19 Complexity-Based Analysis of Microvascular Blood …
307
10. A. Bollinger, A. Yanar, I. Hoffman, U.K. Franzeck, Is high frequency fluxmotion due to respiration or to vasomotion activity?, in Progress in Applied Micrcirculation, ed. by M. Ke (Karger,
Basel, 1993), pp. 52–55
11. J.D. Briers, Laser Doppler, speckle and related techniques for blood perfusion mapping and
imaging. Physiol. Meas. 22(4), R35–R66 (2001)
12. K. Bräuer, M. Hahn, Nonlinear analysis of blood flux in human vessels. Phys. Med. Biol. 44(7),
1719–1733 (1999)
13. J.T. Butcher, A.G. Goodwill, S.C. Stanley, J.C. Frisbee, Blunted temporal activity of microvascular perfusion heterogeneity in metabolic syndrome: a new attractor for peripheral vascular
disease? Am. J. Physiol. Heart Circ. Physiol. 304(4), H547–H558 (2013)
14. D. Carey, M. Thanaj, T. Davies, E. Gilbert-Kawai, K. Mitchell, D.Z.H. Levett et al., Enhanced
flow-motion complexity of skin microvascular perfusion in Sherpas and lowlanders during
ascent to high altitude. Sci. Rep. 9 (2019)
15. S. Cerutti, D. Hoyer, A. Voss, Multiscale, multiorgan and multivariate complexity analyses of
cardiovascular regulation. Philos. Trans. R. Soc. A 2009(367), 1337–1358 (1892)
16. P.H. Charlton, L. Camporota, J. Smith, M. Nandi, M. Christie, P.J. Aston et al. (eds.), Measurement of cardiovascular state using attractor reconstruction analysis, in 2015 23rd European
Signal Processing Conference (EUSIPCO), 31 Aug–4 Sept 2015
17. A. Chipperfield, M. Thanaj, G. Clough, Multi-scale, multi-domain analysis of microvascular
flow dynamics. Exp. Physiol. (2019)
18. A.J. Chipperfield, M. Thanaj, E. Scorletti, C.D. Byrne, G.F. Clough, Multi-domain analysis of
microvascular flow motion dynamics in NAFLD. Microcirculation 26(5) (2019)
19. G.F. Clough, K.Z. Kuliga, A.J. Chipperfield, Flow motion dynamics of microvascular
blood flow and oxygenation: evidence of adaptive changes in obesity and type 2 diabetes
mellitus/insulin resistance. Microcirculation 24(2) (2017)
20. A. Colantuoni, S. Bertuglia, M. Intaglietta, Quantitation of rhythmic diameter changes in
arterial microcirculation. Am. J. Physiol. 246(4 Pt 2), H508–H517 (1984)
21. A. Colantuoni, S. Bertuglia, M. Intaglietta, Microvascular vasomotion: origin of laser Doppler
flux motion. Int. J. Microcirc. Clin. Exp. 14(3), 151–158 (1994)
22. M. Costa, A.L. Goldberger, C.K. Peng, Multiscale entropy to distinguish physiologic and
synthetic RR time series. Comput. Cardiol. 29, 137–140 (2002)
23. M. Costa, A.L. Goldberger, C.K. Peng, Multiscale entropy analysis of complex physiologic
time series. Phys. Rev. Lett. 89(6) (2002)
24. J.L. Cracowski, M. Roustit, Current methods to assess human cutaneous blood flow: an updated
focus on laser-based-techniques. Microcirculation 23(5), 337–344 (2016)
25. D. De Backer, K. Donadello, D.O. Cortes, Monitoring the microcirculation. J. Clin. Monit.
Comput. 26(5), 361–366 (2012)
26. R. Fatouleh, V.G. Macefield, Cardiorespiratory coupling of sympathetic outflow in humans:
a comparison of respiratory and cardiac modulation of sympathetic nerve activity to skin and
muscle. Exp. Physiol. 98(9), 1327–1336 (2013)
27. E. Figueiras, M. Roustit, S. Semedo, L.F. Ferreira, J.L. Crascowski, A. Humeau, Sample entropy
of laser Doppler flowmetry signals increases in patients with systemic sclerosis. Microvasc.
Res. 82(2), 152–155 (2011)
28. A.J. Flammer, T. Anderson, D.S. Celermajer, M.A. Creager, J. Deanfield, P. Ganz et al., The
assessment of endothelial function: from research into clinical practice. Circulation 126(6),
753–767 (2012)
29. P. Flandrin, Time-Frequency/Time-Scale Analysis (Elsevier Science, 1998)
30. J.C. Frisbee, J.T. Butcher, S.J. Frisbee, I.M. Olfert, P.D. Chantler, L.E. Tabone et al., Increased
peripheral vascular disease risk progressively constrains perfusion adaptability in the skeletal
muscle microcirculation. Am. J. Physiol. Heart Circ. Physiol. 310(4), H488–H504 (2016)
31. P.T. Goedhart, M. Khalilzada, R. Bezemer, J. Merza, C. Ince, Sidestream Dark Field (SDF)
imaging: a novel stroboscopic LED ring-based imaging modality for clinical assessment of the
microcirculation. Opt. Express 15(23), 15101–15114 (2007)
307
10. A. Bollinger, A. Yanar, I. Hoffman, U.K. Franzeck, Is high frequency fluxmotion due to respiration or to vasomotion activity?, in Progress in Applied Micrcirculation, ed. by M. Ke (Karger,
Basel, 1993), pp. 52–55
11. J.D. Briers, Laser Doppler, speckle and related techniques for blood perfusion mapping and
imaging. Physiol. Meas. 22(4), R35–R66 (2001)
12. K. Bräuer, M. Hahn, Nonlinear analysis of blood flux in human vessels. Phys. Med. Biol. 44(7),
1719–1733 (1999)
13. J.T. Butcher, A.G. Goodwill, S.C. Stanley, J.C. Frisbee, Blunted temporal activity of microvascular perfusion heterogeneity in metabolic syndrome: a new attractor for peripheral vascular
disease? Am. J. Physiol. Heart Circ. Physiol. 304(4), H547–H558 (2013)
14. D. Carey, M. Thanaj, T. Davies, E. Gilbert-Kawai, K. Mitchell, D.Z.H. Levett et al., Enhanced
flow-motion complexity of skin microvascular perfusion in Sherpas and lowlanders during
ascent to high altitude. Sci. Rep. 9 (2019)
15. S. Cerutti, D. Hoyer, A. Voss, Multiscale, multiorgan and multivariate complexity analyses of
cardiovascular regulation. Philos. Trans. R. Soc. A 2009(367), 1337–1358 (1892)
16. P.H. Charlton, L. Camporota, J. Smith, M. Nandi, M. Christie, P.J. Aston et al. (eds.), Measurement of cardiovascular state using attractor reconstruction analysis, in 2015 23rd European
Signal Processing Conference (EUSIPCO), 31 Aug–4 Sept 2015
17. A. Chipperfield, M. Thanaj, G. Clough, Multi-scale, multi-domain analysis of microvascular
flow dynamics. Exp. Physiol. (2019)
18. A.J. Chipperfield, M. Thanaj, E. Scorletti, C.D. Byrne, G.F. Clough, Multi-domain analysis of
microvascular flow motion dynamics in NAFLD. Microcirculation 26(5) (2019)
19. G.F. Clough, K.Z. Kuliga, A.J. Chipperfield, Flow motion dynamics of microvascular
blood flow and oxygenation: evidence of adaptive changes in obesity and type 2 diabetes
mellitus/insulin resistance. Microcirculation 24(2) (2017)
20. A. Colantuoni, S. Bertuglia, M. Intaglietta, Quantitation of rhythmic diameter changes in
arterial microcirculation. Am. J. Physiol. 246(4 Pt 2), H508–H517 (1984)
21. A. Colantuoni, S. Bertuglia, M. Intaglietta, Microvascular vasomotion: origin of laser Doppler
flux motion. Int. J. Microcirc. Clin. Exp. 14(3), 151–158 (1994)
22. M. Costa, A.L. Goldberger, C.K. Peng, Multiscale entropy to distinguish physiologic and
synthetic RR time series. Comput. Cardiol. 29, 137–140 (2002)
23. M. Costa, A.L. Goldberger, C.K. Peng, Multiscale entropy analysis of complex physiologic
time series. Phys. Rev. Lett. 89(6) (2002)
24. J.L. Cracowski, M. Roustit, Current methods to assess human cutaneous blood flow: an updated
focus on laser-based-techniques. Microcirculation 23(5), 337–344 (2016)
25. D. De Backer, K. Donadello, D.O. Cortes, Monitoring the microcirculation. J. Clin. Monit.
Comput. 26(5), 361–366 (2012)
26. R. Fatouleh, V.G. Macefield, Cardiorespiratory coupling of sympathetic outflow in humans:
a comparison of respiratory and cardiac modulation of sympathetic nerve activity to skin and
muscle. Exp. Physiol. 98(9), 1327–1336 (2013)
27. E. Figueiras, M. Roustit, S. Semedo, L.F. Ferreira, J.L. Crascowski, A. Humeau, Sample entropy
of laser Doppler flowmetry signals increases in patients with systemic sclerosis. Microvasc.
Res. 82(2), 152–155 (2011)
28. A.J. Flammer, T. Anderson, D.S. Celermajer, M.A. Creager, J. Deanfield, P. Ganz et al., The
assessment of endothelial function: from research into clinical practice. Circulation 126(6),
753–767 (2012)
29. P. Flandrin, Time-Frequency/Time-Scale Analysis (Elsevier Science, 1998)
30. J.C. Frisbee, J.T. Butcher, S.J. Frisbee, I.M. Olfert, P.D. Chantler, L.E. Tabone et al., Increased
peripheral vascular disease risk progressively constrains perfusion adaptability in the skeletal
muscle microcirculation. Am. J. Physiol. Heart Circ. Physiol. 310(4), H488–H504 (2016)
31. P.T. Goedhart, M. Khalilzada, R. Bezemer, J. Merza, C. Ince, Sidestream Dark Field (SDF)
imaging: a novel stroboscopic LED ring-based imaging modality for clinical assessment of the
microcirculation. Opt. Express 15(23), 15101–15114 (2007)