Chouchou F, Pichot V, Garet M, Barthélémy JC, Roche F. Dominance in cardiac parasympathetic activity during real recreational SCUBA diving. Eur J Appl Physiol. 2009 Jun;106(3):345-52
Patural H, Pichot V, Jaziri F, Teyssier G, Gaspoz JM, Roche F, Barthelemy JC. Autonomic cardiac control of very preterm newborns: a prolonged dysfunction. Early Hum Dev. 2008 Oct;84(10):681-7.
Sforza E, Pichot V, Cervena K, Barthélémy JC, Roche F. Cardiac variability and heart-rate increment as a marker of sleep fragmentation in patients with a sleep disorder: a preliminary study. Sleep. 2007 Jan;30(1):43-51.
Roche F, Celle S, Pichot V, Barthélémy JC, Sforza E. Analysis of the interbeat interval increment to detect obstructive sleep apnoea/hypopnoea. Eur Respir J. 2007 Jun;29(6):1206-11.
Patural H, Barthelemy JC, Pichot V, Mazzocchi C, Teyssier G, Damon G, Roche F. Birth prematurity determines prolonged autonomic nervous system immaturity. Clin Auton Res. 2004 Dec;14(6):391-5.
Garet M, Degache F, Pichot V, Duverney D, Costes F, DA Costa A, Isaaz K, Lacour JR, Barthélémy JC, Roche F.Relationship between daily physical activity and ANS activity in patients with CHF. Med Sci Sports Exerc. 2005 Aug;37(8):1257-63.
Pichot V, Roche F, Denis C, Garet M, Duverney D, Costes F, Barthélémy JC. Interval training in elderly men increases both heart rate variability and baroreflex activity. Clin Auton Res. 2005;15(2):107-15.
Roche F, Pichot V, Sforza E, Court-Fortune I, Duverney D, Costes F, Garet M, Barthélémy JC. Predicting sleep apnoea syndrome from heart period: a time-frequency wavelet analysis. Eur Respir J. 2003 Dec;22(6):937-42.
Pichot V, Busso T, Roche F, Garet M, Costes F, Duverney D, Lacour JR, Barthélémy JC. Autonomic adaptations to intensive and overload training periods: a laboratory study. Med Sci Sports Exerc. 2002 Oct;34(10):1660-6.
Pichot V, Gaspoz JM, Molliex S, Antoniadis A, Busso T, Roche F, Costes F, Quintin L, Lacour JR, Barthélémy JC. Wavelet transform to quantify heart rate variability and to assess its instantaneous changes. J Appl Physiol (1985). 1999 Mar;86(3):1081-91.