19 Complexity-Based Analysis of Microvascular Blood …
309
52. F. Liao, Y.K. Jan, Using modified sample entropy to characterize aging-associated microvascular dysfunction. Front. Physiol. 7, 126 (2016)
53. F. Liao, D.W. Garrison, Y.K. Jan, Relationship between nonlinear properties of sacral skin blood
flow oscillations and vasodilatory function in people at risk for pressure ulcers. Microvasc. Res.
80(1), 44–53 (2010)
54. D. Low, H. Jones, N. Cable, L. Alexander, W. Kenney, Historical reviews of the assessment of
human cardiovascular function: interrogation and understanding of the control of skin blood
flow. Eur. J. Appl. Physiol. 120, 1–16 (2020)
55. R. Martini, A. Bagno, The wavelet analysis for the assessment of microvascular function with
the laser Doppler fluximetry over the last 20 years. Looking for hidden informations. Clin.
Hemorheol. Micro. 70(2), 213–229 (2018)
56. J.A. Morlet, E. Fourgeau, D. Glard, Wave propagation and sampling theory. Part 1: Complex
signals and scattering in multilayered media. Geophysics 47, 203–221 (1983)
57. D.M. Muris, A.J. Houben, A.A. Kroon, R.M. Henry, C.J. van der Kallen, S.J. Sep et al., Age,
waist circumference, and blood pressure are associated with skin microvascular flow motion:
the Maastricht study. J. Hypertens. (2014)
58. N. Nagaraj, K. Balasubramanian, Three perspectives on complexity: entropy, compression,
subsymmetry. Eur. Phys. J. Spec. Top. 226(15), 3251–3272 (2017)
59. N. Nagaraj, K. Balasubramanian, S. Dey, A new complexity measure for time series analysis
and classification. Eur. Phys. J. Spec. Top. 222(3–4), 847–860 (2013)
60. M. Nandi, J. Venton, P. Aston, A novel method to quantify arterial pulse waveform morphology:
attractor reconstruction for physiologists and clinicians. 39, 104008 (2018)
61. D. Narayana Dutt, S.M. Krishnan, Application of phase space technique to the analysis of
cardiovascular signals, in Proceedings of the First Joint BMES/EMBS Conference on Serving
Humanity, Advancing Technology, Atlanta, GA, 16–19 October 1999 (1999), p. 914
62. A.V. Oppenheim, R.W. Schafer, Discrete-Time Signal Processing (Pearson, Upper Saddle
River, 2010)
63. V.E. Papaioannou, I.G. Chouvarda, N.K. Maglaveras, I.A. Pneumatikos, Temperature variability analysis using wavelets and multiscale entropy in patients with systemic inflammatory
response syndrome, sepsis, and septic shock. Crit. Care 16(2), 15 (2012)
64. D. Parthimos, O. Schmiedel, J.N. Harvey, T.M. Griffith, Deterministic nonlinear features of
cutaneous perfusion are lost in diabetic subjects with neuropathy. Microvasc. Res. 82(1), 42–51
(2011)
65. M. Rossi, A. Carpi, F. Galetta, F. Franzoni, G. Santoro, The investigation of skin blood flowmotion: a new approach to study the microcirculatory impairment in vascular diseases? Biomed.
Pharmacother. 60(8), 437–442 (2006)
66. M. Rossi, A. Cupisti, M.C. Di, F. Galetta, G. Barsotti, G. Santoro, Blunted post-ischemic
increase of the endothelial skin blood flowmotion component as early sign of endothelial
dysfunction in chronic kidney disease patients. Microvasc. Res. 75(3), 315–322 (2008)
67. M. Roustit, J.L. Cracowski, Non-invasive assessment of skin microvascular function in humans:
an insight into methods. Microcirculation 19(1), 47–64 (2012)
68. M. Roustit, J.L. Cracowski, Assessment of endothelial and neurovascular function in human
skin microcirculation. Trends Pharmacol. Sci. 34(7), 373–384 (2013)
69. M. Roustit, S. Blaise, C. Millet, J.L. Cracowski, Reproducibility and methodological issues of
skin post-occlusive and thermal hyperemia assessed by single-point laser Doppler flowmetry.
Microvasc. Res. 79(2), 102–108 (2010)
70. M. Roustit, C. Millet, S. Blaise, B. Dufournet, J.L. Cracowski, Excellent reproducibility of
laser speckle contrast imaging to assess skin microvascular reactivity. Microvasc. Res. 80(3),
505–511 (2010)
71. E.G. Salerud, T. Tenland, G.E. Nilsson, P.A. Oberg, Rhythmical variations in human skin blood
flow. Int. J. Microcirc. Clin. Exp. 2(2), 91–102 (1983)
72. R. Sassi, S. Cerutti, F. Lombardi, M. Malik, H. Huikuri, C.-K. Peng et al., Advances in heart rate
variability signal analysis: joint position statement by the e-Cardiology ESC Working Group
and the European Heart Rhythm Association co-endorsed by the Asia Pacific Heart Rhythm
Society (2015)
309
52. F. Liao, Y.K. Jan, Using modified sample entropy to characterize aging-associated microvascular dysfunction. Front. Physiol. 7, 126 (2016)
53. F. Liao, D.W. Garrison, Y.K. Jan, Relationship between nonlinear properties of sacral skin blood
flow oscillations and vasodilatory function in people at risk for pressure ulcers. Microvasc. Res.
80(1), 44–53 (2010)
54. D. Low, H. Jones, N. Cable, L. Alexander, W. Kenney, Historical reviews of the assessment of
human cardiovascular function: interrogation and understanding of the control of skin blood
flow. Eur. J. Appl. Physiol. 120, 1–16 (2020)
55. R. Martini, A. Bagno, The wavelet analysis for the assessment of microvascular function with
the laser Doppler fluximetry over the last 20 years. Looking for hidden informations. Clin.
Hemorheol. Micro. 70(2), 213–229 (2018)
56. J.A. Morlet, E. Fourgeau, D. Glard, Wave propagation and sampling theory. Part 1: Complex
signals and scattering in multilayered media. Geophysics 47, 203–221 (1983)
57. D.M. Muris, A.J. Houben, A.A. Kroon, R.M. Henry, C.J. van der Kallen, S.J. Sep et al., Age,
waist circumference, and blood pressure are associated with skin microvascular flow motion:
the Maastricht study. J. Hypertens. (2014)
58. N. Nagaraj, K. Balasubramanian, Three perspectives on complexity: entropy, compression,
subsymmetry. Eur. Phys. J. Spec. Top. 226(15), 3251–3272 (2017)
59. N. Nagaraj, K. Balasubramanian, S. Dey, A new complexity measure for time series analysis
and classification. Eur. Phys. J. Spec. Top. 222(3–4), 847–860 (2013)
60. M. Nandi, J. Venton, P. Aston, A novel method to quantify arterial pulse waveform morphology:
attractor reconstruction for physiologists and clinicians. 39, 104008 (2018)
61. D. Narayana Dutt, S.M. Krishnan, Application of phase space technique to the analysis of
cardiovascular signals, in Proceedings of the First Joint BMES/EMBS Conference on Serving
Humanity, Advancing Technology, Atlanta, GA, 16–19 October 1999 (1999), p. 914
62. A.V. Oppenheim, R.W. Schafer, Discrete-Time Signal Processing (Pearson, Upper Saddle
River, 2010)
63. V.E. Papaioannou, I.G. Chouvarda, N.K. Maglaveras, I.A. Pneumatikos, Temperature variability analysis using wavelets and multiscale entropy in patients with systemic inflammatory
response syndrome, sepsis, and septic shock. Crit. Care 16(2), 15 (2012)
64. D. Parthimos, O. Schmiedel, J.N. Harvey, T.M. Griffith, Deterministic nonlinear features of
cutaneous perfusion are lost in diabetic subjects with neuropathy. Microvasc. Res. 82(1), 42–51
(2011)
65. M. Rossi, A. Carpi, F. Galetta, F. Franzoni, G. Santoro, The investigation of skin blood flowmotion: a new approach to study the microcirculatory impairment in vascular diseases? Biomed.
Pharmacother. 60(8), 437–442 (2006)
66. M. Rossi, A. Cupisti, M.C. Di, F. Galetta, G. Barsotti, G. Santoro, Blunted post-ischemic
increase of the endothelial skin blood flowmotion component as early sign of endothelial
dysfunction in chronic kidney disease patients. Microvasc. Res. 75(3), 315–322 (2008)
67. M. Roustit, J.L. Cracowski, Non-invasive assessment of skin microvascular function in humans:
an insight into methods. Microcirculation 19(1), 47–64 (2012)
68. M. Roustit, J.L. Cracowski, Assessment of endothelial and neurovascular function in human
skin microcirculation. Trends Pharmacol. Sci. 34(7), 373–384 (2013)
69. M. Roustit, S. Blaise, C. Millet, J.L. Cracowski, Reproducibility and methodological issues of
skin post-occlusive and thermal hyperemia assessed by single-point laser Doppler flowmetry.
Microvasc. Res. 79(2), 102–108 (2010)
70. M. Roustit, C. Millet, S. Blaise, B. Dufournet, J.L. Cracowski, Excellent reproducibility of
laser speckle contrast imaging to assess skin microvascular reactivity. Microvasc. Res. 80(3),
505–511 (2010)
71. E.G. Salerud, T. Tenland, G.E. Nilsson, P.A. Oberg, Rhythmical variations in human skin blood
flow. Int. J. Microcirc. Clin. Exp. 2(2), 91–102 (1983)
72. R. Sassi, S. Cerutti, F. Lombardi, M. Malik, H. Huikuri, C.-K. Peng et al., Advances in heart rate
variability signal analysis: joint position statement by the e-Cardiology ESC Working Group
and the European Heart Rhythm Association co-endorsed by the Asia Pacific Heart Rhythm
Society (2015)