K. Winter, L. H. Metz, J. P. Kuska, and B. Frerich, Characteristic Quantities of Microvascular Structures in CLSM Volume Datasets, IEEE Transactions on Medical Imaging, vol.26, issue.8, pp.1103-1114, 2007.
DOI : 10.1109/TMI.2007.900379

D. Gil, O. Rodriguez-leor, P. Radeva, and J. Mauri, Myocardial Perfusion Characterization From Contrast Angiography Spectral Distribution, IEEE Transactions on Medical Imaging, vol.27, issue.5, pp.641-649, 2008.
DOI : 10.1109/TMI.2007.912814

O. Friman, M. Hindennach, C. Kühnel, and H. O. Peitgen, Multiple hypothesis template tracking of small 3D vessel structures, Medical Image Analysis, vol.14, issue.2, pp.160-171, 2010.
DOI : 10.1016/j.media.2009.12.003

E. M. Kohner, The effect of diabetic control on diabetic retinopathy, Eye, vol.94, issue.2, pp.309-311, 1993.
DOI : 10.1136/bmj.305.6855.678

F. Jung, G. Pindur, P. Ohlmann, G. Spitzer, R. Sternitzky et al., Microcirculation in hypertensive patients, Biorheology, vol.50, pp.241-255, 2013.

A. L. Herrick, Vascular function in systemic sclerosis, Current Opinion in Rheumatology, vol.12, issue.6, pp.527-533, 2000.
DOI : 10.1097/00002281-200011000-00009

F. M. Wigley, Vascular Disease in Scleroderma, Clinical Reviews in Allergy & Immunology, vol.34, issue.Suppl 5, pp.150-175, 2009.
DOI : 10.1007/s12016-008-8106-x

M. Roustit and J. L. Cracowski, Non-invasive Assessment of Skin Microvascular Function in Humans: An Insight Into Methods, Microcirculation, vol.37, issue.Suppl. 4, pp.47-64, 2012.
DOI : 10.1111/j.1549-8719.2011.00129.x
URL : https://hal.archives-ouvertes.fr/inserm-00767057

A. Humeau-heurtier, E. Guerreschi, P. Abraham, and G. Mahé, Relevance of Laser Doppler and Laser Speckle Techniques for Assessing Vascular Function: State of the Art and Future Trends, IEEE Transactions on Biomedical Engineering, vol.60, issue.3, pp.659-666, 2013.
DOI : 10.1109/TBME.2013.2243449
URL : https://hal.archives-ouvertes.fr/hal-00845954

M. D. Stern, In vivo evaluation of microcirculation by coherent light scattering, Nature, vol.265, issue.5495, pp.56-58, 1975.
DOI : 10.1038/254056a0

I. Fredriksson, C. Fors, J. R. Johansson, R. Bonner, and . Nossal, Laser Dopper flowmetry -a theoretical framework Model for laser Doppler measurements of blood flow in tissue, Appl. Opt, vol.20, pp.2097-2107, 1981.

M. Roustit, S. Blaise, C. Millet, and J. L. Cracowski, Reproducibility and methodological issues of skin post-occlusive and thermal hyperemia assessed by single-point laser Doppler flowmetry, Microvascular Research, vol.79, issue.2, pp.102-108, 2010.
DOI : 10.1016/j.mvr.2010.01.001

M. Roustit, C. Millet, S. Blaise, B. Dufournet, and J. L. Cracowski, Excellent reproducibility of laser speckle contrast imaging to assess skin microvascular reactivity, Microvascular Research, vol.80, issue.3, pp.505-511, 2010.
DOI : 10.1016/j.mvr.2010.05.012

T. J. Essex and P. O. Byrne, A laser Doppler scanner for imaging blood flow in skin, Journal of Biomedical Engineering, vol.13, issue.3, pp.189-194, 1991.
DOI : 10.1016/0141-5425(91)90125-Q

K. Wardell, A. Jakobsson, and G. E. Nilsson, Laser Doppler perfusion imaging by dynamic light scattering, IEEE Transactions on Biomedical Engineering, vol.40, issue.4, pp.309-316, 1993.
DOI : 10.1109/10.222322

A. Serov, W. Steenbergen, and F. De-mul, Laser Doppler perfusion imaging with a complimentary metal oxide semiconductor image sensor, Optics Letters, vol.27, issue.5, pp.300-302, 2002.
DOI : 10.1364/OL.27.000300

A. Serov and T. Lasser, High-speed laser Doppler perfusion imaging using an integrating CMOS image sensor, Optics Express, vol.13, issue.17, pp.6416-6428, 2005.
DOI : 10.1364/OPEX.13.006416

A. Serov, B. Steinacher, and T. Lasser, Full-field laser Doppler perfusion imaging and monitoring with an intelligent CMOS camera, Optics Express, vol.13, issue.10, pp.3681-3689, 2005.
DOI : 10.1364/OPEX.13.003681

M. Draijer, E. Hondebrink, T. Van-leeuwen, and W. Steenbergen, Twente Optical Perfusion Camera: system overview and performance for video rate laser Doppler perfusion imaging, Optics Express, vol.17, issue.5, pp.3211-3225, 2009.
DOI : 10.1364/OE.17.003211.m004

M. Leutenegger, E. Martin-williams, P. Harbi, T. Thacher, W. Raffoul et al., Real-time full field laser Doppler imaging, Biomedical Optics Express, vol.2, issue.6, pp.1470-1477, 2011.
DOI : 10.1364/BOE.2.001470.m001
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3114216

D. He, H. C. Nguyen, B. R. Hayes-gill, Y. Zhu, J. A. Crowe et al., 64??64 pixel smart sensor array for laser Doppler blood flow imaging, Optics Letters, vol.37, issue.15, pp.3060-3062, 2012.
DOI : 10.1364/OL.37.003060.m001

D. He, H. C. Nguyen, B. R. Hayes-gill, Y. Zhu, J. A. Crowe et al., Laser Doppler Blood Flow Imaging Using a CMOS Imaging Sensor with On-Chip Signal Processing, Sensors, vol.13, issue.9, pp.12632-12647, 2013.
DOI : 10.3390/s130912632

P. Harbi and T. Thacher, Body mapping of human cutaneous microcirculatory perfusion using a real-time laser Doppler imager, Diabetes and Vascular Disease Research, vol.2, issue.6, pp.187-190, 2013.
DOI : 10.1177/1479164112452738

A. Ponticorvo and A. K. Dunn, How to Build a Laser Speckle Contrast Imaging (LSCI) System to Monitor Blood Flow, Journal of Visualized Experiments, vol.45, issue.45, 2004.
DOI : 10.3791/2004

L. M. Richards, S. M. Kazmi, J. L. Davis, K. E. Olin, and A. K. Dunn, Low-cost laser speckle contrast imaging of blood flow using a webcam, Biomedical Optics Express, vol.4, issue.10, pp.2269-2283, 2013.
DOI : 10.1364/BOE.4.002269

M. L. Thinh, J. S. Paul, H. Al-nashash, A. Tan, A. R. Luft et al., New insights into image processing of cortical blood flow monitors using laser speckle imaging, IEEE Trans. Med. Imaging, vol.26, pp.833-842, 2007.

W. J. Tom, A. Ponticorvo, and A. K. Dunn, Efficient Processing of Laser Speckle Contrast Images, IEEE Transactions on Medical Imaging, vol.27, issue.12, pp.1728-1738, 2008.
DOI : 10.1109/TMI.2008.925081

J. Wang, Y. Wang, B. Li, D. Feng, J. Lu et al., Dual-wavelength laser speckle imaging to simultaneously access blood flow, blood volume, and oxygenation using a color CCD camera, Optics Letters, vol.38, issue.18, pp.3690-3692, 2013.
DOI : 10.1364/OL.38.003690

S. M. Narayan and J. M. Smith, Spectral analysis of periodic fluctuations in electrocardiographic repolarization, IEEE Transactions on Biomedical Engineering, vol.46, issue.2, pp.203-212, 1999.
DOI : 10.1109/10.740883

S. Bricq, G. Mahé, D. Rousseau, A. Humeau-heurtier, F. Chapeau-blondeau et al., Assessing spatial resolution versus sensitivity from laser speckle contrast imaging: application to frequency analysis, Medical & Biological Engineering & Computing, vol.31, issue.12, pp.1017-1023, 2012.
DOI : 10.1007/s11517-012-0919-3
URL : https://hal.archives-ouvertes.fr/hal-00796651

G. Soloperto, F. Conversano, A. Greco, E. Casciaro, R. Franchini et al., Advanced spectral analyses for real-time automatic echographic tissue-typing of simulated tumor masses at different compression stages, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, vol.59, issue.12, pp.2692-2701, 2012.
DOI : 10.1109/TUFFC.2012.2510

R. Maniewski, P. Leger, P. Lewandowski, A. Liebert, P. Bendayan et al., Spectral analysis of laser- Doppler perfusion signal measured during thermal test, Technol. Health Care, vol.7, pp.163-169, 1999.

R. Weidenhagen, A. Wichmann, H. G. Koebe, L. Lauterjung, H. Fürst et al., Analysis of Laser Doppler Flux Motion in Man: Comparison of Autoregressive Modelling and Fast Fourier Transformation, International Journal of Microcirculation, vol.16, issue.2, pp.64-73, 1996.
DOI : 10.1159/000179152

A. Stefanovska, M. Bracic, and H. D. Kvernmo, Wavelet analysis of oscillations in the peripheral blood circulation measured by laser Doppler technique, IEEE Transactions on Biomedical Engineering, vol.46, issue.10, pp.1230-1239, 1999.
DOI : 10.1109/10.790500

N. E. Huang, Z. Shen, S. R. Long, M. C. Wu, H. H. Shih et al., The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis, Proc. R. Soc. London A, pp.903-995, 1998.
DOI : 10.1098/rspa.1998.0193

P. Flandrin, P. Goncalves, and G. Rilling, Detrending and denoising with Empirical Mode Decompositions, pp.1581-1584, 2004.
URL : https://hal.archives-ouvertes.fr/inria-00570614

T. Pereira, P. Vaz, T. Oliveira, I. Santos, H. C. Pereira et al., Empirical mode decomposition for self-mixing Doppler signals of hemodynamic optical probes, Physiological Measurement, vol.34, issue.3, pp.377-390, 2013.
DOI : 10.1088/0967-3334/34/3/377

Z. Wu and N. E. Huang, ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOISE-ASSISTED DATA ANALYSIS METHOD, Advances in Adaptive Data Analysis, vol.01, issue.01, pp.1-41, 2009.
DOI : 10.1142/S1793536909000047

M. E. Torres, M. A. Colominas, G. Schlotthauer, and P. Flandrin, A complete ensemble empirical mode decomposition with adaptive noise, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.4144-4147, 2011.
DOI : 10.1109/ICASSP.2011.5947265

P. Abraham, M. Bourgeau, M. Camo, A. Humeau-heurtier, S. Durand et al., Effect of skin temperature on skin endothelial function assessment, Microvascular Research, vol.88, pp.56-60, 2013.
DOI : 10.1016/j.mvr.2013.04.005
URL : https://hal.archives-ouvertes.fr/hal-00845913

G. Mahe, S. Durand, A. Humeau, G. Leftheriotis, P. Rousseau et al., Air movements interfere with laser speckle contrast imaging recordings, Lasers in Medical Science, vol.12, issue.5, pp.1073-1076, 2011.
DOI : 10.1007/s10103-011-1015-x
URL : https://hal.archives-ouvertes.fr/hal-00846237

G. Mahe, F. Haj-yassin, P. Rousseau, A. Humeau, S. Durand et al., Distance between laser head and skin does not influence skin blood flow values recorded by laser speckle imaging, Microvascular Research, vol.82, issue.3, pp.439-442, 2011.
DOI : 10.1016/j.mvr.2011.06.014
URL : https://hal.archives-ouvertes.fr/hal-00857621

P. Rousseau, G. Mahé, F. Haj-yassin, S. Durand, A. Humeau et al., Increasing the ???region of interest??? and ???time of interest???, both reduce the variability of blood flow measurements using laser speckle contrast imaging, Microvascular Research, vol.82, issue.1, pp.88-91, 2011.
DOI : 10.1016/j.mvr.2011.03.009
URL : https://hal.archives-ouvertes.fr/hal-00857641

A. Humeau-heurtier, G. Mahé, S. Durand, D. Henrion, P. Abrahamheurtier et al., Laser speckle contrast imaging: multifractal analysis of data recorded in healthy subjects Linguistic analysis of laser speckle contrast images recorded at rest and during biological zero: comparison with laser Doppler flowmetry data, Med. Phys. IEEE Trans. Med. Imaging, vol.39, issue.32, pp.5849-5856, 2012.

A. Humeau-heurtier, G. Mahé, S. Durand, and P. Abraham, Multiscale Entropy Study of Medical Laser Speckle Contrast Images, IEEE Transactions on Biomedical Engineering, vol.60, issue.3, pp.872-879, 2013.
DOI : 10.1109/TBME.2012.2208642
URL : https://hal.archives-ouvertes.fr/hal-00845949

P. Flandrin, G. Rilling, and P. Goncalves, Empirical Mode Decomposition as a Filter Bank, IEEE Signal Processing Letters, vol.11, issue.2, pp.112-114, 2004.
DOI : 10.1109/LSP.2003.821662
URL : https://hal.archives-ouvertes.fr/inria-00570615

N. E. Huang, M. C. Wu, S. R. Long, S. S. Shen, W. Qu et al., A confidence limit for the empirical mode decomposition and Hilbert spectral analysis, Proc. R. Soc. London A, pp.2317-2345, 2003.
DOI : 10.1098/rspa.2003.1123

G. Rilling, P. Flandrin, and P. Conçalvès, On Empirical Mode Decomposition and its Algorithms, Nonlinear Signal and Image Processing NSIP-03, 2003.
URL : https://hal.archives-ouvertes.fr/inria-00570628

M. A. Colominas, G. Schlotthauer, M. E. Torres, and P. Flandrin, NOISE-ASSISTED EMD METHODS IN ACTION, Advances in Adaptive Data Analysis, vol.04, issue.04, pp.1250025-1250026, 2012.
DOI : 10.1142/S1793536912500252

P. Kvandal, S. A. Landsverk, A. Bernjak, A. Stefanovska, H. D. Kvernmo et al., Low-frequency oscillations of the laser Doppler perfusion signal in human skin, Microvascular Research, vol.72, issue.3, pp.120-127, 2006.
DOI : 10.1016/j.mvr.2006.05.006

A. Bernjak, P. B. Clarkson, P. V. Mcclintock, and A. Stefanovska, Low-frequency blood flow oscillations in congestive heart failure and after ??1-blockade treatment, Microvascular Research, vol.76, issue.3, pp.224-232, 2008.
DOI : 10.1016/j.mvr.2008.07.006

A. Humeau, J. L. Saumet, and J. P. , Use of Wavelets to Accurately Determine Parameters of Laser Doppler Reactive Hyperemia, Microvascular Research, vol.60, issue.2, pp.141-148, 2000.
DOI : 10.1006/mvre.2000.2258

A. Humeau, A. Koitka, J. L. Saumet, and J. P. , Wavelet de-noising of laser Doppler reactive hyperemia signals to diagnose peripheral arterial occlusive diseases, IEEE Transactions on Biomedical Engineering, vol.49, issue.11, pp.1369-1371, 2002.
DOI : 10.1109/TBME.2002.804583

A. Bernjak, G. A. Deitrick, W. A. Bauman, A. Stefanovska, and J. Tuckman, Basal sympathetic activity to the microcirculation in tetraplegic man revealed by wavelet transform of laser Doppler flowmetry, Microvascular Research, vol.81, issue.3, pp.313-318, 2011.
DOI : 10.1016/j.mvr.2011.01.005

Y. K. Jan, B. Lee, F. Liao, and R. D. Foreman, Local cooling reduces skin ischemia under surface pressure in rats: an assessment by wavelet analysis of laser Doppler blood flow oscillations, Physiological Measurement, vol.33, issue.10, pp.1733-1745, 2012.
DOI : 10.1088/0967-3334/33/10/1733

S. Assous, A. Humeau, and J. P. , Empirical Mode Decomposition Applied to Laser Doppler Flowmetry Signals : Diagnosis Approach, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, pp.1232-1235, 2005.
DOI : 10.1109/IEMBS.2005.1616647

A. Humeau, W. Trzepizur, D. Rousseau, F. Chapeau-blondeau, and P. Abraham, Localization of transient signal high-values in laser Doppler flowmetry signals with an empirical mode decomposition, Medical Physics, vol.11, issue.1, pp.18-21, 2009.
DOI : 10.1109/LSP.2003.821662
URL : https://hal.archives-ouvertes.fr/hal-00858686

F. Liao and Y. K. Jan, Enhanced phase synchronization of blood flow oscillations between heated and adjacent non-heated sacral skin, Medical & Biological Engineering & Computing, vol.73, issue.6 Pt 2, pp.1059-1070, 2012.
DOI : 10.1007/s11517-012-0948-y

M. H. Lee, K. K. Shyu, P. L. Lee, C. M. Huang, and Y. J. Chiu, Hardware Implementation of EMD Using DSP and FPGA for Online Signal Processing, IEEE Transactions on Industrial Electronics, vol.58, issue.6, pp.2473-2481, 2011.
DOI : 10.1109/TIE.2010.2060454

Y. H. Wang, C. H. Yeh, H. W. Young, K. Hu, and M. T. Lo, On the computational complexity of the empirical mode decomposition algorithm, Physica A: Statistical Mechanics and its Applications, vol.400, pp.159-167, 2014.
DOI : 10.1016/j.physa.2014.01.020

W. Zhu, H. Zhao, D. Xiang, and X. Chen, A Flattest Constrained Envelope Approach for Empirical Mode Decomposition, PLoS ONE, vol.5, issue.1, 2013.
DOI : 10.1371/journal.pone.0061739.t003

K. Zeng and M. X. He, A simple boundary process technique for empirical mode decomposition, IEEE Int. Symp. Geoscience and Remote Sensing, vol.6, pp.4258-4261