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multiscale entropy

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https://www.readbyqxmd.com/read/28383496/measuring-complexity-and-predictability-of-time-series-with-flexible-multiscale-entropy-for-sensor-networks
#1
Renjie Zhou, Chen Yang, Jian Wan, Wei Zhang, Bo Guan, Naixue Xiong
Measurement of time series complexity and predictability is sometimes the cornerstone for proposing solutions to topology and congestion control problems in sensor networks. As a method of measuring time series complexity and predictability, multiscale entropy (MSE) has been widely applied in many fields. However, sample entropy, which is the fundamental component of MSE, measures the similarity of two subsequences of a time series with either zero or one, but without in-between values, which causes sudden changes of entropy values even if the time series embraces small changes...
April 6, 2017: Sensors
https://www.readbyqxmd.com/read/28336915/a-novel-method-of-evaluating-knee-joint-stability-of-patients-with-knee-osteoarthritis-multiscale-entropy-analysis-with-a-knee-aiming-task
#2
Diange Zhou, Shijie Zhang, Hui Zhang, Long Jiang, Jue Zhang, Jing Fang
Deteriorating knee stability is a local risk factor that reflects the occurrence and aggregative of osteoarthritis (OA). Despite the many biomechanics-based methods for assessing the structural stability of knee joints in clinics, these methods have many limitations. The stability of the knee joint relies on not only biomechanical factors, but also proprioception and the central nervous system. In this study, we attempt to depict the stability of knee joint from a holistic viewpoint, and a novel index of knee joint stability (IKJS) was thus extracted...
March 23, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28335804/symbolic-time-series-analysis-of-electroencephalographic-eeg-epileptic-seizure-and-brain-dynamics-with-eye-open-and-eye-closed-subjects-during-resting-states
#3
Lal Hussain, Wajid Aziz, Jalal S Alowibdi, Nazneen Habib, Muhammad Rafique, Sharjil Saeed, Syed Zaki Hassan Kazmi
OBJECTIVE: Epilepsy is a neuronal disorder for which the electrical discharge in the brain is synchronized, abnormal and excessive. To detect the epileptic seizures and to analyse brain activities during different mental states, various methods in non-linear dynamics have been proposed. This study is an attempt to quantify the complexity of control and epileptic subject with and without seizure as well as to distinguish eye-open (EO) and eye-closed (EC) conditions using threshold-based symbolic entropy...
March 23, 2017: Journal of Physiological Anthropology
https://www.readbyqxmd.com/read/28334026/exploring-the-link-between-multiscale-entropy-and-fractal-scaling-behavior-in-near-surface-wind
#4
Miguel Nogueira
The equivalency between the power law behavior of Multiscale Entropy (MSE) and of power spectra opens a promising path for interpretation of complex time-series, which is explored here for the first time for atmospheric fields. Additionally, the present manuscript represents a new independent empirical validation of such relationship, the first one for the atmosphere. The MSE-fractal relationship is verified for synthetic fractal time-series covering the full range of exponents typically observed in the atmosphere...
2017: PloS One
https://www.readbyqxmd.com/read/28328498/a-framework-for-patient-state-tracking-by-classifying-multiscalar-physiologic-waveform-features
#5
Benjamin Vandendriessche, Mustafa Abas, Thomas Dick, Kenneth Loparo, Frank Jacono
OBJECTIVE: State-of-the-art algorithms that quantify nonlinear dynamics in physiologic waveforms are underutilized clinically due to their esoteric nature. We present a generalizable framework for classifying multiscalar waveform features, designed for patient-state tracking directly at the bedside. METHODS: An artificial neural network classifier was designed to evaluate multiscale waveform features against a fingerprint database of multifractal synthetic time series...
March 17, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28323219/effects-of-visual-and-auditory-guidance-on-bimanual-coordination-complexity
#6
Daniela V Vaz, Bruce A Kay, Michael T Turvey
Perceptual guidance of movement with simple visual or temporal information can facilitate performance of difficult coordination patterns. Guidance may override coordination constraints that usually limit stability of bimanual coordination to only in-phase and anti-phase. Movement dynamics, however, might not have the same characteristics with and without perceptual guidance. Do visual and auditory guidance produce qualitatively different dynamical organization of movement? An anti-phase wrist flexion and extension coordination task was performed under no specific perceptual guidance, under temporal guidance with a metronome, and under visual guidance with a Lissajous plot...
March 20, 2017: Human Movement Science
https://www.readbyqxmd.com/read/28318282/altered-resting-state-eeg-complexity-in-children-with-tourette-syndrome-a-preliminary-study
#7
Wen-Chin Weng, Chi-Feng Chang, Lee Chin Wong, Jui-Hsiang Lin, Wang-Tso Lee, Jiann-Shing Shieh
OBJECTIVE: Tourette syndrome is a developmental neuropsychiatric disorder in children, and abnormal corticobasal ganglion connectivity is implied for the pathophysiology. Multiscale entropy, an entropy-based method to measure dynamic complexity at multiple temporal scales, is helpful to disclose the information of brain connectivity. This preliminary study investigated the complexity of resting-state electroencephalogram signals using multiscale entropy in children with Tourette syndrome...
March 20, 2017: Neuropsychology
https://www.readbyqxmd.com/read/28297884/chaotic-dynamics-of-a-swirling-flame-front-instability-generated-by-a-change-in-gravitational-orientation
#8
Hiroshi Gotoda, Hiroaki Kobayashi, Kenta Hayashi
We have intensively examined the dynamic behavior of flame front instability in a lean swirling premixed flame generated by a change in gravitational orientation [H. Gotoda, T. Miyano, and I. G. Shepherd, Phys. Rev. E 81, 026211 (2010)PLEEE81539-375510.1103/PhysRevE.81.026211] from the viewpoints of complex networks, symbolic dynamics, and statistical complexity. Here, we considered the permutation entropy in combination with the surrogate data method, the permutation spectrum test, and the multiscale complexity-entropy causality plane incorporating a scale-dependent approach, none of which have been considered in the study of flame front instabilities...
February 2017: Physical Review. E
https://www.readbyqxmd.com/read/28290487/cardiac-autonomic-alteration-and-metabolic-syndrome-an-ambulatory-ecg-based-study-in-a-general-population
#9
Yan Ma, Ping-Huei Tseng, Andrew Ahn, Ming-Shiang Wu, Yi-Lwun Ho, Ming-Fong Chen, Chung-Kang Peng
Metabolic syndrome (MetS) has been associated with chronic damage to the cardiovascular system. This study aimed to evaluate early stage cardiac autonomic dysfunction with electrocardiography (ECG)-based measures in MetS subjects. During 2012-2013, 175 subjects with MetS and 226 healthy controls underwent ECG recordings of at least 4 hours starting in the morning with ambulatory one-lead ECG monitors. MetS was diagnosed using the criteria defined in the Adult Treatment Panel III, with a modification of waist circumference for Asians...
March 14, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28287954/refined-composite-multiscale-dispersion-entropy-and-its-application-to-biomedical-signals
#10
Hamed Azami, Mostafa Rostaghi, Dani Abasolo, Javier Escudero
OBJECTIVE: We propose a novel complexity measure to overcome the deficiencies of the widespread and powerful multiscale entropy (MSE), including, MSE values may be undefined for short signals, and MSE is slow for real-time applications. METHODS: We introduce multiscale dispersion entropy (DisEn - MDE) as a very fast and powerful method to quantify the complexity of signals. MDE is based on our recently developed DisEn, which has a computation cost of O(N), compared with O(N2) for sample entropy used in MSE...
March 8, 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28269718/analysis-of-the-sleep-eeg-in-the-complexity-domain
#11
Sara Mariani, Ana F T Borges, Teresa Henriques, Robert J Thomas, Samuel J Leistedt, Paul Linkowski, Jean-Pol Lanquart, Ary L Goldberger, Madalena D Costa
Conventional sleep analysis relies primarily on electroencephalogram (EEG) waveform features assessed in concert with eye movements, respiration and muscle tone. We explore a complementary "complexity domain" approach based on multiscale entropy (MSE) analysis of EEG signals and discuss its relationships to standard sleep analysis and to that based on electrocardiogram (ECG)-derived cardiopulmonary coupling (CPC). We observe a progressive decrease in complexity associated with decreased arousability, as measured by both conventional sleep scoring and CPC analysis...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269107/memd-enhanced-multivariate-fuzzy-entropy-for-the-evaluation-of-complexity-in-biomedical-signals
#12
Hamed Azami, Keith Smith, Javier Escudero
Multivariate multiscale entropy (mvMSE) has been proposed as a combination of the coarse-graining process and multivariate sample entropy (mvSE) to quantify the irregularity of multivariate signals. However, both the coarse-graining process and mvSE may not be reliable for short signals. Although the coarse-graining process can be replaced with multivariate empirical mode decomposition (MEMD), the relative instability of mvSE for short signals remains a problem. Here, we address this issue by proposing the multivariate fuzzy entropy (mvFE) with a new fuzzy membership function...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268777/discriminating-clinical-phases-of-recovery-from-major-depressive-disorder-using-the-dynamics-of-facial-expression
#13
Sahar Harati, Andrea Crowell, Helen Mayberg, Jun Kong, Shamim Nemati
We used several metrics of variability to extract unsupervised features from video recordings of patients before and after deep brain stimulation (DBS) treatment for major depressive disorder (MDD). Our goal was to quantify the treatment effects on facial expressivity. Multiscale entropy (MSE) was used to capture the temporal variability in pixel intensity level at multiple time-scales. A dynamic latent variable model (DLVM) was used to learn a low dimensional (D = 20) set of dynamic factors that explain the observed covariance across the high-dimensional pixels (M = 30 × 30) within each video frame and across time...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28252107/serial-heart-rhythm-complexity-changes-in-patients-with-anterior-wall-st-segment-elevation-myocardial-infarction
#14
Hung-Chih Chiu, Hsi-Pin Ma, Chen Lin, Men-Tzung Lo, Lian-Yu Lin, Cho-Kai Wu, Jiun-Yang Chiang, Jen-Kuang Lee, Chi-Sheng Hung, Tzung-Dau Wang, Li-Yu Daisy Liu, Yi-Lwun Ho, Yen-Hung Lin, Chung-Kang Peng
Heart rhythm complexity analysis has been shown to have good prognostic power in patients with cardiovascular disease. The aim of this study was to analyze serial changes in heart rhythm complexity from the acute to chronic phase of acute myocardial infarction (MI). We prospectively enrolled 27 patients with anterior wall ST segment elevation myocardial infarction (STEMI) and 42 control subjects. In detrended fluctuation analysis (DFA), the patients had significantly lower DFAα2 in the acute stage (within 72 hours) and lower DFAα1 at 3 months and 12 months after MI...
March 2, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28227982/analysis-of-the-sleep-eeg-in-the-complexity-domain
#15
Sara Mariani, Ana F T Borges, Teresa Henriques, Robert J Thomas, Samuel J Leistedt, Paul Linkowski, Jean-Pol Lanquart, Ary L Goldberger, Madalena D Costa, Sara Mariani, Ana F T Borges, Teresa Henriques, Robert J Thomas, Samuel J Leistedt, Paul Linkowski, Jean-Pol Lanquart, Ary L Goldberger, Madalena D Costa, Teresa Henriques, Robert J Thomas, Madalena D Costa, Samuel J Leistedt, Paul Linkowski, Ary L Goldberger, Jean-Pol Lanquart, Sara Mariani, Ana F T Borges
Conventional sleep analysis relies primarily on electroencephalogram (EEG) waveform features assessed in concert with eye movements, respiration and muscle tone. We explore a complementary "complexity domain" approach based on multiscale entropy (MSE) analysis of EEG signals and discuss its relationships to standard sleep analysis and to that based on electrocardiogram (ECG)-derived cardiopulmonary coupling (CPC). We observe a progressive decrease in complexity associated with decreased arousability, as measured by both conventional sleep scoring and CPC analysis...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227333/memd-enhanced-multivariate-fuzzy-entropy-for-the-evaluation-of-complexity-in-biomedical-signals
#16
Hamed Azami, Keith Smith, Javier Escudero, Hamed Azami, Keith Smith, Javier Escudero, Javier Escudero, Keith Smith, Hamed Azami
Multivariate multiscale entropy (mvMSE) has been proposed as a combination of the coarse-graining process and multivariate sample entropy (mvSE) to quantify the irregularity of multivariate signals. However, both the coarse-graining process and mvSE may not be reliable for short signals. Although the coarse-graining process can be replaced with multivariate empirical mode decomposition (MEMD), the relative instability of mvSE for short signals remains a problem. Here, we address this issue by proposing the multivariate fuzzy entropy (mvFE) with a new fuzzy membership function...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226968/discriminating-clinical-phases-of-recovery-from-major-depressive-disorder-using-the-dynamics-of-facial-expression
#17
Sahar Harati, Andrea Crowell, Helen Mayberg, Jun Kong, Shamim Nemati, Sahar Harati, Andrea Crowell, Helen Mayberg, Jun Kong, Shamim Nemati, Andrea Crowell, Helen Mayberg, Jun Kong, Shamim Nemati, Sahar Harati
We used several metrics of variability to extract unsupervised features from video recordings of patients before and after deep brain stimulation (DBS) treatment for major depressive disorder (MDD). Our goal was to quantify the treatment effects on facial expressivity. Multiscale entropy (MSE) was used to capture the temporal variability in pixel intensity level at multiple time-scales. A dynamic latent variable model (DLVM) was used to learn a low dimensional (D = 20) set of dynamic factors that explain the observed covariance across the high-dimensional pixels (M = 30 × 30) within each video frame and across time...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28125270/response-to-tendon-vibration-questions-the-underlying-rationale-of-proprioceptive-training
#18
Anat Vilnai Lubetzky, Sarah Westcott McCoy, Robert Price, Deborah Kartin
CONTEXT: Proprioceptive training on compliant surfaces is used to rehabilitate and prevent ankle sprains. The ability to improve proprioceptive function via such training has been questioned. Achilles tendon vibration is used in motor-control research as a form of proprioceptive stimulus. Using measures of postural steadiness with nonlinear measures to elucidate control mechanisms, tendon vibration can be applied to investigate the underlying rationale of proprioceptive training. OBJECTIVE: To test whether the effect of vibration on young adults' postural control depended on the support surface...
February 2017: Journal of Athletic Training
https://www.readbyqxmd.com/read/28107591/the-role-of-autonomic-dysfunction-in-predicting-1-year-mortality-after-liver-transplantation
#19
Kuang-Cheng Chan, Jia-Rong Yeh, Wei-Zen Sun
BACKGROUND & AIMS: Model for end-stage liver disease (MELD) score has been extensively used to prioritize patients for liver transplantation and determine their prognosis, but with limited predictive value. Autonomic dysfunction may correlate with increased mortality after liver transplant. In this study, two autonomic biomarkers, complexity and deceleration capacity, were added to the predicting model for 1-year mortality after liver transplantation. METHODS: In all, 30 patients with end-stage liver diseases awaiting liver transplantation were included...
January 20, 2017: Liver International: Official Journal of the International Association for the Study of the Liver
https://www.readbyqxmd.com/read/28075691/complexity-of-brain-signals-is-associated-with-outcome-in-preterm-infants
#20
Cristine Sortica da Costa, Michal M Placek, Marek Czosnyka, Brenno Cabella, Magdalena Kasprowicz, Topun Austin, Peter Smielewski
A characteristic feature of complex healthy biological systems is the ability to react and adapt to minute changes in the environment. This 'complexity' manifests itself in highly irregular patterns of various physiological measurements. Here, we apply Multiscale Entropy (MSE) analysis to assess the complexity of systemic and cerebral near-infrared spectroscopy (NIRS) signals in a cohort of 61 critically ill preterm infants born at median (range) gestational age of 26 (23-31) weeks, before 24 h of life. We further correlate the complexity of these parameters with brain injury and mortality...
January 1, 2017: Journal of Cerebral Blood Flow and Metabolism
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