Nonlinear Biomedical Signal Processing, Dynamic Analysis and Modeling

Akay, Metin

doi:10.1109/9780470545379

Cited by 79 publications

(59 citation statements)

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“…As the uterus is an extremely complex biological structure consisting billions of intricately interconnected myometrial cells whose responses are non-linear, it may be considered as a complex, non-linear dynamic system [38]. Besides, it is widely accepted that the underlying physiological mechanisms in all biological systems are non-linear processes [39][40][41]. As a result, nonlinear signal processing techniques are also used to characterize UEMG signals lately.…”

Section: Applications To Uterine Emg Signal Chracterizationmentioning

confidence: 99%

A Multivariate Multiscale Fuzzy Entropy Algorithm with Application to Uterine EMG Complexity Analysis

Ahmed

Chanwimalueang

Thayyil

et al. 2016

Entropy

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Abstract:The recently introduced multivariate multiscale entropy (MMSE) has been successfully used to quantify structural complexity in terms of nonlinear within-and cross-channel correlations as well as to reveal complex dynamical couplings and various degrees of synchronization over multiple scales in real-world multichannel data. However, the applicability of MMSE is limited by the coarse-graining process which defines scales, as it successively reduces the data length for each scale and thus yields inaccurate and undefined entropy estimates at higher scales and for short length data. To that cause, we propose the multivariate multiscale fuzzy entropy (MMFE) algorithm and demonstrate its superiority over the MMSE on both synthetic as well as real-world uterine electromyography (EMG) short duration signals. Based on MMFE features, an improvement in the classification accuracy of term-preterm deliveries was achieved, with a maximum area under the curve (AUC) value of 0.99.

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Section: Applications To Uterine Emg Signal Chracterizationmentioning

confidence: 99%

A Multivariate Multiscale Fuzzy Entropy Algorithm with Application to Uterine EMG Complexity Analysis

Ahmed

Chanwimalueang

Thayyil

et al. 2016

Entropy

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“…The correlation dimension should be equal to n for data with a length of 10 n, which may hinder the practical use of these methods (PINCUS and HUANG, 1992;AKAY, 2001;2005). In fact, many biological signals have a short data segment.…”

Section: Approximate Entropymentioning

confidence: 98%

“…In fact, many biological signals have a short data segment. Therefore we axe interested in using a fast, reliable, non-lineax dynamic analysis method that can be computationally efficient and produce an accurate estimate of a short data segment (PINCUS and HUANG, 1992;AKAY, 2001;2005).…”

Section: Approximate Entropymentioning

confidence: 99%

Influence of peripheral chemodenervation on the complexity of respiratory patterns during early maturation

Akay

2005

Med. Biol. Eng. Comput.

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Previous studies in humans have revealed that, during development, the fetus/neonate may be susceptible to environmental perturbations such as overheating, smoking, hypercapnia and hypoxia (LEWIS and BOSQUE, 1995; MASKERY, 1995). In particular, alterations in behavioural states during early development can result in permanent alterations in their organisational states and subsequent abnormalities in the regulation of the cardiovascular and respiratory systems. The influence of the peripheral chemoreceptor afferent input on the approximate entropy (complexity) of the phrenic neurogram in the piglet was investigated in three different age groups: 3-7 days (n = 7), 10-16 days (n = 6) and 25-31 days (n = 4). The phrenic neurogram was recorded from piglets during control (40% O2) and severe hypoxia (gasping) (5-10% O2), before and after peripheral chemodenervation, and was analysed using the approximate entropy (ApEn) method. The results show that the complexity values of the phrenic neurogram during eupnea and gasping did not change significantly before and after chemodenervation, regardless of postnatal age. The complexity values during gasping were not significantly influenced by the carotid chemodenervation for the 3-7 day-old group, but they were significantly decreased by the carotid chemodenervation for the 10-16 day-old age group (p < 0.01) and the 25-31 day-old age group (p < 0.05). However, the complexity values significantly decreased when the O2 concentration was shifted from eupnea to gasping (p < 0.001), both before and after the chemodenervation (p < 0.001), regardless of the postnatal age. These results suggest that the peripheral chemodenervation reduces the complexity of the phrenic neurograms during gasping only for the 10-16 day-old and 25-31 day-old age groups, and it has no significant influence on the 3-7 day-old age group. Therefore it is speculated that the peripheral chemoreceptors may be inactive for the first seven days of postnatal life and become more active after seven days.

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“…The selection of a limited value can lead to the distribution of co-ordinates so far away that they will no longer be correlated. As a result of the internal instability of chaotic system the extended delay time, the relation between the measurement of s(n) and s(n+T) will be equivalent to a random process [1,4,8]. The autocorrelation function can take the form…”

Section: Reconstruction Of Phase Space For a Time Series For A Definementioning

confidence: 99%

Application of Fractal Dimension for Estimation of the Type of Passenger Car Driver

Augustynowicz¹,

Ścięgosz²,

Brol³

2010

Advanced Knowledge Application in Practice

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Nonlinear Biomedical Signal Processing, Dynamic Analysis and Modeling

Cited by 79 publications

References 0 publications

A Multivariate Multiscale Fuzzy Entropy Algorithm with Application to Uterine EMG Complexity Analysis

A Multivariate Multiscale Fuzzy Entropy Algorithm with Application to Uterine EMG Complexity Analysis

Influence of peripheral chemodenervation on the complexity of respiratory patterns during early maturation

Application of Fractal Dimension for Estimation of the Type of Passenger Car Driver

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