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recurrence quantification analysis

Zbilut JP (in prep.). Recurrence Quantification Analysis for

Zbilut JP (in prep.). Recurrence Quantification Analysis for

... 14. Darovic GO, Zbilut JP (2002). Fluid-filled monitoring systems (Chap. 6). In: Darovic GO (ed), Hemodynamic Monitoring: Invasive and Noninvasive Clinical Applications (3 rd ed). Philadelphia, W.B. Saunders, pp 113-131. ...

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Chaos, Fractal and Recurrence Quantification Analysis of Surface Electromyography in Muscular Dystrophy

Chaos, Fractal and Recurrence Quantification Analysis of Surface Electromyography in Muscular Dystrophy

... the analysis of the sEMG requires the detailed application of the basic methods of the nonlinear analysis and in particular of chaos and fractal analysis and of the Recurrence ...

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Recurrence quantification analysis of resting state EEG signals in autism spectrum disorder – a systematic methodological exploration of technical and demographic confounders in the search for biomarkers

Recurrence quantification analysis of resting state EEG signals in autism spectrum disorder – a systematic methodological exploration of technical and demographic confounders in the search for biomarkers

... of recurrence quantification analysis (RQA) as a potential biomarker for ASD using a systematic methodological exploration of a range of potential technical and demographic ...Data analysis ...

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Determining rhythmicity and determinism of temperature curves in septic and non-septic critically ill patients through chronobiological and recurrence quantification analysis: a pilot study

Determining rhythmicity and determinism of temperature curves in septic and non-septic critically ill patients through chronobiological and recurrence quantification analysis: a pilot study

... These small-scale structures are the base for recurrence quantification analysis (RQA) [20]. RQA attempts to capture and quantify the amount and distribution of points on the RP. The basis of the RQA ...

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Early detection of risk of autism spectrum disorder based on recurrence quantification analysis of electroencephalographic signals

Early detection of risk of autism spectrum disorder based on recurrence quantification analysis of electroencephalographic signals

... of recurrence quantification analysis (RQA) to resting state EEG (rsEEG) is investigated as a potentially robust and reliable biomarker for ASD ...

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Gaze collaboration patterns of successful and unsuccessful programming pairs using cross-recurrence quantification analysis

Gaze collaboration patterns of successful and unsuccessful programming pairs using cross-recurrence quantification analysis

... Cross-recurrence quantification analysis (CRQA), an analysis using cross-recurrence plots (CRP), was used to determine whether there are significant differences in the gaze ...

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Feasibility study of applicability of recurrence quantification analysis for clustering of power system dynamic responses

Feasibility study of applicability of recurrence quantification analysis for clustering of power system dynamic responses

... on Recurrence Quantification Analysis (RQA) for the clustering of generator dynamic behavior is ...data analysis method, which is used in this paper to extract features from measured generator ...

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Cross recurrence quantification analysis of precision grip following peripheral median nerve block

Cross recurrence quantification analysis of precision grip following peripheral median nerve block

... cross recurrence quantification analysis (CRQA) has been introduced as an advanced technique for nonlinear, neurophysiological ...cross recurrence plot ...

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Gear Fault Detection Using Recurrence Quantification Analysis and Support Vector Machine

Gear Fault Detection Using Recurrence Quantification Analysis and Support Vector Machine

... This paper presents the application of recurrence plots (RPs) and recurrence quantification analysis (RQA) in the diagnostics of various faults in a gear-train system. For this study, multiple ...

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Recurrence Quantification Analysis of Rough Surfaces Applied to Optical and Speckle Profiles

Recurrence Quantification Analysis of Rough Surfaces Applied to Optical and Speckle Profiles

... signals analysis methodologies, Echmann et ...graphic analysis reveals characteristics where heterogeneities and complicated contributions of the system are highlighted, impossible to detect by means of ...

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Analyzing multivariate dynamics using Cross-Recurrence Quantification Analysis (CRQA), Diagonal-Cross-Recurrence Profiles (DCRP), and Multidimensional Recurrence Quantification Analysis (MdRQA) – A tutorial in R

Analyzing multivariate dynamics using Cross-Recurrence Quantification Analysis (CRQA), Diagonal-Cross-Recurrence Profiles (DCRP), and Multidimensional Recurrence Quantification Analysis (MdRQA) – A tutorial in R

... cross-recurrence quantification analysis (CRQA), diagonal cross-recurrence profiles (DCRP), and multidimensional recurrence quantification analysis (MdRQA) in ...emerged. ...

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Zbilut JP (2005). Recurrence quantification analysis of nonlinear

Zbilut JP (2005). Recurrence quantification analysis of nonlinear

... 20. Zbilut JP, Webber Jr., CL, Zak M (1998). Quantification of heart rate variability using methods derived from nonlinear dynamics. In: Drzewiecki G, and Li J K-J, (eds.) Assessment and Analysis of ...

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Recurrence network analysis of EEG signals: A Geometric Approach

Recurrence network analysis of EEG signals: A Geometric Approach

... exists. Recurrence is another property which can be used to characterize the nonlinear dynamics of a ...of recurrence, while addressing the three body problem ...introduced recurrence plots (RPs) ...

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The Recurrence-Based Analysis of Intracranial Pressure

The Recurrence-Based Analysis of Intracranial Pressure

... several quantification measures in order to standardize and facilitate the interpretation of these graphical tools (Webber and Zbilut, 1994; Zbilut and Webber, ...descriptions. Recurrence ...

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Nonlinear dynamical analysis of GNSS data: quantification, precursors and synchronisation

Nonlinear dynamical analysis of GNSS data: quantification, precursors and synchronisation

... dynamical analysis of a data series is to extract features of the dynamics of the underlying physical and chemical processes that produce that spatial pattern or time series; a by-product is to characterise the ...

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Differential analysis of RNA-seq incorporating quantification uncertainty

Differential analysis of RNA-seq incorporating quantification uncertainty

... Supplementary Figure SN1 shows some screenshots from a sleuth analysis of the Bottomly data [?]. Supplementary Figure 1a shows the principal component analysis of the data set colored by the different ...

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Holistic Cloud Computing Environmental Quantification and Behavioural Analysis

Holistic Cloud Computing Environmental Quantification and Behavioural Analysis

... workload analysis is divided into two primary sections; cluster analysis and distribution ...cluster analysis is to classify users and tasks, quantify their respective statistical properties, and ...

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Predicting Recurrence in Cervical Cancer Patients Using Clinical Feature Analysis

Predicting Recurrence in Cervical Cancer Patients Using Clinical Feature Analysis

... early recurrence with 18 F-FDG PET in patients with Cervical ...of recurrence was detected within 6-18 months after diagnosis, and 89 percent of recurrence occurred in FIGO stage IIB and Stage ...the ...

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Original Article Analysis of colonic adenomas recurrence after adenoma removes

Original Article Analysis of colonic adenomas recurrence after adenoma removes

... multivariate analysis, gender, age, extracolonic tumor history, alcohol history and adenomas’ number at baseline status were the inde- pendent prognostic factors for adenoma recurrence (Table ...adenoma ...

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Recurrence Rates After Intussusception Enema Reduction: A Meta-analysis

Recurrence Rates After Intussusception Enema Reduction: A Meta-analysis

... of recurrence is in- dependent of enema type, study loca- tion, year of study completion, and study ...of recurrence in the fi rst 24 hours post reduction is ...

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