310
M. Thanaj et al.
73. G. Schlotthauer, A. Humeau-Heurtier, J. Escudero, H.L. Rufiner, Measuring complexity of
biomedical signals. Complexity (2018)
74. S.S. Segal, Regulation of blood flow in the microcirculation. Microcirculation 12(1), 33–45
(2005)
75. Y. Shiogai, A. Stefanovska, P.V.E. McClintock, Nonlinear dynamics of cardiovascular ageing.
Phys. Rep. 488(2–3), 51–110 (2010)
76. A.E. Simms, J.F.R. Paton, A.M. Allen, A.E. Pickering, Is augmented central respiratorysympathetic coupling involved in the generation of hypertension? Resp. Physiol. Neurobiol.
174(1–2), 89–97 (2010)
77. D.W. Slaaf, H.H. Vrielink, G.J. Tangelder, R.S. Reneman, Effective diameter as a determinant of
local vascular resistance in presence of vasomotion. Am. J. Physiol. 255(5 Pt 2), H1240–H1243
(1988)
78. T. Soderstrom, A. Stefanovska, M. Veber, H. Svensson, Involvement of sympathetic nerve
activity in skin blood flow oscillations in humans. Am. J. Physiol. Heart Circ. Physiol. 284(5),
H1638–H1646 (2003)
79. A. Stefanovska, M. Bracic, H.D. Kvernmo, Wavelet analysis of oscillations in the peripheral
blood circulation measured by laser Doppler technique. IEEE Trans. Biomed. Eng. 46(10),
1230–1239 (1999)
80. H.A. Struijker-Boudier, A.E. Rosei, P. Bruneval, P.G. Camici, F. Christ, D. Henrion et al.,
Evaluation of the microcirculation in hypertension and cardiovascular disease. Eur. Heart J.
28(23), 2834–2840 (2007)
81. F. Takens, Detecting strange attractors in turbulence. Dynamical systems and turbulence,
Warwick 1980, in Lecture Notes in Mathematics (Springer, Berlin, 1981), pp. 366–381
82. A.V. Tankanag, A.A. Grinevich, T.V. Kirilina, G.V. Krasnikov, G.M. Piskunova, N.K. Chemeris,
Wavelet phase coherence analysis of the skin blood flow oscillations in human. Microvasc. Res.
95, 53–59 (2014)
83. M. Thanaj, A.J. Chipperfield, G.F. Clough, Analysis of microvascular blood flow and oxygenation: discrimination between two haemodynamic steady states using nonlinear measures and
multiscale analysis. Comp. Biol. Med. 102, 157–167 (2018)
84. M. Thanaj, A. Chipperfield, G. Clough, Attractor reconstruction analysis for blood flow signals.
Conf. Proc. IEEE Eng. Med. Biol. Soc. 2019, 2281–2284 (2019)
85. X.T. Tigno, B.C. Hansen, S. Nawang, R. Shamekh, A.M. Albano, Vasomotion becomes less
random as diabetes progresses in monkeys. Microcirculation 18(6), 429–439 (2011)
86. G. Valenza, L. Iozzia, L. Cerina, L. Mainardi, R. Barbieri, Assessment of instantaneous cardiovascular dynamics from video plethysmography, in 2017 39th Annual International Conference
of the IEEE Engineering in Medicine and Biology Society (Embc) (2017), pp. 1776–1779
87. A.H.D. Vélez, H.G. González-Hernández, B.R. Guerra (eds.), Attractor reconstruction for
plethysmographic biosignals, in 2014 International Conference on Electronics, Communications and Computers (CONIELECOMP), 26–28 Feb 2014
88. X. Wang, J. Meng, G. Tan, L. Zou, Research on the relation of EEG signal chaos characteristics
with high-level intelligence activity of human brain. Nonlinear Biomed. Phys. 4(1), 2 (2010)
89. G.B. Yvonne-Tee, A.H. Rasool, A.S. Halim, A.R. Rahman, Noninvasive assessment of cutaneous vascular function in vivo using capillaroscopy, plethysmography and laser-Doppler
instruments: its strengths and weaknesses. Clin. Hemorheol. Microcirc. 34(4), 457–473 (2006)
90. Y. Zhang, S. Wei, C. Di Maria, C. Liu, Using Lempel-Ziv complexity to assess ECG signal
quality. J. Med. Biol. Eng. 36(5), 625–634 (2016)
M. Thanaj et al.
73. G. Schlotthauer, A. Humeau-Heurtier, J. Escudero, H.L. Rufiner, Measuring complexity of
biomedical signals. Complexity (2018)
74. S.S. Segal, Regulation of blood flow in the microcirculation. Microcirculation 12(1), 33–45
(2005)
75. Y. Shiogai, A. Stefanovska, P.V.E. McClintock, Nonlinear dynamics of cardiovascular ageing.
Phys. Rep. 488(2–3), 51–110 (2010)
76. A.E. Simms, J.F.R. Paton, A.M. Allen, A.E. Pickering, Is augmented central respiratorysympathetic coupling involved in the generation of hypertension? Resp. Physiol. Neurobiol.
174(1–2), 89–97 (2010)
77. D.W. Slaaf, H.H. Vrielink, G.J. Tangelder, R.S. Reneman, Effective diameter as a determinant of
local vascular resistance in presence of vasomotion. Am. J. Physiol. 255(5 Pt 2), H1240–H1243
(1988)
78. T. Soderstrom, A. Stefanovska, M. Veber, H. Svensson, Involvement of sympathetic nerve
activity in skin blood flow oscillations in humans. Am. J. Physiol. Heart Circ. Physiol. 284(5),
H1638–H1646 (2003)
79. A. Stefanovska, M. Bracic, H.D. Kvernmo, Wavelet analysis of oscillations in the peripheral
blood circulation measured by laser Doppler technique. IEEE Trans. Biomed. Eng. 46(10),
1230–1239 (1999)
80. H.A. Struijker-Boudier, A.E. Rosei, P. Bruneval, P.G. Camici, F. Christ, D. Henrion et al.,
Evaluation of the microcirculation in hypertension and cardiovascular disease. Eur. Heart J.
28(23), 2834–2840 (2007)
81. F. Takens, Detecting strange attractors in turbulence. Dynamical systems and turbulence,
Warwick 1980, in Lecture Notes in Mathematics (Springer, Berlin, 1981), pp. 366–381
82. A.V. Tankanag, A.A. Grinevich, T.V. Kirilina, G.V. Krasnikov, G.M. Piskunova, N.K. Chemeris,
Wavelet phase coherence analysis of the skin blood flow oscillations in human. Microvasc. Res.
95, 53–59 (2014)
83. M. Thanaj, A.J. Chipperfield, G.F. Clough, Analysis of microvascular blood flow and oxygenation: discrimination between two haemodynamic steady states using nonlinear measures and
multiscale analysis. Comp. Biol. Med. 102, 157–167 (2018)
84. M. Thanaj, A. Chipperfield, G. Clough, Attractor reconstruction analysis for blood flow signals.
Conf. Proc. IEEE Eng. Med. Biol. Soc. 2019, 2281–2284 (2019)
85. X.T. Tigno, B.C. Hansen, S. Nawang, R. Shamekh, A.M. Albano, Vasomotion becomes less
random as diabetes progresses in monkeys. Microcirculation 18(6), 429–439 (2011)
86. G. Valenza, L. Iozzia, L. Cerina, L. Mainardi, R. Barbieri, Assessment of instantaneous cardiovascular dynamics from video plethysmography, in 2017 39th Annual International Conference
of the IEEE Engineering in Medicine and Biology Society (Embc) (2017), pp. 1776–1779
87. A.H.D. Vélez, H.G. González-Hernández, B.R. Guerra (eds.), Attractor reconstruction for
plethysmographic biosignals, in 2014 International Conference on Electronics, Communications and Computers (CONIELECOMP), 26–28 Feb 2014
88. X. Wang, J. Meng, G. Tan, L. Zou, Research on the relation of EEG signal chaos characteristics
with high-level intelligence activity of human brain. Nonlinear Biomed. Phys. 4(1), 2 (2010)
89. G.B. Yvonne-Tee, A.H. Rasool, A.S. Halim, A.R. Rahman, Noninvasive assessment of cutaneous vascular function in vivo using capillaroscopy, plethysmography and laser-Doppler
instruments: its strengths and weaknesses. Clin. Hemorheol. Microcirc. 34(4), 457–473 (2006)
90. Y. Zhang, S. Wei, C. Di Maria, C. Liu, Using Lempel-Ziv complexity to assess ECG signal
quality. J. Med. Biol. Eng. 36(5), 625–634 (2016)