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upgraded sample entropy  (Nonlinear Dynamics)

 
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    Nonlinear Dynamics upgraded sample entropy
    Upgraded Sample Entropy, supplied by Nonlinear Dynamics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/sample+entropy/sample+entropy/pm40133622-165-11-15
    Average 90 stars, based on 1 article reviews
    upgraded sample entropy - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Utility of sample entropy from intraoperative cerebral NIRS oximetry data in the diagnosis of postoperative cognitive improvement
    Article Snippet: In the presence of nonlinear dynamics , sample entropy was calculated to characterize intraoperative rSO 2 .

    Article Title: Personalized relapse prediction in patients with major depressive disorder using digital biomarkers.
    Article Snippet: In addition to fractal measures, measures from nonlinear dynamics such as sample entropy have been applied to actigraphy data to study randomness and chaos signatures in patients with depression and schizophrenia19.

    Article Title: Degraded Psychophysiological Status in Caregivers and Human Resources Staff during a COVID-19 Peak Unveiled by Psychological and HRV Testing at Workplace
    Article Snippet: The focus has been mainly on the level of irregularity in HRV, which is quantified by computations of the sample entropy at several observational scales of the HRV signal, to reflect nonlinear dynamics in the above-described neurovisceral system.

    Article Title: Nonlinear analysis of heart rate variability within independent frequency components during the sleep-wake cycle.
    Article Snippet: a Departamento de Fisiología, Facultad de Medicina, Universidad de Buenos Aires, Buenos Aires, Argentina b Sección Neurofisiología Clínica y Medicina del Sueño, Unidad de Salud “Dr.. César Milstein”, Instituto Nacional de Servicios Sociales para Jubilados y Pensionados, Buenos Aires, Argentina c Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (FLENI), Buenos Aires, Argentina d Departamento de Biología, Facultad de Ingeniería Bioingeniería, Universidad Nacional de Entre Ríos, Oro Verde, Argentina e CONICET, Argentina

    Article Title: Altered Brain Complexity in Women with Primary Dysmenorrhea: A Resting-State Magneto-Encephalography Study Using Multiscale Entropy Analysis
    Article Snippet: Entropy-based analysis, such as sample entropy [34], is a powerful tool to quantify complexity in nonlinear dynamics of neuronal activities.

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    Article Title: Modulation of center-of-pressure signal in children on the autism spectrum: A case-control study.
    Article Snippet: Background: Proper postural and motor control plays a fundamental role in the child’s ontogenetic development.. So far, the postural control in children on the autism spectrum has mainly been assessed with standard posturographic measurements of center of pressure (COP) displacements.. Research question: What are the differences in postural control between autistic and typically developing



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    ( A ) Multiscale entropy (MSE) for nine considered areas in each group (normo-development (ND) and specific language impairment (SLI)). ( B ) Marginal means of MSE when collapsing the electrodes across the antero-posterior dimension to observe the laterality effects reported in the RM-ANOVA .

    Journal: Entropy

    Article Title: Brain Complexity and Parametrization of Power Spectral Density in Children with Specific Language Impairment

    doi: 10.3390/e27060572

    Figure Lengend Snippet: ( A ) Multiscale entropy (MSE) for nine considered areas in each group (normo-development (ND) and specific language impairment (SLI)). ( B ) Marginal means of MSE when collapsing the electrodes across the antero-posterior dimension to observe the laterality effects reported in the RM-ANOVA .

    Article Snippet: Multiscale entropy (MSE) was calculated for all EEG participants and electrodes using the Multiscale Sample Entropy function in MATLAB [ ], based on the MSE method proposed by Costa et al. [ ].

    Techniques: