Article

ExSEnt: Extrema-Segmented Entropy Analysis of Time Series

2025-11-05

Abstract excerpt

<title>Abstract</title> <p> We introduce <italic>Extrema-Segmented Entrop</italic> y (ExSEnt), a feature-decomposed framework for quantifying time-series complexity that separates temporal from amplitude contributions. The method partitions a signal into monotonic segments by detecting sign changes in the first-order increments. For each segment, it extracts the interval duration and the net amplitude change,...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 3986f268-a35c-57bb-bb7e-f87007c3533b
DOI: 10.21203/rs.3.rs-7906274/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

ExSEnt: Extrema-Segmented Entropy Analysis of Time SeriesDOI 10.21203/rs.3.rs-7906274/v1Read

Phenotypical differentiation of tremor using time series feature extraction and machine learningSemantic proximity Read

Exploring quantile graphs: a novel approach for classifying Parkinson's disease-related events during the TUG testSemantic proximity Read

Multiscale Entropy Analysis of Short Signals: The Robustness of Fuzzy Entropy-Based VariantsSemantic proximity Read

The Advanced Complexity Analysis of Electroencephalography (EEG) Data Using Tsallis EntropySemantic proximity Read

Complexity Measures in Diverse Dynamical Regimes and Application to States of ConsciousnessSemantic proximity Read

Bringing complexity science to real world : quantification of stress in humans and systemsSemantic proximity Read

A Novel Quantitative Metric Based on a Complete and Unique Characterization of Neural Network Activity: 4D Shannon’s EntropySemantic proximity Read

Scale-Invariant Geometry of Neural Dynamics Across Biological TimescalesSemantic proximity Read

Spectral Moment Embedding: A canonical generalisation of Characteristic Response Analysis for covariance-based signal classificationSemantic proximity Read

Coordination-dynamics invariants from simultaneous vagus nerve electroneurogram and ECG: a Python pipeline applied to neonatal piglet endotoxaemiaSemantic proximity Read

Unsupervised Clustering Reveals Spatially Varying Single Neuronal Firing Patterns in the Subthalamic Nucleus of Patients with Parkinson’s DiseaseSemantic proximity Read

Critical slowing down at the neuromuscular junction: an early-warning framework for amyotrophic lateral sclerosisSemantic proximity Read