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Multiscale Renyi Entropy and Cardiac Autonomic Neuropathy
2015 20th International Conference on Control Systems and Computer Science, 2015Heart rate variability (HRV) is commonly analysed in respect to time and frequency domain measures as well as nonlinear measures including the fractal dimension using information derived from ECG recordings. Increased risk of adverse cardiac events such as arrhythmia can be detected using heart rate variability analysis.
Herbert F. Jelinek +3 more
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Relative entropy as a universal metric for multiscale errors
Physical Review E, 2010We show that the relative entropy, Srel, suggests a fundamental indicator of the success of multiscale studies, in which coarse-grained (CG) models are linked to first-principles (FP) ones. We demonstrate that Srel inherently measures fluctuations in the differences between CG and FP potential energy landscapes, and develop a theory that tightly and ...
Aviel, Chaimovich, M Scott, Shell
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Multiscale entropy analysis of human gait dynamics
Physica A: Statistical Mechanics and its Applications, 2003We compare the complexity of human gait time series from healthy subjects under different conditions. Using the recently developed multiscale entropy algorithm, which provides a way to measure complexity over a range of scales, we observe that normal spontaneous walking has the highest complexity when compared to slow and fast walking and also to ...
Costa, M. +3 more
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Multiscale Entropy: Recent Advances
2017Multiscale entropy is a widely used metric for characterizing the complexity of physiological time series. The fundamental difference to classical entropy measures is it enables quantification of nonlinear dynamics underlying physiological processes over multiple time scales.
Meng Hu, Hualou Liang
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Multiscale entropy indicates vascular abnormalities in the aged
2011 International Conference on Machine Learning and Cybernetics, 2011This study investigates the feasibility and sensitivity of a novel multiscale entropy index (MEI) in detecting subtle endothelial dysfunction in young and middle-aged subjects. Between December 2009 and May 2010, totally 70 subjects were recruited from a hospital, and categorized into young group (Group 1), middle-aged or elderly group (Group 2 ...
Chun-Ho Lee +5 more
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Cardiac variability time-series analysis by sample entropy and multiscale entropy
International Journal of Medical Engineering and Informatics, 2015Ever since the use of heart rate variability (HRV) as a tool for quantification of autonomic nervous system dynamics has become popular, the interest in exploring the hidden complexities of physiologic time series has increased immensely. The sample entropy (SampEn) has been in use for quite some time as a complexity measure.
Puneeta Marwaha, Ramesh Kumar Sunkaria
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[Multiscale entropy analysis of electrocardiogram].
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, 2009Using the algorithm proposed by Costa M, et al., we studied the multiscale entropy (MSE) of electrocardiogram. The sample entropy (SampEn) of the healthy subjects was found to be higher than that of the subjects with coronary heart disease or myocardial infarction. The healthy subjects' complexity was found to be the highest. The SampEn of the subjects
Jun, Wang +5 more
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Entropy estimation and multiscale processing in meteorological satellite images
Object recognition supported by user interaction for service robots, 2003A new model for the multiscale characterization of turbulence and chaotic information in digital images is presented. The model is applied to infrared satellite images for the determination of specific areas inside the clouds. These images are difficult to manipulate however due to their intrinsically chaotic character, consequence of the extreme ...
Turiel, A., Grazzini, J., Yahia, H.
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Entropies for Multiscale Hierarchical Systems
A class of entropic generating functionals is introduced to account for the stationary probability distributions arising in H theory, a framework for describing hierarchical multiscale complex systems. These entropies are indexed by the number $N$ of relevant scales in the hierarchy and by their corresponding universality classes, which are determined ...Giovani L. Vasconcelos +3 more
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Adaptive Multiscale Entropy Analysis of Multivariate Neural Data
IEEE Transactions on Biomedical Engineering, 2012Multiscale entropy (MSE) has been widely used to quantify a system's complexity by taking into account the multiple time scales inherent in physiologic time series. The method, however, is biased toward the coarse scale, i.e., low-frequency components due to the progressive smoothing operations.
Meng Hu, Hualou Liang
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