Multiscale Analysis of Microvascular Blood Flow and Oxygenation

Thanaj, Marjola; Chipperfield, A.J.; Clough, Geraldine F.

doi:10.1007/978-981-10-9038-7_36

Cited by 7 publications

(6 citation statements)

References 22 publications

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“…Linear discriminant analysis classifiers are good for dimensionality reduction, they are simple in terms of implementation and can be very quickly trained. The LDA technique has been widely used from optical character and facial recognition to clinical applications and thus have been shown to be a very promising tool for discriminating different pathophysiological groups. Here, the LDA classifier was examined in order to separate the groups DM0‐DM1‐CB based on the complexity analysis in 15 epochs and the multiscale complexity in 24 scales.…”

Section: Discussionmentioning

confidence: 99%

“…Thus, it might be expected that an altered spatial heterogeneity and temporal stability of network perfusion will limit the adaptive capability of the microvasculature to meet changing metabolic needs. We have previously shown this to be the case using combined LDF and white light spectroscopy to measure microvascular blood flow and tissue oxygenation . These more recent studies suggest that nonlinear measures may be of benefit in investigating the dynamics within the microcirculation to discriminate more effectively between different influences on network functionality and flexibility.…”

Section: Introductionmentioning

confidence: 94%

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Multi‐domain analysis of microvascular flow motion dynamics in NAFLD

et al. 2019

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Objective To determine whether analysis of microvascular network perfusion using complexity‐based methods can discriminate between groups of individuals at an increased risk of developing CVD. Methods Data were obtained from laser Doppler recordings of skin blood flux at the forearm in 50 participants with non‐alcoholic fatty liver disease grouped for absence (n = 28) or presence (n = 14) of type 2 diabetes and use of calcium channel blocker medication (n = 8). Power spectral density was evaluated and Lempel‐Ziv complexity determined to quantify signal information content at single and multiple time‐scales to account for the different processes modulating network perfusion. Results Complexity was associated with dilatory capacity and respiration and negatively with baseline blood flux and cardiac band power. The relationship between the modulators of flowmotion and complexity of blood flux is shown to change with time‐scale improving discrimination between groups. Multiscale Lempel‐Ziv achieved best classification accuracy of 86.1%. Conclusions Time and frequency domain measures alone are insufficient to discriminate between groups. As cardiovascular disease risk increases, the degree of complexity of the blood flux signal reduces, indicative of a reduced temporal activity and heterogeneous distribution of blood flow within the microvascular network sampled. Complexity‐based methods, particularly multiscale variants, are shown to have good discriminatory capabilities.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 94%

Multi‐domain analysis of microvascular flow motion dynamics in NAFLD

et al. 2019

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“…A noninvasive system for monitoring oxygenation fluctuations is potentially helpful for investigating race‐related differences within a continuous time frame. Near‐infrared spectroscopy (NIRS) , white light spectroscopy and laser Doppler flowmetry (LDF) can contribute to such a system. They are all continuous optical methods that allow for real‐time monitoring of changes in both the systemic and local activities of the cardiovascular system.…”

Section: Introductionmentioning

confidence: 99%

“…This can only reveal local information about oxygen utilization. The development of a combined white light reflectance and LDF probe that uses a single‐point low‐power infrared light source (785 nm) and white light (400‐700 nm) excitation, respectively, has enabled simultaneous recordings of blood flow and oxygenation at the same location . This can illuminate their mutual interactions to provide more information about oxygenation mechanisms in the microcirculation.…”

Section: Introductionmentioning

confidence: 99%

Race‐specific differences in the phase coherence between blood flow and oxygenation: A simultaneous NIRS, white light spectroscopy and LDF study

Abdulhameed

McClintock

Stefanovska

2020

Journal of Biophotonics

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Race-specific differences in the level of glycated hemoglobin are well known.However, these differences were detected by invasive measurement of mean oxygenation, and their understanding remains far from complete. Given that oxygen is delivered to the cells by hemoglobin through the cardiovascular system, a possible approach is to investigate the phase coherence between blood flow and oxygen transportation. Here we introduce a noninvasive optical method based on simultaneous recordings using NIRS, white light spectroscopy and LDF, combined with wavelet-based phase coherence analysis. Signals were recorded simultaneously for individuals in two groups of healthy subjects, 16 from Sub-Saharan Africa (BA group) and 16 Europeans (CA group). It was found that the power of myogenic oscillations in oxygenated and de-oxygenated hemoglobin is higher in the BA group, but that the phase coherence between blood flow and oxygen saturation, or blood flow and hemoglobin concentrations is higher in the CA group K E Y W O R D S blood flow, ethnic, laser Doppler flowmetry, near-infrared spectroscopy, oxygenation, physiological oscillations, wavelet phase coherence, white light spectroscopy

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“…It has been demonstrated that both LZ and ETC outperform Shannon Entropy in characterizing complexity of noisy time series of short length arising out of stochastic (markov) and chaotic systems [37,39,40]. Further, ETC consistently performs better than LZ in a number of applications as shown in recently published literature [39][40][41][42]. For details of how to compute LZ and ETC on actual input sequences, we refer the readers to [22,37,43].…”

Section: • Strength Of the Hydrogen Bondsmentioning

confidence: 98%

Automatic Identification of SARS Coronavirus using Compression-Complexity Measures

Balasubramanian

Nagaraj

2020

Preprint

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Finding vaccine or specific antiviral treatment for global pandemic of virus diseases (such as the ongoing COVID-19) requires rapid analysis, annotation and evaluation of metagenomic libraries to enable a quick and efficient screening of nucleotide sequences. Traditional sequence alignment methods are not suitable and there is a need for fast alignment-free techniques for sequence analysis. Information theory and data compression algorithms provide a rich set of mathematical and computational tools to capture essential patterns in biological sequences. In 2013, our research group (Nagaraj et al., Eur. Phys. J. Special Topics 222(3-4), 2013) has proposed a novel measure known as Effort-To-Compress (ETC) based on the notion of compression-complexity to capture the information content of sequences. In this study, we propose a compression-complexity based distance measure for automatic identification of SARS coronavirus strains from a set of viruses using only short fragments of nucleotide sequences. We also demonstrate that our proposed method can correctly distinguish SARS-CoV-2 from SARS-CoV-1 viruses by analyzing very short segments of nucleotide sequences. This work could be extended further to enable medical practitioners in automatically identifying and characterizing SARS coronavirus strain in a fast and efficient fashion using short and/or incomplete segments of nucleotide sequences. Potentially, the need for sequence assembly can be circumvented.NoteThe main ideas and results of this research were first presented at the International Conference on Nonlinear Systems and Dynamics (CNSD-2013) held at Indian Institute of Technology, Indore, December 12, 2013. In this manuscript, we have extended our preliminary analysis to include SARS-CoV-2 virus as well.

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Multiscale Analysis of Microvascular Blood Flow and Oxygenation

Cited by 7 publications

References 22 publications

Multi‐domain analysis of microvascular flow motion dynamics in NAFLD

Multi‐domain analysis of microvascular flow motion dynamics in NAFLD

Race‐specific differences in the phase coherence between blood flow and oxygenation: A simultaneous NIRS, white light spectroscopy and LDF study

Automatic Identification of SARS Coronavirus using Compression-Complexity Measures

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