B. Allen, J. R. Jennings, P. J. Gianaros, J. F. Thayer, and S. B. Manuck, Resting high-frequency heart rate variability is related to resting brain perfusion, Psychophysiology, vol.52, pp.277-287, 2015.

Z. M. Almurad and D. Delignières, Evenly spacing in Detrended Fluctuation Analysis, Phys. Stat. Mech. Its Appl, vol.451, pp.63-69, 2016.

M. J. Amon, O. C. Pavlov, and J. G. Holden, Synchronization and fractal scaling as foundations for cognitive control, Cogn Syst Res, pp.155-179, 2018.

,

V. S. Anishchenko, N. B. Igosheva, A. N. Pavlov, A. Khovanov, and T. A. Yakusheva, Comparative analysis of methods for classifying the cardiovascular system's states under stress, Crit. Rev. Biomed. Eng, vol.29, pp.462-481, 2001.

A. M. Aniss, H. C. Diener, J. Hore, S. C. Gandevia, and D. Burke, Behavior of human muscle receptors when reliant on proprioceptive feedback during standing, J. Neurophysiol, vol.64, pp.661-670, 1990.

M. Annerstedt, P. Jönsson, M. Wallergård, G. Johansson, B. Karlson et al., Inducing physiological stress recovery with sounds of nature in a virtual reality forest--results from a pilot study, Physiol. Behav, vol.118, pp.240-250, 2013.

N. Aresti-bartolome and B. Garcia-zapirain, Technologies as support tools for persons with autistic spectrum disorder: a systematic review, Int. J. Environ. Res. Public. Health, vol.11, pp.7767-7802, 2014.

R. Bailon, P. Laguna, L. Mainardi, and L. Sornmo, Analysis of heart rate variability using time-varying frequency bands based on respiratory frequency, Conf. Proc. Annu. Int. Conf, pp.6675-6678, 2007.

,

P. Bak, C. Tang, and K. Wiesenfeld, Self-organized criticality: An explanation of the 1/f noise, Phys. Rev. Lett, vol.59, pp.381-384, 1987.

,

L. Baratto, P. G. Morasso, C. Re, and G. Spada, A new look at posturographic analysis in the clinical context: sway-density versus other parameterization techniques, Motor Control, vol.6, pp.246-270, 2002.

H. Barbas and M. Á. García-cabezas, How the prefrontal executive got its stripes, Curr. Opin. Neurobiol, vol.40, pp.125-134, 2016.

R. Barbieri and E. P. Scilingo, Complexity and Nonlinearity in Cardiovascular Signals, 2017.

J. Bardet and P. Bertrand, Identification of the multiscale fractional Brownian motion with biomechanical applications, J. Time Ser. Anal, vol.28, pp.1-52, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00127953

R. Bartsch, M. Plotnik, J. W. Kantelhardt, S. Havlin, N. Giladi et al., Fluctuation and synchronization of gait intervals and gait force profiles distinguish stages of Parkinson's disease, Phys. A, vol.383, pp.455-465, 2007.

T. P. Beauchaine and J. F. Thayer, Heart rate variability as a transdiagnostic biomarker of psychopathology, Int. J. Psychophysiol. Off. J. Int. Organ. Psychophysiol, vol.98, pp.338-350, 2015.

O. Beauchet, G. Allali, M. Montero-odasso, E. Sejdi?, B. Fantino et al., Motor phenotype of decline in cognitive performance among communitydwellers without dementia: population-based study and meta-analysis, PloS One, vol.9, 2014.

F. Beissner, K. Meissner, K. Bär, and V. Napadow, The autonomic brain: an activation likelihood estimation meta-analysis for central processing of autonomic function, J. Neurosci. Off. J. Soc. Neurosci, vol.33, pp.10503-10511, 2013.

E. E. Benarroch, The central autonomic network: functional organization, dysfunction, and perspective, Mayo Clin. Proc, vol.68, pp.988-1001, 1993.

K. Berg, J. F. Kraemer, M. Riedl, H. Stepan, J. Kurths et al., Increased cardiorespiratory coordination in preeclampsia, Physiol. Meas, vol.38, pp.912-924, 2017.

L. Bernardi, L. Ricordi, P. Lazzari, P. Soldá, A. Calciati et al., Impaired circadian modulation of sympathovagal activity in diabetes. A possible explanation for altered temporal onset of cardiovascular disease, Circulation, vol.86, pp.1443-1452, 1992.

,

L. Bernardi, J. Wdowczyk-szulc, C. Valenti, S. Castoldi, C. Passino et al., Effects of controlled breathing, mental activity and mental stress with or without verbalization on heart rate variability, J. Am. Coll. Cardiol, vol.35, pp.1462-1469, 2000.

J. W. B?aszczyk and W. Klonowski, Postural stability and fractal dynamics, Acta Neurobiol. Exp. (Warsz.), vol.61, pp.105-112, 2001.

E. Blons, P. Gilfriche, L. M. Arsac, and V. Deschodt-arsac, Entropy in postural and cardiac-autonomic controls as a marker of adaptability to mental tasks in young vs. middle-aged healthy males, 2018.

E. Blons, V. Lespinet-najib, P. Gilfriche, L. Arsac, E. Grivel et al., Age-related psychophysiological response to an induced mild stress, 2019.

B. Bollens, F. Crevecoeur, C. Detrembleur, T. Warlop, and T. M. Lejeune, Variability of human gait: effect of backward walking and dual-tasking on the presence of long-range autocorrelations, Ann. Biomed. Eng, vol.42, pp.742-750, 2014.

X. Bornas, A. Riera-del-amo, M. Tortella-feliu, and J. Llabrés, Heart rate variability profiles and exposure therapy treatment outcome in flight phobia, 2012.

, Appl. Psychophysiol. Biofeedback, vol.37, pp.53-62

C. Botella, R. M. Baños, C. Perpiñá, H. Villa, M. Alcañiz et al., Virtual reality treatment of claustrophobia: a case report, Behav. Res. Ther, vol.36, pp.10006-10013, 1998.

C. Botella, B. Serrano, R. M. Baños, and A. Garcia-palacios, Virtual reality exposure-based therapy for the treatment of post-traumatic stress disorder: a review of its efficacy, the adequacy of the treatment protocol, and its acceptability, Neuropsychiatr. Dis. Treat, vol.11, pp.2533-2545, 2015.

,

C. Brockett, N. Warren, J. E. Gregory, D. L. Morgan, and U. Proske, A comparison of the effects of concentric versus eccentric exercise on force and position sense at the human elbow joint, Brain Res, vol.771, pp.251-258, 1997.

T. E. Brown, L. A. Beightol, J. Koh, and D. L. Eckberg, Important influence of respiration on human R-R interval power spectra is largely ignored, J. Appl. Physiol. Bethesda Md, vol.75, pp.2310-2317, 1985.

S. Byun, J. W. Han, T. Kim, . Hui, K. Kim et al., Gait Variability Can Predict the Risk of Cognitive Decline in Cognitively Normal Older People, Dement. Geriatr. Cogn. Disord, vol.45, pp.251-261, 2018.

J. R. Chagdes, S. Rietdyk, J. M. Haddad, H. N. Zelaznik, A. Raman et al., Multiple timescales in postural dynamics associated with vision and a secondary task are revealed by wavelet analysis, Exp. Brain Res, vol.197, pp.297-310, 2009.

P. Chandler and J. Sweller, Cognitive Load Theory and the Format of Instruction, Cogn. Instr, vol.8, pp.293-332, 1991.

M. Chen and B. C. Jiang, Resistance training exercise program for intervention to enhance gait function in elderly chronically ill patients: multivariate multiscale entropy for center of pressure signal analysis, Comput. Math. Methods Med, 2014.

D. Cho, J. Ham, J. Oh, J. Park, S. Kim et al., Detection of Stress Levels from Biosignals Measured in Virtual Reality Environments Using a Kernel-Based Extreme Learning Machine, Sensors, vol.17, 2017.

J. Choi and R. Gutierrez-osuna, Removal of Respiratory Influences From Heart Rate Variability in Stress Monitoring, IEEE Sens. J, vol.11, pp.2649-2656, 2011.

J. J. Collins and C. De-luca, Open-loop and closed-loop control of posture: A random-walk analysis of center-of-pressure trajectories, Exp. Brain Res, vol.95, pp.308-318, 1993.

J. J. Collins and C. J. De-luca, Random walking during quiet standing, Phys. Rev. Lett, vol.73, pp.764-767, 1994.

A. Cornish-bowden, M. L. Cárdenas, J. Letelier, J. Soto-andrade, and F. G. Abarzúa, Understanding the parts in terms of the whole, Biol. Cell, vol.96, pp.713-717, 2004.

M. Costa, A. L. Goldberger, and C. Peng, Multiscale entropy analysis of biological signals, Phys. Rev. E Stat. Nonlin. Soft Matter Phys, vol.71, p.21906, 2005.

M. Costa, A. L. Goldberger, and C. Peng, Multiscale entropy analysis of complex physiologic time series, Phys. Rev. Lett, vol.89, p.68102, 2002.

M. Costa, C. Peng, L. Goldberger, A. Hausdorff, and J. M. , Multiscale entropy analysis of human gait dynamics, Phys. Stat. Mech. Its Appl, vol.330, pp.53-60, 2003.

M. Costa, A. A. Priplata, L. A. Lipsitz, Z. Wu, N. E. Huang et al., Noise and poise: Enhancement of postural complexity in the elderly with a stochastic-resonance-based therapy, Europhys. Lett, vol.77, p.68008, 2007.

M. D. Costa and A. L. Goldberger, Generalized Multiscale Entropy Analysis: Application to Quantifying the Complex Volatility of Human Heartbeat Time Series, Entropy Basel Switz, vol.17, pp.1197-1203, 2015.

J. Counotte, R. Pot-kolder, A. M. Van-roon, O. Hoskam, M. Van-der-gaag et al., High psychosis liability is associated with altered autonomic balance during exposure to Virtual Reality social stressors, Schizophr. Res, vol.184, pp.14-20, 2017.

S. Dash, K. H. Shelley, D. G. Silverman, and K. H. Chon, Estimation of respiratory rate from ECG, photoplethysmogram, and piezoelectric pulse transducer signals: a comparative study of time-frequency methods, IEEE Trans. Biomed. Eng, vol.57, pp.1099-1107, 2010.

M. C. Dault and J. S. Frank, Does practice modify the relationship between postural control and the execution of a secondary task in young and older individuals?, Gerontology, vol.50, pp.157-164, 2004.

R. B. Davies and D. S. Harte, Tests for Hurst effect, Biometrika, vol.74, pp.95-101, 1987.

J. R. Davis, A. D. Campbell, A. L. Adkin, and M. G. Carpenter, The relationship between fear of falling and human postural control, Gait Posture, vol.29, pp.275-279, 2009.

D. Delignières, L. Lemoine, and K. Torre, Time intervals production in tapping and oscillatory motion, Hum. Mov. Sci, vol.23, pp.87-103, 2004.

,

D. Delignières and V. Marmelat, Degeneracy and long-range correlations, Chaos Woodbury N, vol.23, p.43109, 2013.

D. Delignieres, S. Ramdani, L. Lemoine, K. Torre, M. Fortes et al., Fractal analyses for 'short' time series: A re-assessment of classical methods, J. Math. Psychol, vol.50, pp.525-544, 2006.

D. Delignières and K. Torre, Event-based and emergent timing: dichotomy or continuum? A reply to Repp and Steinman (2010), J. Mot. Behav, vol.43, pp.311-318, 2011.

D. Delignières, K. Torre, and P. Bernard, Transition from persistent to antipersistent correlations in postural sway indicates velocity-based control, PLoS Comput. Biol, vol.7, 2011.

D. Delignières, K. Torre, and L. Lemoine, Fractal models for event-based and dynamical timers, Acta Psychol. (Amst.), vol.127, pp.382-397, 2008.

,

D. Delignières, K. Torre, and L. Lemoine, Methodological issues in the application of monofractal analyses in psychological and behavioral research, Nonlinear Dyn. Psychol. Life Sci, vol.9, pp.435-461, 2005.

H. C. Diener, J. Dichgans, F. Bootz, and M. Bacher, Early stabilization of human posture after a sudden disturbance: influence of rate and amplitude of displacement, Exp. Brain Res, vol.56, pp.126-134, 1984.

A. Dietrich and P. B. Sparling, Endurance exercise selectively impairs prefrontaldependent cognition, Brain Cogn, vol.55, pp.516-524, 2004.

,

V. Dietz, K. Mauritz, and J. Dichgans, Body oscillations in balancing due to segmental stretch reflex activity, Exp. Brain Res, vol.40, pp.89-95, 1980.

D. A. Dimitriev, E. V. Saperova, and A. D. Dimitriev, State Anxiety and Nonlinear Dynamics of Heart Rate Variability in Students, PloS One, vol.11, 2016.

J. B. Dingwell and J. P. Cusumano, Re-interpreting detrended fluctuation analyses of stride-to-stride variability in human walking, Gait Posture, vol.32, pp.348-353, 2010.

A. Diniz, M. L. Wijnants, K. Torre, J. Barreiros, N. Crato et al., Contemporary theories of 1/f noise in motor control, Hum. Mov. Sci, vol.30, pp.889-905, 2011.

K. Dockx, E. M. Bekkers, V. Van-den-bergh, P. Ginis, L. Rochester et al., Virtual reality for rehabilitation in Parkinson's disease, Cochrane Database Syst. Rev, vol.12, 2016.

S. F. Donker, M. Roerdink, A. J. Greven, and P. J. Beek, Regularity of center-ofpressure trajectories depends on the amount of attention invested in postural control, Exp. Brain Res. Exp. Hirnforsch. Exp. Cerebrale, vol.181, pp.1-11, 2007.

M. Duarte and V. M. Zatsiorsky, Long-range correlations in human standing, Phys. Lett. A, vol.283, pp.124-128, 2001.

C. Dupui, M. C. Costes-salon, R. Montoya, A. Séverac, M. Lazergues et al., Intérêt de l'analyse fréquentielle des oscillations posturales lors de l'équilibre dynamique, 1990.

G. Durantin, J. Gagnon, S. Tremblay, and F. Dehais, Using near infrared spectroscopy and heart rate variability to detect mental overload, Behav. Brain Res, vol.259, pp.16-23, 2014.
URL : https://hal.archives-ouvertes.fr/hal-00996701

G. M. Edelman and J. A. Gally, Degeneracy and complexity in biological systems, Proc. Natl. Acad. Sci, vol.98, pp.13763-13768, 2001.

A. Eke, P. Hermán, J. B. Bassingthwaighte, G. M. Raymond, D. B. Percival et al., Physiological time series: distinguishing fractal noises from motions, Pflugers Arch, vol.439, pp.403-415, 2000.

J. Faubert and L. Sidebottom, Perceptual-cognitive training of athletes, J. Clin. Sport Psychol, vol.6, pp.85-102, 2012.

M. Ferrer-garcía and J. Gutiérrez-maldonado, The use of virtual reality in the study, assessment, and treatment of body image in eating disorders and nonclinical samples: a review of the literature, Body Image, vol.9, pp.1-11, 2012.

R. Fitzpatrick, D. Burke, and S. C. Gandevia, Loop gain of reflexes controlling human standing measured with the use of postural and vestibular disturbances, J. Neurophysiol, vol.76, pp.3994-4008, 1996.

R. C. Fitzpatrick, R. B. Gorman, D. Burke, and S. C. Gandevia, Postural proprioceptive reflexes in standing human subjects: bandwidth of response and transmission characteristics, J. Physiol, vol.458, pp.69-83, 1992.

D. P. Francis, K. Willson, P. Georgiadou, R. Wensel, L. C. Davies et al., Physiological basis of fractal complexity properties of heart rate variability in man, J. Physiol, vol.542, pp.619-629, 2002.

J. Gao, J. Hu, X. Mao, and M. Perc, Culturomics meets random fractal theory: insights into long-range correlations of social and natural phenomena over the past two centuries, J. R. Soc. Interface, vol.9, pp.1956-1964, 2012.

,

H. Gasquet and A. J. Wootton, Variable-frequency complex demodulation technique for extracting amplitude and phase information, Rev. Sci. Instrum, vol.68, pp.1111-1114, 1997.

A. M. Gavgani, K. V. Nesbitt, K. L. Blackmore, and E. Nalivaiko, Profiling subjective symptoms and autonomic changes associated with cybersickness, Auton. Neurosci. Basic Clin, vol.203, pp.41-50, 2017.

,

S. M. Gerber, M. Jeitziner, P. Wyss, A. Chesham, P. Urwyler et al., Visuo-acoustic stimulation that helps you to relax: A virtual reality setup for patients in the intensive care unit, Sci. Rep, vol.7, pp.1-10, 2017.

J. J. Gibson, The Ecological Approach to Visual Perception, 1979.

D. L. Gilden, Cognitive emissions of 1/f noise, Psychol. Rev, vol.108, pp.33-56, 2001.

D. Giles, N. Draper, and W. Neil, Validity of the Polar V800 heart rate monitor to measure RR intervals at rest, Eur. J. Appl. Physiol, vol.116, pp.563-571, 2016.

P. Gilfriche, L. M. Arsac, E. Blons, and V. Deschodt-arsac, Fractal properties and short-term correlations in motor control in cycling: influence of a cognitive challenge, Hum. Mov. Sci, vol.67, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02469701

P. Gilfriche, L. M. Arsac, E. Blons, and V. Deschodt-arsac, Impact of a cognitive task on cycling fractal properties. Presented at the Congress of the European College of Sport Sciences, 2018.
URL : https://hal.archives-ouvertes.fr/hal-02470205

P. Gilfriche, L. M. Arsac, Y. Daviaux, J. Diaz-pineda, B. Miard et al., Highly sensitive index of cardiac autonomic control based on timevarying respiration derived from ECG, Am. J. Physiol.-Regul. Integr. Comp. Physiol, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01832332

P. Gilfriche, V. Deschodt-arsac, E. Blons, and L. Arsac, Frequency-specific Fractal Analysis of postural control accounts for control strategies, Front. Physiol, vol.9, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01832333

A. L. Goldberger, L. A. Amaral, J. M. Hausdorff, P. C. Ivanov, C. Peng et al., Fractal dynamics in physiology: alterations with disease and aging, Proc. Natl. Acad. Sci. U. S. A. 99 Suppl, vol.1, pp.2466-2472, 2002.

R. L. Goldsmith, J. T. Bigger, D. M. Bloomfield, and R. C. Steinman, Physical fitness as a determinant of vagal modulation, Med. Sci. Sports Exerc, vol.29, pp.812-817, 1997.

E. Golomer and P. Dupui, Spectral analysis of adult dancers' sways: sex and interaction vision-proprioception, Int. J. Neurosci, vol.105, pp.15-26, 2000.

E. Golomer, P. Dupui, and P. Bessou, Spectral frequency analysis of dynamic balance in healthy and injured athletes, Arch. Int. Physiol. Biochim. Biophys, vol.102, pp.225-229, 1994.

A. Gorini and G. Riva, Virtual reality in anxiety disorders: the past and the future, Expert Rev. Neurother, vol.8, pp.215-233, 2008.

M. Gregoric, F. Pecak, J. V. Trontelj, and M. R. Dimitrijevi?, Postural control in scoliosis. A statokinesimetric study in patients with scoliosis due to neuromuscular disorders and in patients with idiopathic scoliosis, Acta Orthop. Scand, vol.52, pp.59-63, 1981.

R. A. Grier, How High is High? A Meta-Analysis of NASA-TLX Global Workload Scores, Proc. Hum. Factors Ergon. Soc. Annu. Meet, vol.59, pp.1727-1731, 2015.

D. M. Gronwall, Paced auditory serial-addition task: a measure of recovery from concussion, Percept. Mot. Skills, vol.44, pp.367-373, 1977.

,

J. Grubaugh and C. K. Rhea, Gait performance is not influenced by working memory when walking at a self-selected pace, Exp. Brain Res, vol.232, pp.515-525, 2014.

A. H. Gruber, M. A. Busa, G. E. Iii, R. E. Emmerik, P. D. Masso et al., Time-to-contact and multiscale entropy identify differences in postural control in adolescent idiopathic scoliosis, Gait Posture, vol.34, pp.13-18, 2011.

S. G. Hart, Nasa-Task Load Index (NASA-TLX); 20 Years Later, Proc. Hum. Factors Ergon. Soc. Annu. Meet, vol.50, pp.904-908, 2006.

,

S. G. Hart and L. E. Staveland, Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research, Advances in Psychology, Human Mental Workload, pp.62386-62395, 1988.

J. M. Hausdorff, Gait dynamics in Parkinson's disease: common and distinct behavior among stride length, gait variability, and fractal-like scaling, Chaos Woodbury N, vol.19, 2009.

J. M. Hausdorff, Gait dynamics, fractals and falls: finding meaning in the strideto-stride fluctuations of human walking, Hum. Mov. Sci, vol.26, pp.555-589, 2007.

J. M. Hausdorff, Gait variability: methods, modeling and meaning, J. Neuroengineering Rehabil, vol.2, 2005.

J. M. Hausdorff, Y. Ashkenazy, C. K. Peng, P. C. Ivanov, H. E. Stanley et al., When human walking becomes random walking: fractal analysis and modeling of gait rhythm fluctuations, Phys. A, vol.302, pp.138-147, 2001.

J. M. Hausdorff, S. L. Mitchell, R. Firtion, C. K. Peng, M. E. Cudkowicz et al., Altered fractal dynamics of gait: reduced stride-interval correlations with aging and Huntington's disease, J. Appl. Physiol. Bethesda Md, vol.82, pp.262-269, 1985.

J. M. Hausdorff, C. K. Peng, Z. Ladin, J. Y. Wei, and A. L. Goldberger, Is walking a random walk? Evidence for long-range correlations in stride interval of human gait, J. Appl. Physiol. Bethesda Md, vol.78, pp.349-358, 1985.

,

J. M. Hausdorff, P. L. Purdon, C. K. Peng, Z. Ladin, J. Y. Wei et al., Fractal dynamics of human gait: stability of long-range correlations in stride interval fluctuations, J. Appl. Physiol. Bethesda Md, vol.80, pp.1448-1457, 1985.

J. M. Hausdorff, L. Zemany, C. Peng, and A. L. Goldberger, Maturation of gait dynamics: stride-to-stride variability and its temporal organization in children, J. Appl. Physiol. Bethesda Md, vol.86, pp.1040-1047, 1985.

,

C. Heneghan and G. Mcdarby, Establishing the relation between detrended fluctuation analysis and power spectral density analysis for stochastic processes, Phys. Rev. E Stat. Phys. Plasmas Fluids Relat. Interdiscip. Top, vol.62, pp.6103-6110, 2000.

T. Herman, N. Giladi, T. Gurevich, and J. M. Hausdorff, Gait instability and fractal dynamics of older adults with a "cautious" gait: why do certain older adults walk fearfully?, Gait Posture, vol.21, pp.178-185, 2005.

,

H. G. Hoffman, T. Richards, B. Coda, A. Richards, and S. R. Sharar, The illusion of presence in immersive virtual reality during an fMRI brain scan, 2003.

, Cyberpsychology Behav. Impact Internet Multimed. Virtual Real. Behav. Soc, vol.6, pp.127-131

E. Hollnagel, A. Nåbo, and I. Lau, A systemic model for Driver-in-Control, DIVA. Presented at the International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design, 2003.

A. Hone-blanchet, T. Wensing, and S. Fecteau, The Use of Virtual Reality in Craving Assessment and Cue-Exposure Therapy in Substance Use Disorders, Front. Hum. Neurosci, vol.8, 2014.

F. B. Horak, C. L. Shupert, and A. Mirka, Components of postural dyscontrol in the elderly: a review, Neurobiol. Aging, vol.10, pp.727-738, 1989.

Y. Hoshikawa and Y. Yamamoto, Effects of Stroop color-word conflict test on the autonomic nervous system responses, Am. J. Physiol, vol.272, pp.1113-1121, 1997.

A. Hovland, S. Pallesen, Å. Hammar, A. L. Hansen, J. F. Thayer et al., The relationships among heart rate variability, executive functions, and clinical variables in patients with panic disorder, Int. J. Psychophysiol. Off. J. Int. Organ. Psychophysiol, vol.86, pp.269-275, 2012.

H. V. Huikuri, Heart Rate Dynamics as a Marker of Vulnerability to Atrial Fibrillation, J. Cardiovasc. Electrophysiol, vol.19, pp.913-914, 2008.

,

A. Humeau-heurtier, The Multiscale Entropy Algorithm and Its Variants: A Review, Entropy, vol.17, pp.3110-3123, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01392073

C. H. Hung and B. C. Jiang, Multiscale entropy approach to physiological fatigue during long-term Web browsing, Hum. Factors Ergon. Manuf. Serv. Ind, vol.19, pp.478-493, 2009.

R. Huys, B. E. Studenka, N. L. Rheaume, H. N. Zelaznik, and V. K. Jirsa, Distinct timing mechanisms produce discrete and continuous movements, PLoS Comput. Biol, vol.4, 2008.

J. Hwang and S. Lee, The effect of virtual reality program on the cognitive function and balance of the people with mild cognitive impairment, J. Phys. Ther. Sci, vol.29, pp.1283-1286, 2017.

B. W. Hyndman and J. R. Gregory, Spectral analysis of sinus arrhythmia during mental loading, Ergonomics, vol.18, pp.255-270, 1975.

,

N. Iyengar, C. K. Peng, R. Morin, A. L. Goldberger, and L. A. Lipsitz, Age-related alterations in the fractal scaling of cardiac interbeat interval dynamics, Am. J. Physiol, vol.271, pp.1078-1084, 1996.

H. J. Jensen, Self-Organized Criticality: Emergent Complex Behavior in Physical and Biological Systems, 1998.

B. C. Jiang, W. Yang, J. Shieh, J. S. Fan, .. Peng et al., Entropy-based method for COP data analysis, Theor. Issues Ergon. Sci, vol.14, pp.227-246, 2013.

K. Jordan, J. H. Challis, J. P. Cusumano, and K. M. Newell, Stability and the timedependent structure of gait variability in walking and running, Hum. Mov. Sci, vol.28, pp.113-128, 2009.

K. Jordan, J. H. Challis, and K. M. Newell, Walking speed influences on gait cycle variability, Gait Posture, vol.26, pp.128-134, 2007.

,

J. Juvrud, G. Gredebäck, F. Åhs, N. Lerin, P. Nyström et al., The Immersive Virtual Reality Lab: Possibilities for Remote Experimental Manipulations of Autonomic Activity on a Large Scale, Front. Neurosci, vol.12, p.305, 2018.

D. Kahneman, Attention and Effort, 1973.

J. W. Kalsbeek and R. N. Sykes, Objective measurement of mental load, Acta Psychol. (Amst.), vol.27, pp.253-261, 1967.

H. G. Kang, M. D. Costa, A. A. Priplata, O. V. Starobinets, A. L. Goldberger et al., Frailty and the degradation of complex balance dynamics during a dual-task protocol, J. Gerontol. A. Biol. Sci. Med. Sci, vol.64, pp.1304-1311, 2009.

,

J. W. Kantelhardt, S. A. Zschiegner, E. Koscielny-bunde, A. Bunde, S. Havlin et al., Multifractal detrended fluctuation analysis of nonstationary time series, Phys. Stat. Mech. Its Appl, vol.316, pp.87-114, 2002.

, , pp.1383-1386

C. Kazzi, C. Blackmore, F. Shirbani, I. Tan, M. Butlin et al., Effects of instructed meditation augmented by computer-rendered artificial virtual environment on heart rate variability, Conf. Proc. Annu. Int. Conf, pp.2768-2771, 2018.

C. T. Kello, B. C. Beltz, J. G. Holden, and G. C. Van-orden, The emergent coordination of cognitive function, J. Exp. Psychol. Gen, vol.136, pp.551-568, 2007.

A. W. Kiefer, M. A. Riley, K. Shockley, S. Villard, and G. C. Van-orden, Walking changes the dynamics of cognitive estimates of time intervals, J. Exp. Psychol. Hum. Percept. Perform, vol.35, pp.1532-1541, 2009.

M. Kirchner, P. Schubert, M. Liebherr, and C. T. Haas, Detrended fluctuation analysis and adaptive fractal analysis of stride time data in Parkinson's disease: stitching together short gait trials, PloS One, vol.9, 2014.

R. E. Kleiger, J. P. Miller, J. T. Bigger, and A. J. Moss, Decreased heart rate variability and its association with increased mortality after acute myocardial infarction, Am. J. Cardiol, vol.59, pp.90795-90803, 1987.

N. Kuznetsov, S. Bonnette, J. Gao, and M. A. Riley, Adaptive fractal analysis reveals limits to fractal scaling in center of pressure trajectories, Ann. Biomed. Eng, vol.41, pp.1646-1660, 2013.

N. A. Kuznetsov, C. M. Luberto, K. Avallone, K. Kraemer, A. C. Mcleish et al., Characteristics of postural control among young adults with asthma, J. Asthma Off. J. Assoc. Care Asthma, vol.52, pp.191-197, 2015.

,

D. E. Lake, J. S. Richman, M. P. Griffin, and J. R. Moorman, Sample entropy analysis of neonatal heart rate variability, Am. J. Physiol. Regul. Integr. Comp. Physiol, vol.283, pp.789-797, 2002.

K. Lambourne, M. Audiffren, and P. D. Tomporowski, Effects of acute exercise on sensory and executive processing tasks, Med. Sci. Sports Exerc, vol.42, pp.1396-1402, 2010.
URL : https://hal.archives-ouvertes.fr/hal-02109869

C. J. Lamoth, F. J. Van-deudekom, J. P. Van-campen, B. A. Appels, O. J. De-vries et al., Gait stability and variability measures show effects of impaired cognition and dual tasking in frail people, J. Neuroengineering Rehabil, vol.8, 2011.

C. J. Lamoth and M. J. Van-heuvelen, Sports activities are reflected in the local stability and regularity of body sway: older ice-skaters have better postural control than inactive elderly, Gait Posture, vol.35, pp.489-493, 2012.

,

C. J. Lamoth, R. C. Van-lummel, and P. J. Beek, Athletic skill level is reflected in body sway: a test case for accelometry in combination with stochastic dynamics, Gait Posture, vol.29, pp.546-551, 2009.

M. Latka, S. Budrewicz, K. Kozlowska, M. Koszewicz, and B. J. West, Signatures of Parkinson's disease in complexity of low-frequency fluctuations of postural sway velocity, ArXiv171007705 Phys. Q-Bio, 2017.

L. Lemoine, Implication des processus de timing événementiels et émergents dans la gestion des aspects temporels du mouvement, 2007.

L. Lemoine and D. Delignières, Detrended windowed (lag one) autocorrelation: a new method for distinguishing between event-based and emergent timing, Q. J. Exp. Psychol, vol.62, pp.585-604, 2006.

P. A. Lewis and R. C. Miall, Distinct systems for automatic and cognitively controlled time measurement: evidence from neuroimaging, Curr. Opin. Neurobiol, vol.13, pp.250-255, 2003.

K. Z. Li, G. A. Abbud, S. A. Fraser, and R. G. Demont, Successful adaptation of gait in healthy older adults during dual-task treadmill walking, Neuropsychol. Dev. Cogn. B Aging Neuropsychol. Cogn, vol.19, pp.150-167, 2012.

,

L. A. Lipsitz, Dynamics of stability: the physiologic basis of functional health and frailty, J. Gerontol. A. Biol. Sci. Med. Sci, vol.57, pp.115-125, 2002.

L. A. Lipsitz and A. L. Goldberger, Loss of "complexity" and aging. Potential applications of fractals and chaos theory to senescence, JAMA, vol.267, pp.1806-1809, 1992.

M. Lishner, S. Akselrod, V. Mor-avi, O. Oz, M. Divon et al., Spectral analysis of heart rate fluctuations. A non-invasive, sensitive method for the early diagnosis of autonomic neuropathy in diabetes mellitus, J. Auton. Nerv. Syst, vol.19, pp.90005-90006, 1987.

N. R. Lomb, Least-squares frequency analysis of unequally spaced data, Astrophys. Space Sci, vol.39, pp.447-462, 1976.

H. Luczak and W. Laurig, An analysis of heart rate variability, Ergonomics, vol.16, pp.85-97, 1973.

A. Luque-casado, J. C. Perales, D. Cárdenas, and D. Sanabria, Heart rate variability and cognitive processing: The autonomic response to task demands, Biol. Psychol, vol.113, pp.83-90, 2016.

M. Malik, 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, Ann. Noninvasive Electrocardiol, vol.1, pp.151-181, 1996.

M. Mali?ska, K. Zu?ewicz, J. Bugajska, and A. Grabowski, Heart rate variability (HRV) during virtual reality immersion, Int. J. Occup. Saf. Ergon. JOSE, vol.21, pp.47-54, 2015.

A. Malliani, M. Pagani, F. Lombardi, and S. Cerutti, Cardiovascular neural regulation explored in the frequency domain, Circulation, vol.84, pp.482-492, 1991.

B. B. Mandelbrot, Les objets fractals: forme, hasard et dimension, Flammarion, 1975.

B. B. Mandelbrot and J. W. Van-ness, Fractional Brownian Motions, Fractional Noises and Applications, SIAM Rev, vol.10, pp.422-437, 1968.

,

B. Manor, M. D. Costa, K. Hu, E. Newton, O. Starobinets et al., Physiological complexity and system adaptability: evidence from postural control dynamics of older adults, J. Appl. Physiol. Bethesda Md, vol.109, pp.1786-1791, 1985.

,

H. Mansikka, K. Virtanen, D. Harris, and P. Simola, Fighter pilots' heart rate, heart rate variation and performance during an instrument flight rules proficiency test, Appl. Ergon, vol.56, pp.213-219, 2016.

,

V. Marmelat and D. Delignières, Strong anticipation: complexity matching in interpersonal coordination, Exp. Brain Res, vol.222, pp.137-148, 2012.

,

V. Marmelat, K. Torre, and D. Delignières, Relative roughness: an index for testing the suitability of the monofractal model, Front. Physiol, vol.3, 2012.

V. Matic, P. J. Cherian, N. Koolen, A. H. Ansari, G. Naulaers et al., Objective differentiation of neonatal EEG background grades using detrended fluctuation analysis, Front. Hum. Neurosci, vol.9, p.189, 2015.

B. Mazzanti, C. Lamberti, J. Bie, and . De, Validation of an ECG-derived respiration monitoring method, Computers in Cardiology, pp.613-616, 2003.

,

R. Mccraty and M. A. Zayas, Cardiac coherence, self-regulation, autonomic stability, and psychosocial well-being, Front. Psychol, vol.5, 2014.

P. Melillo, M. Bracale, and L. Pecchia, Nonlinear Heart Rate Variability features for real-life stress detection. Case study: students under stress due to university examination, Biomed. Eng. Online, vol.10, p.96, 2011.

E. K. Miller, The prefrontal cortex and cognitive control, Nat. Rev. Neurosci, vol.1, pp.59-65, 2000.

A. Mirelman, T. Herman, M. Brozgol, M. Dorfman, E. Sprecher et al., Executive function and falls in older adults: new findings from a five-year prospective study link fall risk to cognition, PloS One, vol.7, 2012.

A. Mirelman, I. Maidan, T. Herman, J. E. Deutsch, N. Giladi et al., Virtual reality for gait training: can it induce motor learning to enhance complex walking and reduce fall risk in patients with Parkinson's disease?, J. Gerontol. A. Biol. Sci. Med. Sci, vol.66, pp.234-240, 2011.

S. Miyake, S. Yamada, T. Shoji, Y. Takae, N. Kuge et al., Physiological responses to workload change. A test/retest examination, Appl. Ergon, vol.40, pp.987-996, 2009.

G. B. Moody, Spectral analysis of heart rate without resampling, Proceedings of Computers in Cardiology Conference. Presented at the Proceedings of Computers in Cardiology Conference, pp.715-718, 1993.

,

G. B. Moody, R. G. Mark, M. A. Bump, J. S. Weinstein, A. D. Berman et al., Clinical validation of the ECG-derived respiration (EDR) technique, Comput. Cardiol, vol.13, pp.507-510, 1986.

G. B. Moody, R. G. Mark, A. Zoccola, and S. Mantero, Derivation of respiratory signals from multi-lead-ECGs, Comput. Cardiol, vol.12, pp.113-116, 1985.

T. J. Moss, M. T. Clark, J. F. Calland, K. B. Enfield, J. D. Voss et al., Cardiorespiratory dynamics measured from continuous ECG monitoring improves detection of deterioration in acute care patients: A retrospective cohort study, PLOS ONE, vol.12, 2017.

L. Mourot, M. Bouhaddi, N. Tordi, J. Rouillon, and J. Regnard, Short-and long-term effects of a single bout of exercise on heart rate variability: comparison between constant and interval training exercises, Eur. J. Appl. Physiol, vol.92, pp.508-517, 2004.

E. R. Muth, J. D. Moss, P. J. Rosopa, J. N. Salley, and A. D. Walker, Respiratory sinus arrhythmia as a measure of cognitive workload, Int. J. Psychophysiol. Off. J. Int. Organ. Psychophysiol, vol.83, pp.96-101, 2012.

,

Z. Nagy, P. Mukli, P. Herman, and A. Eke, Decomposing Multifractal Crossovers. Front. Physiol, vol.8, p.533, 2017.

D. Nourrit-lucas, A. O. Tossa, G. Zélic, and D. Delignières, Learning, motor skill, and long-range correlations, J. Mot. Behav, vol.47, pp.182-189, 2015.
URL : https://hal.archives-ouvertes.fr/hal-00948236

,

S. Ohyama, S. Nishiike, H. Watanabe, K. Matsuoka, H. Akizuki et al., Autonomic responses during motion sickness induced by virtual reality, Auris. Nasus. Larynx, vol.34, pp.303-306, 2007.

,

D. Opri?, S. Pintea, A. García-palacios, C. Botella, ?. Szamosközi et al., Virtual reality exposure therapy in anxiety disorders: a quantitative metaanalysis, Depress. Anxiety, vol.29, pp.85-93, 2012.

T. J. Overbeek, A. Van-boxtel, and J. H. Westerink, Respiratory sinus arrhythmia responses to cognitive tasks: effects of task factors and RSA indices, Biol. Psychol, vol.99, pp.1-14, 2014.

M. Pagani, R. Furlan, P. Pizzinelli, W. Crivellaro, S. Cerutti et al., Spectral analysis of R-R and arterial pressure variabilities to assess sympathovagal interaction during mental stress in humans, J. Hypertens. Suppl. Off. J. Int. Soc. Hypertens, vol.7, pp.14-15, 1989.

T. Paillard, C. Costes-salon, C. Lafont, and P. Dupui, Are there differences in postural regulation according to the level of competition in judoists?, Br. J. Sports Med, vol.36, pp.304-305, 2002.
URL : https://hal.archives-ouvertes.fr/hal-02441762

T. Paillard and F. Noé, Techniques and Methods for Testing the Postural Function in Healthy and Pathological Subjects, BioMed Res. Int, p.891390, 2015.
URL : https://hal.archives-ouvertes.fr/hal-02087903

M. Paniccia, L. Verweel, S. Thomas, T. Taha, M. Keightley et al., Heart Rate Variability in Healthy Non-Concussed Youth Athletes: Exploring the Effect of Age, Sex, and Concussion-Like Symptoms, Front. Neurol, vol.8, 2018.

T. D. Parsons and A. A. Rizzo, Affective outcomes of virtual reality exposure therapy for anxiety and specific phobias: a meta-analysis, J. Behav. Ther. Exp. Psychiatry, vol.39, pp.250-261, 2008.

H. Pashler, Dual-task interference in simple tasks: data and theory, Psychol. Bull, vol.116, pp.220-244, 1994.

M. Pellet, A. Oustaloup, P. Melchior, A. Richard, J. Cabelguen et al., École doctorale des sciences physiques et de l'ingénieur, 1970.

C. K. Peng, J. M. Hausdorff, S. Havlin, J. E. Mietus, H. E. Stanley et al., Multiple-time scales analysis of physiological time series under neural control, Phys. A, vol.249, pp.491-500, 1998.

C. K. Peng, S. Havlin, H. E. Stanley, and A. L. Goldberger, Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series, Chaos Woodbury N, vol.5, pp.82-87, 1995.

C. Peng, J. Mietus, J. M. Hausdorff, S. Havlin, H. E. Stanley et al., Long-range anticorrelations and non-Gaussian behavior of the heartbeat, Phys. Rev. Lett, vol.70, pp.1343-1346, 1993.

H. Petkar, Effects of Working Memory Demand on Performance and Mental Stress During the Stroop Task (masters), 2011.

V. Pichot, E. Bourin, F. Roche, M. Garet, J. Gaspoz et al., Quantification of cumulated physical fatigue at the workplace, Pflüg. Arch. Eur. J. Physiol, vol.445, pp.267-272, 2002.

V. Pichot, J. M. Gaspoz, S. Molliex, A. Antoniadis, T. Busso et al., Wavelet transform to quantify heart rate variability and to assess its instantaneous changes, J. Appl. Physiol. Bethesda Md, vol.86, pp.1081-1091, 1985.

V. Pichot, F. Roche, J. M. Gaspoz, F. Enjolras, A. Antoniadis et al., Relation between heart rate variability and training load in middle-distance runners, Med. Sci. Sports Exerc, vol.32, pp.1729-1736, 2000.

S. Pincus, Approximate entropy (ApEn) as a complexity measure, Chaos Woodbury N, vol.5, pp.110-117, 1995.

N. Polskaia and Y. Lajoie, Reducing postural sway by concurrently performing challenging cognitive tasks, Hum. Mov. Sci, vol.46, pp.177-183, 2016.

,

H. F. Posada-quintero, J. P. Florian, Á. D. Orjuela-cañón, and K. H. Chon, Highly sensitive index of sympathetic activity based on time-frequency spectral analysis of electrodermal activity, Am. J. Physiol. Regul. Integr. Comp. Physiol, vol.311, pp.582-591, 2016.

M. B. Powers and P. M. Emmelkamp, Virtual reality exposure therapy for anxiety disorders: A meta-analysis, J. Anxiety Disord, vol.22, pp.561-569, 2008.

,

A. Priplata, J. Niemi, M. Salen, J. Harry, L. A. Lipsitz et al., Noiseenhanced human balance control, Phys. Rev. Lett, vol.89, p.238101, 2002.

E. D. Ragan, A. Sowndararajan, R. Kopper, and D. A. Bowman, The Effects of Higher Levels of Immersion on Procedure Memorization Performance and Implications for Educational Virtual Environments, Presence Teleoperators Virtual Environ, vol.19, pp.527-543, 2010.

S. Ramdani, V. Bonnet, G. Tallon, J. Lagarde, P. L. Bernard et al., Parameters Selection for Bivariate Multiscale Entropy Analysis of Postural Fluctuations in Fallers and Non-Fallers Older Adults, IEEE Trans. Neural Syst. Rehabil. Eng. Publ. IEEE Eng. Med. Biol. Soc, vol.24, pp.859-871, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01889847

G. E. Riccio and T. A. Stoffregen, Affordances as constraints on the control of stance, Hum. Mov. Sci, vol.7, pp.265-300, 1988.

J. S. Richman and J. R. Moorman, Physiological time-series analysis using approximate entropy and sample entropy, Am. J. Physiol. Heart Circ. Physiol, vol.278, pp.2039-2049, 2000.

M. A. Riley, S. Bonnette, N. Kuznetsov, S. Wallot, and J. Gao, A tutorial introduction to adaptive fractal analysis, Front. Physiol, vol.3, 2012.

M. Roerdink, A. Daffertshofer, V. Marmelat, and P. J. Beek, How to Sync to the Beat of a Persistent Fractal Metronome without Falling Off the Treadmill?, PloS One, vol.10, 2015.

M. Roerdink, M. De-haart, A. Daffertshofer, S. F. Donker, A. C. Geurts et al., Dynamical structure of center-of-pressure trajectories in patients recovering from stroke, Exp. Brain Res, vol.174, pp.256-269, 2006.

,

T. Romeas, A. Guldner, and J. Faubert, 3D-Multiple Object Tracking training task improves passing decision-making accuracy in soccer players, Psychol. Sport Exerc, vol.22, pp.1-9, 2016.

A. H. Roscoe, Assessing pilot workload. Why measure heart rate, HRV and respiration?, Biol. Psychol, vol.34, pp.259-287, 1992.

S. M. Ryan, A. L. Goldberger, S. M. Pincus, J. Mietus, and L. A. Lipsitz, Genderand age-related differences in heart rate dynamics: are women more complex than men?, J. Am. Coll. Cardiol, vol.24, pp.90177-90182, 1994.

J. Sabatier, P. Lanusse, P. Melchior, and A. Oustaloup, Fractional Order Differentiation and Robust Control Design: CRONE, H-infinity and Motion Control, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01707569

D. Saboul, V. Pialoux, and C. Hautier, The breathing effect of the LF/HF ratio in the heart rate variability measurements of athletes, Eur. J. Sport Sci, vol.14, issue.1, pp.282-288, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01883951

M. Sakaki, H. J. Yoo, L. Nga, T. Lee, J. F. Thayer et al., Heart rate variability is associated with amygdala functional connectivity with MPFC across younger and older adults, NeuroImage, vol.139, pp.44-52, 2016.

,

Y. Santiago-espada, The Multi-Attribute Task Battery II (MATB-II) software for human performance and workload research : a user's guide, 2011.

N. Scafetta, L. Griffin, and B. J. West, Hölder exponent spectra for human gait, Phys. Stat. Mech. Its Appl, vol.328, issue.03, pp.527-529, 2003.

J. D. Schaafsma, N. Giladi, Y. Balash, A. L. Bartels, T. Gurevich et al., Gait dynamics in Parkinson's disease: relationship to Parkinsonian features, falls and response to levodopa, J. Neurol. Sci, vol.212, pp.104-111, 2003.

D. T. Schmitt and P. C. Ivanov, Fractal scale-invariant and nonlinear properties of cardiac dynamics remain stable with advanced age: a new mechanistic picture of cardiac control in healthy elderly, Am. J. Physiol. -Regul. Integr. Comp. Physiol, vol.293, pp.1923-1937, 2007.

L. Schmitt, J. Regnard, and G. P. Millet, Monitoring Fatigue Status with HRV Measures in Elite Athletes: An Avenue Beyond RMSSD?, Front. Physiol, vol.6, 2015.

L. Seifert, J. Komar, F. Crettenand, and G. Millet, Coordination Pattern Adaptability: Energy Cost of Degenerate Behaviors, PLoS ONE, vol.9, 2014.
URL : https://hal.archives-ouvertes.fr/hal-02364561

F. Shaffer, R. Mccraty, and C. L. Zerr, A healthy heart is not a metronome: an integrative review of the heart's anatomy and heart rate variability, Front. Psychol, vol.5, 2014.

F. W. Skibniewski, ?. Dziuda, P. M. Baran, M. K. Krej, S. Guzowski et al., Preliminary Results of the LF/HF Ratio as an Indicator for Estimating Difficulty Level of Flight Tasks, Aerosp. Med. Hum. Perform, vol.86, pp.518-523, 2015.

R. Sleimen-malkoun, J. Temprado, and S. L. Hong, Aging induced loss of complexity and dedifferentiation: consequences for coordination dynamics within and between brain, muscular and behavioral levels, Front. Aging Neurosci, vol.6, p.140, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01785469

M. Solcà, R. Ronchi, J. Bello-ruiz, T. Schmidlin, B. Herbelin et al., Heartbeat-enhanced immersive virtual reality to treat complex regional pain syndrome, Neurology, vol.91, pp.479-489, 2018.

R. M. Spencer, H. N. Zelaznik, J. Diedrichsen, and R. B. Ivry, Disrupted timing of discontinuous but not continuous movements by cerebellar lesions, Science, vol.300, pp.1437-1439, 2003.

N. Stergiou and L. M. Decker, Human movement variability, nonlinear dynamics, and pathology: is there a connection?, Hum. Mov. Sci, vol.30, pp.869-888, 2011.

J. Sweller, Cognitive load theory, learning difficulty, and instructional design, Learn. Instr, vol.4, pp.295-312, 1994.

J. Sweller, Cognitive load during problem solving: Effects on learning, Cogn. Sci, vol.12, pp.90023-90030, 1988.

K. Taguchi, Spectral analysis of the movement of the Center of Gravity in vertiginous and ataxic patients, Agressologie, pp.69-70, 1977.

M. Takahashi and H. Arito, Effects of single and repeated cognitive tasks on autonomic balance as observed by an analysis of R-R intervals, Eur. J. Appl. Physiol, vol.72, pp.316-322, 1996.

K. Tanaka and A. R. Hargens, Wavelet packet transform for R-R interval variability, Med. Eng. Phys, vol.26, pp.313-319, 2004.

,

K. Tanimoto, M. Anan, T. Sawada, M. Takahashi, and K. Shinkoda, The effects of altering attentional demands of gait control on the variability of temporal and kinematic parameters, Gait Posture, vol.47, pp.57-61, 2016.

,

M. P. Tarvainen, P. O. Ranta-aho, and P. A. Karjalainen, An advanced detrending method with application to HRV analysis, IEEE Trans. Biomed. Eng, vol.49, pp.172-175, 2002.

F. B. Tatom, The relationship between fractional calculus and fractals, Fractals 03, pp.217-229, 1995.

P. Terrier and O. Dériaz, Persistent and anti-persistent pattern in stride-to-stride variability of treadmill walking: influence of rhythmic auditory cueing, Hum. Mov. Sci, vol.31, pp.1585-1597, 2012.

P. Terrier, V. Turner, and Y. Schutz, GPS analysis of human locomotion: further evidence for long-range correlations in stride-to-stride fluctuations of gait parameters, Hum. Mov. Sci, vol.24, pp.97-115, 2005.

,

J. Thayer, E. Ruiz-padial, A. Hansen, and B. Johnsen, Autonomic nervous system activity and its relationship to attention and working memory, Int. J. Psychophysiol, vol.54, issue.1-2, p.19, 2004.

J. F. Thayer, F. Ahs, M. Fredrikson, J. J. Sollers, and T. D. Wager, 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, vol.36, pp.747-756, 2012.

J. F. Thayer and J. F. Brosschot, Psychosomatics and psychopathology: looking up and down from the brain, Psychoneuroendocrinology, vol.30, pp.1050-1058, 2005.

J. F. Thayer and R. D. Lane, Claude Bernard and the heart-brain connection: further elaboration of a model of neurovisceral integration, Neurosci. Biobehav. Rev, vol.33, pp.81-88, 2009.

J. F. Thayer and R. D. Lane, The role of vagal function in the risk for cardiovascular disease and mortality, Biol. Psychol, vol.74, pp.224-242, 2007.

,

J. F. Thayer and G. J. Siegle, Neurovisceral integration in cardiac and emotional regulation, IEEE Eng. Med. Biol. Mag. Q. Mag. Eng. Med. Biol. Soc, vol.21, pp.24-29, 2002.

T. Thedon, K. Mandrick, M. Foissac, D. Mottet, and S. Perrey, Degraded postural performance after muscle fatigue can be compensated by skin stimulation, Gait Posture, vol.33, pp.686-689, 2011.

R. J. Thomas, J. E. Mietus, C. Peng, and A. L. Goldberger, An electrocardiogrambased technique to assess cardiopulmonary coupling during sleep, Sleep, vol.28, pp.1151-1161, 2005.

J. Thome, M. Densmore, P. A. Frewen, M. C. Mckinnon, J. Théberge et al., Desynchronization of autonomic response and central autonomic network connectivity in posttraumatic stress disorder, Hum. Brain Mapp, vol.38, pp.27-40, 2017.

,

G. Tononi, O. Sporns, and G. M. Edelman, Measures of degeneracy and redundancy in biological networks, Proc. Natl. Acad. Sci. 96, pp.3257-3262, 1999.

N. Toosizadeh, J. Mohler, C. Wendel, and B. Najafi, Influences of Frailty Syndrome on Open-loop and Closed-loop Postural Control Strategy, Gerontology, vol.61, pp.51-60, 2015.

K. Torre, R. Balasubramaniam, and D. Delignières, Oscillating in synchrony with a metronome: serial dependence, limit cycle dynamics, and modeling, Motor Control, vol.14, pp.323-343, 2010.

K. Torre and E. Wagenmakers, Theories and models for 1/f(beta) noise in human movement science, Hum. Mov. Sci, vol.28, pp.297-318, 2009.

,

A. Travaglini, C. Lamberti, J. Debie, and M. Ferri, Respiratory signal derived from eight-lead ECG, Comput. Cardiol, vol.25, pp.65-68, 1998.

G. Valenza, L. Citi, A. Lanatá, E. P. Scilingo, and R. Barbieri, Revealing Real-Time Emotional Responses: a Personalized Assessment based on, Heartbeat Dynamics. Sci, 2014.

G. Valenza, M. Nardelli, G. Bertschy, A. Lanata, and E. P. Scilingo, Mood states modulate complexity in heartbeat dynamics: A multiscale entropy analysis, EPL Europhys. Lett, vol.107, p.18003, 2014.

R. E. Van-emmerik and E. E. Van-wegen, On the functional aspects of variability in postural control, Exerc. Sport Sci. Rev, vol.30, pp.177-183, 2002.

G. C. Van-orden, J. G. Holden, and M. T. Turvey, Self-organization of cognitive performance, J. Exp. Psychol. Gen, vol.132, pp.331-350, 2003.

J. Verghese, M. Robbins, R. Holtzer, M. Zimmerman, C. Wang et al., Gait dysfunction in mild cognitive impairment syndromes, J. Am. Geriatr. Soc, vol.56, pp.1244-1251, 2008.

M. B. Wallén, D. Hasson, T. Theorell, B. Canlon, and W. Osika, Possibilities and limitations of the Polar RS800 in measuring heart rate variability at rest, Eur. J. Appl. Physiol, vol.112, pp.1153-1165, 2012.

T. Warlop, C. Detrembleur, B. Bollens, G. Stoquart, F. Crevecoeur et al., Temporal organization of stride duration variability as a marker of gait instability in Parkinson's disease, J. Rehabil. Med, vol.48, pp.865-871, 2016.

T. Warlop, C. Detrembleur, G. Stoquart, T. Lejeune, and A. Jeanjean, Gait Complexity and Regularity Are Differently Modulated by Treadmill Walking in Parkinson's Disease and Healthy Population, Front. Physiol, vol.9, 2018.

T. B. Warlop, B. Bollens, F. Crevecoeur, C. Detrembleur, and T. M. Lejeune, Dynamics of revolution time variability in cycling pattern: voluntary intent can alter the long-range autocorrelations, Ann. Biomed. Eng, vol.41, pp.1604-1612, 2013.

P. M. Wayne, B. J. Gow, M. D. Costa, C. Peng, L. A. Lipsitz et al., Complexity-Based Measures Inform Effects of Tai Chi Training on Standing Postural Control: Cross-Sectional and Randomized Trial Studies, PloS One, vol.9, 2014.

P. M. Wayne, J. M. Hausdorff, M. Lough, B. J. Gow, L. Lipsitz et al., Tai Chi Training may Reduce Dual Task Gait Variability, a Potential Mediator of Fall Risk, in Healthy Older Adults: Cross-Sectional and Randomized Trial Studies, Front. Hum. Neurosci, vol.9, 2015.

P. M. Wayne, B. Manor, V. Novak, M. D. Costa, J. M. Hausdorff et al., A systems biology approach to studying Tai Chi, physiological complexity and healthy aging: design and rationale of a pragmatic randomized controlled trial, Contemp. Clin. Trials, vol.34, pp.21-34, 2013.

Q. Wei, D. Liu, K. Wang, Q. Liu, M. F. Abbod et al., Multivariate Multiscale Entropy Applied to Center of Pressure Signals Analysis: An Effect of Vibration Stimulation of Shoes, Entropy, vol.14, pp.2157-2172, 2012.

J. N. Weiss, L. Yang, and Z. Qu, Systems biology approaches to metabolic and cardiovascular disorders: network perspectives of cardiovascular metabolism, J. Lipid Res, vol.47, pp.2355-2366, 2006.

A. T. Welford, Stress and achievement1, Aust. J. Psychol, vol.17, pp.1-11, 1965.

B. J. West and P. Grigolini, Complex Webs Anticipating the Improbable, 2011.

B. J. West and M. F. Shlesinger, On the Ubiquity of 1/f Noise, Int. J. Mod. Phys. B, vol.3, pp.795-819, 1989.

J. Whitacre and A. Bender, Degeneracy: a design principle for achieving robustness and evolvability, J. Theor. Biol, vol.263, pp.143-153, 2010.

,

J. M. Whitacre, Degeneracy: a link between evolvability, robustness and complexity in biological systems, Theor. Biol. Med. Model, vol.7, 2010.

D. Widjaja, A. Caicedo, E. Vlemincx, I. V. Diest, and S. V. Huffel, Separation of Respiratory Influences from the Tachogram: A Methodological Evaluation, PLOS ONE, vol.9, 2014.

D. Widjaja, J. Taelman, S. Vandeput, M. A. Braeken, R. A. Otte et al., ECG-derived respiration: Comparison and new measures for respiratory variability, Computing in Cardiology. Presented at the 2010 Computing in Cardiology, pp.149-152, 2010.

D. Widjaja, E. Vlemincx, and S. Van-huffel, Stress classification by separation of respiratory modulations in heart rate variability using orthogonal subspace projection, Conf. Proc. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. IEEE Eng. Med. Biol. Soc. Annu. Conf, pp.6123-6126, 2013.

,

M. L. Wijnants, A Review of Theoretical Perspectives in Cognitive Science on the Presence of Scaling in Coordinated Physiological and Cognitive Processes, 2014.

J. Nonlinear-dyn,

A. M. Wing, The Long and Short of Timing in Response Sequences, Advances in Psychology, Tutorials in Motor Behavior, pp.61963-61972, 1980.

A. M. Wing and A. B. Kristofferson, The timing of interresponse intervals, Percept. Psychophys, vol.13, pp.455-460, 1973.

S. W. Wong, N. Massé, D. S. Kimmerly, R. S. Menon, and J. K. Shoemaker, Ventral medial prefrontal cortex and cardiovagal control in conscious humans, NeuroImage, vol.35, pp.698-708, 2007.

M. A. Woo, W. G. Stevenson, D. K. Moser, R. B. Trelease, and R. M. Harper, Patterns of beat-to-beat heart rate variability in advanced heart failure, Am. Heart J, vol.123, pp.704-710, 1992.

B. Wu, F. Hou, Z. Yao, J. Niu, and W. Huang, Using Physiological Parameters to Evaluate Operator's Workload in Manual Controlled Rendezvous and Docking (RVD), Digital Human Modeling, Lecture Notes in Computer Science. Presented at the International Conference on Digital Human Modeling, pp.426-435, 2011.

S. Wu, C. Wu, S. Lin, K. Lee, and C. Peng, Analysis of complex time series using refined composite multiscale entropy, Phys. Lett. A, vol.378, pp.1369-1374, 2014.

J. M. Yentes, N. Hunt, K. K. Schmid, J. P. Kaipust, D. Mcgrath et al., The appropriate use of approximate entropy and sample entropy with short data sets, Ann. Biomed. Eng, vol.41, pp.349-365, 2013.

G. Yogev-seligmann, J. M. Hausdorff, and N. Giladi, The role of executive function and attention in gait, Mov. Disord. Off. J. Mov. Disord. Soc, vol.23, pp.329-342, 2008.

H. Young and D. Benton, We should be using nonlinear indices when relating heartrate dynamics to cognition and mood, Sci. Rep, vol.5, 2015.

V. M. Zatsiorsky and M. Duarte, Rambling and trembling in quiet standing, Motor Control, vol.4, pp.185-200, 2000.

H. N. Zelaznik, R. M. Spencer, and R. B. Ivry, Dissociation of explicit and implicit timing in repetitive tapping and drawing movements, J. Exp. Psychol. Hum. Percept. Perform, vol.28, pp.575-588, 2002.

J. Zhou, D. Habtemariam, I. Iloputaife, L. A. Lipsitz, and B. Manor, The Complexity of Standing Postural Sway Associates with Future Falls in Community-Dwelling Older Adults: The MOBILIZE Boston Study, Sci. Rep, 2017.

J. Zhou, B. Manor, D. Liu, K. Hu, J. Zhang et al., The complexity of standing postural control in older adults: a modified detrended fluctuation analysis based upon the empirical mode decomposition algorithm, PloS One, vol.8, 2013.

K. Zu?ewicz, A. Saulewicz, M. Konarska, and Z. Kaczorowski, Heart rate variability and motion sickness during forklift simulator driving, Int. J. Occup. Saf. Ergon. JOSE, vol.17, pp.403-410, 2011.

F. Florent, . Maïlys, . Yannick, . Bruno, A. Clément et al.,

, Merci aussi aux anciens des Mines, particulièrement à ceux qui m'ont montré que faire une thèse après une école d'ingénieur avait du sens et qui ont sans le savoir ranimé mon intérêt pour la science, Paul, Pierre, et Pierrick, mais aussi à tous les autres qui savent puiser dans une absurdité sans nom pour me faire rire malgré moi : merci Simon

, Merci à mes parents de m'avoir soutenu quoi qu'il arrive, à mon frère de m'avoir vidé la science de la tête pour mieux la remplir de bière et à ma marraine de n'avoir jamais abandonné l'idée de me faire faire de la science

M. Finalement-À-amanda, qui a toujours été là, m'a porté et supporté dans les moments les plus difficile