Signatures of deterministic chaos in dyslipidemic erythrocytes under shear stress

Korol, A. M.; Rasia, Rodolfo M.

doi:10.1063/1.1544522

Cited by 14 publications

(11 citation statements)

References 9 publications

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“…The RBCs without treatment samples are more disordered (bigger entropy values) than the 2% glucose and also these ones are more disorder than the 5% glucose treatment. The dynamics for RBCs without treatment samples could correspond to fGn, results consistent with a previous study [12], while, the 2 and 5% glucose-incubated samples exhibit decreasing entropy values and increasing complexity values, that could correspond to short memory fBM; results consistent with our previous studies [6,23].…”

Section: Resultssupporting

confidence: 92%

“…Our preliminary studies on red blood cells (RBCs) complex behaviour [5][6][7][8][9], have shown the competition between stochastic ordinal Brownian motion (oBm) and fractional Brownian motion (fBm), and make a crossover from one relaxation scenario when the erythrocytes are at rest to the other one, when the erythrocytes are subjected to shear stress. On this basis we applied a new concept in the study of the manifestation of this behaviour.…”

Section: Introductionmentioning

confidence: 99%

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Impairment of Erythrocytes Incubated in Glucose Medium: A Wavelet-Information Theory Analysis

Korol

Rosso

Martín

et al. 2011

Cell Biochem Biophys

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This study investigates the effects produced by an increased concentration of glucose in a suspending medium on the erythrocytes Information Theory quantifiers. Erythrocytes, which were obtained from eight healthy volunteers, were washed and incubated in vitro with glucose solutions at different concentrations. The measured Wavelet-based Information Theory quantifiers include the Relative Wavelet Energy (RWE), the Normalized Total Wavelet Shannon Entropy (NTWS), MPR-Statistical Complexity Measure (SCM) and entropy-complexity plane. The results show that the increase in glucose concentration does not produce significant changes on the RWE, while significant ones on the NTSE, which combined with SCM values allow to identify different behaviour for all the different populations in the entropy-complexity plane. Modification in the hemorheological properties of cells could be clearly detected with these Wavelet-based Information Theory quantifiers.

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Section: Resultssupporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Impairment of Erythrocytes Incubated in Glucose Medium: A Wavelet-Information Theory Analysis

Korol

Rosso

Martín

et al. 2011

Cell Biochem Biophys

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“…It is important to understand that Costa et al and Chialvo argued that pathology/dysfunction is associated with less variability (lower entropy), which was consistent with our findings (Kaufman, 2007;Sung et al, 2005;Sung et al, 2007b). Nonlinear analysis has proved to be useful in the analysis of a variety of physiologic time series such as human heartbeats (Ivanov et al, 1999) and the shapes of red blood cells under flow stress (Korol & Rasia, 2003). Based on these empirical studies, it has been found that the time series from healthy subjects have higher entropy values than the time series from those with pathology/dysfunction.…”

Section: Reliability Of Surface Electromyography Analysissupporting

confidence: 80%

“…Regarding time series applications, biological time series are complex data that need to be distilled to useful information such as assessing an illness. Nonlinear analysis using fractal geometry and random walks theory proved to be useful in the analysis of a variety of time series such as correlations between global temperatures and solar activity (Scafetta & West, 2003), earthquake statistics (Scafetta & West, 2004), human heartbeat (Ivanov et al, 1999), and shapes of red cells under flow stress (Korol & Rasia, 2003). Recently, nonlinear time series generated by the back muscles' electrical activity was investigated between subjects with and without LBP motivated by the need to develop an evaluation tool for LBP (Lee et al, 2010;Sung et al, 2005;Sung et al, 2007a;Sung et al, 2010).…”

Section: Entropy Of Electromyographymentioning

confidence: 99%

Nonlinear Analysis of Surface Electromyography

Sung¹

2012

EMG Methods for Evaluating Muscle and Nerve Function

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EMG Methods for Evaluating Muscle and Nerve Function 134that the signal must be interpreted as "noise." The noise is due to the interaction between a particular muscle and all other biomechanical "units" of the body. In many cases, the power spectrum follows an algebraic dependence P(f) ~ 1/f. The case =0 corresponds to "white noise" while =2 characterizes diffusive Brownian motion. Therefore, the MF of the EMG power spectrum is sensitive to physiological manifestations of muscular dysfunction as an alternative assessment tool to identify muscle fatigue (Mannion et al., 1997b;Roy et al., 1997). H o w e v e r , t h e r e i s a l a c k o f r e s e a r c h t h a t c o m p a r e s t h i s t o o l w i t h o t h e r n o n l i n e a r measurements based on pain level or dysfunction. During a fatiguing contraction, a compression of the power spectrum of the EMG signal to lower frequencies is typically observed (Lindstrom et al., 1974). This phenomenon is measured during a contraction as a decrease in the MF of the EMG signal. Individuals with better endurance than others exhibit a less precipitous decay rate of the MF (Mannion et al., 1997b). Thus, it would be necessary to compare the results between Shannon entropy levels of the EMG and MF of the spectral quantities following intervention to enhance outcome measurements.Other results indicated that subjects with LBP show less fatigue than healthy subjects (Humphrey et al., 2005;Mannion et al., 2001). Thus, despite considerable efforts by many researchers, a link between MF and musculoskeletal pain/dysfunction remains elusive. Moreover, the surface EMG is not a scientifically acceptable tool for the diagnosis of pain/dysfunction, and further studies are recommended to assess the specificity and sensitivity of surface EMG (Pullman et al., 2000). Therefore, a clinical diagnosis and evaluation of LBP is still elusive, and the efficacy of therapeutic intervention and assessment for LBP cannot be tested reliably. The power spectrum analysis provides an objective and noninvasive assessment of muscle function since EMG changes are associated with fatigue (De Luca, 1984;Mannion et al., 1997a). However, contradictory results have been reported in studies using EMG as an outcome measure. The power spectrum has a limited dynamic range, and the change of the MF does not reflect such long-time correlations. New methods must be designed to capture biologically important characteristics from noisy time series. Researchers using nonlinear time series analysis have developed several mathematical tools to reveal the presence of power-law time correlations. Investigations of physiologic time series have led to the understanding that some degree of noise is necessary for the proper functioning of biological systems (Belair et al., 1995b;Glass, 2001;Strogatz, 2001). These systems must respond to external stimuli that may vary both in strength and time scale by many orders of magnitude. The "degree of irregularity" of time series can be quantified by computing the (information) entropy of...

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“…Nonlinear analysis has proved to be useful in the analysis of a variety of physiologic time series such as human heartbeats (Ivanov et al, 1999) and the shapes of red blood cells under flow stress (Korol and Rasia, 2003). Based on these empirical studies, it was found that the time series from healthy subjects has higher entropy values than the time series from those with pathology.…”

Section: Median Frequencymentioning

confidence: 99%

Reliability difference between spectral and entropic measures of erector spinae muscle fatigability

Sung

Zürcher

Kaufman

2010

Journal of Electromyography and Kinesiology

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Signatures of deterministic chaos in dyslipidemic erythrocytes under shear stress

Cited by 14 publications

References 9 publications

Impairment of Erythrocytes Incubated in Glucose Medium: A Wavelet-Information Theory Analysis

Impairment of Erythrocytes Incubated in Glucose Medium: A Wavelet-Information Theory Analysis

Nonlinear Analysis of Surface Electromyography

Reliability difference between spectral and entropic measures of erector spinae muscle fatigability

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