PhysioToolkit
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Measuring time series based on multiscale dispersion Lempel-Ziv complexity and dispersion entropy plane ⋮ Discriminant analysis of multivariate time series: application to diagnosis based on ECG signals ⋮ Fusion of sparse reconstruction algorithms for multiple measurement vectors ⋮ Most probable dimension value and most flat interval methods for automatic estimation of dimension from time series ⋮ An improved method for R-peak detection by using Shannon energy envelope ⋮ On a nonlocal spectrogram for denoising one-dimensional signals ⋮ Functional generalized structured component analysis ⋮ Effect of fibre orientation and bulk modulus on the electromechanical modelling of human ventricles ⋮ Robust heart rate variability analysis by generalized entropy minimization ⋮ Regression models using shapes of functions as predictors ⋮ FCM-DNN: diagnosing coronary artery disease by deep accuracy fuzzy C-means clustering model ⋮ Introducing the contrast profile: a novel time series primitive that allows real world classification ⋮ Entropies from Markov models as complexity measures of embedded attractors ⋮ Hybrid time Bayesian networks ⋮ EEG-based automatic sleep staging using ontology and weighting feature analysis ⋮ Exploring time-delay-based numerical differentiation using principal component analysis ⋮ Comparison of support-vector machine and sparse representation using a modified rule-based method for automated myocardial ischemia detection ⋮ Wavelet based method for congestive heart failure recognition by three confirmation functions ⋮ Novel real-time FPGA-based R-wave detection using lifting wavelet ⋮ Identification of healthy and pathological heartbeat dynamics based on ECG-waveform using multifractal spectrum ⋮ Asymmetric acceleration/deceleration dynamics in heart rate variability ⋮ Variance-mediated multifractal analysis of group participation in chasing a single dangerous prey ⋮ Discriminating imagined and non-imagined tasks in the motor cortex area: entropy-complexity plane with a wavelet decomposition ⋮ Effects of controlling parameter on symbolic nonlinear complexity detection ⋮ Average entropy: measurement of disorder for cardiac RR interval signals ⋮ A complexity measure for heart rate signals ⋮ Signature of complexity in time-frequency domain ⋮ Mixed \(\ell_2\) and \(\ell_1\)-norm regularization for adaptive detrending with ARMA modeling ⋮ Development of filtered bispectrum for EEG signal feature extraction in automatic emotion recognition using artificial neural networks ⋮ Noise suppression in ECG signals through efficient one-step wavelet processing techniques ⋮ Time-varying weighted optimal empirical mode decomposition using multiple sets of basis functions ⋮ Quadrantal multi-scale distribution entropy analysis of heartbeat interval series based on a modified Poincaré plot ⋮ Intermittency and multiscale dynamics in milling of fiber reinforced composites ⋮ Combined nonlinear analysis of atrial and ventricular series for automated screening of atrial fibrillation ⋮ EEG time series learning and classification using a hybrid forecasting model calibrated with GVNS ⋮ A disk-aware algorithm for time series motif discovery ⋮ Simultaneous optimisation of clustering quality and approximation error for time series segmentation ⋮ Vine copulas for mixed data: multi-view clustering for mixed data beyond meta-Gaussian dependencies ⋮ Effect of measuring noise on scaling characteristics in the dynamics of coupled chaotic systems ⋮ An estimation of the stability and the localisability functions of multistable processes ⋮ Functional extended redundancy analysis ⋮ A closed form expression for the Gaussian-based Caputo-Fabrizio fractional derivative for signal processing applications ⋮ Order patterns, their variation and change points in financial time series and Brownian motion ⋮ A linear transformation approach for estimating pulse arrival time ⋮ Empirical mode decomposition with shape-preserving spline interpolation ⋮ On the adoption of abductive reasoning for time series interpretation ⋮ Bayesian phase tracking for multiple pulse signals ⋮ Efficient synchronization estimation for complex time series using refined cross-sample entropy measure ⋮ Application of wavelet entropy to predict atrial fibrillation progression from the surface ECG ⋮ A general framework for never-ending learning from time series streams ⋮ Interaction between cardiovascular system and respiration ⋮ Dynamics reconstruction and classification via Koopman features ⋮ A Monte Carlo subsampling method for estimating the distribution of signal-to-noise ratio statistics in nonparametric time series regression models ⋮ Extending the volatility concept to point processes ⋮ Arrhythmia classification of ECG signals using hybrid features ⋮ Exponential-family models of random graphs: inference in finite, super and infinite population scenarios ⋮ Rearranged nonlocal filters for signal denoising ⋮ Atrial fibrillation detection by the combination of recurrence complex network and convolution neural network ⋮ The snap, crackle and pop of solar flares explained ⋮ Modeling of cardiovascular circulation for the early detection of coronary arterial blockage ⋮ Machine learning based congestive heart failure detection using feature importance ranking of multimodal features ⋮ A non-autonomous system leading to cyclic chaotic sets to model physiological rhythms ⋮ Accelerating the discovery of unsupervised-shapelets ⋮ Speeding up similarity search under dynamic time warping by pruning unpromising alignments ⋮ ECG compression with Douglas-Peucker algorithm and fractal interpolation ⋮ Wave-shape function analysis. When cepstrum meets time-frequency analysis ⋮ On the stopping criteria for \(k\)-nearest neighbor in positive unlabeled time series classification problems ⋮ Multi-scale entropy analysis of Mississippi river flow ⋮ A novel approach of dependence measure for complex signals ⋮ EEG-based biometric authentication using gamma band power during rest state ⋮ Model-based quantification of left ventricular diastolic function in critically ill patients with atrial fibrillation from routine data: a feasibility study ⋮ A cellular automaton model for collective neural dynamics ⋮ Nonlinear least-squares spline fitting with variable knots ⋮ An application of the coherent noise model for the prediction of aftershock magnitude time series ⋮ Analysis of natural and artificial phenomena using signal processing and fractional calculus ⋮ Application of time-delay multiscale symbolic phase compensated transfer entropy in analyzing cyclic alternating pattern (CAP) in sleep-related pathological data ⋮ Unexpected heart rate variability complexity in the aging process of arrhythmic subjects ⋮ From the time series to the complex networks: the parametric natural visibility graph ⋮ Outlier detection and quasi-periodicity optimization algorithm: frequency domain based outlier detection (FOD) ⋮ Directional outlyingness for multivariate functional data ⋮ CID: an efficient complexity-invariant distance for time series ⋮ A pulse signal preprocessing method based on the Chauvenet criterion ⋮ Examining human unipedal quiet stance: characterizing control through jerk ⋮ Inferring switched nonlinear dynamical systems ⋮ Goodness of fit in nonlinear dynamics: misspecified rates or misspecified states? ⋮ An extended DEIM algorithm for subset selection and class identification ⋮ Adaptive covariate acquisition for minimizing total cost of classification ⋮ Integrated heart -- coupling multiscale and multiphysics models for the simulation of the cardiac function ⋮ Phase permutation entropy : a complexity measure for nonlinear time series incorporating phase information ⋮ Random forest-based approach for physiological functional variable selection for driver's stress level classification ⋮ Multidimensional scaling method for complex time series feature classification based on generalized complexity-invariant distance ⋮ Automatic EEG classification: a path to smart and connected sleep interventions ⋮ A combined syntactical and statistical approach for R peak detection in real-time long-term heart rate variability analysis ⋮ Orthogonal matched wavelets with vanishing moments: a sparsity design approach ⋮ Detection of lag synchronization based on matrices of delayed differences ⋮ Clustered and deep echo state networks for signal noise reduction ⋮ Time irreversibility analysis and abnormality detection based on Riemannian geometry for complex time series ⋮ Characterizing systems by multi-scale structural complexity ⋮ Multi-scale transition network approaches for nonlinear time series analysis ⋮ Permutation Entropy and Order Patterns in Long Time Series
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