ArticleEntropy (Basel, Switzerland)2021
Algorithmic Approaches for Assessing Irreversibility in Time Series: Review and Comparison.
Article in Entropy (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
14 citing papers in PubMed.
- Spontaneous switching in a protein signalling array reveals near-critical cooperativity.Nature physics · 2026Article
- Article
- Entropy, Irreversibility, and Time-Series Deep Learning of Kinematic and Kinetic Data for Gait Classification in Children with Cerebral Palsy, Idiopathic Toe Walking, and Hereditary Spastic Paraplegia.Sensors (Basel, Switzerland) · 2025Article
- Algorithmic Approaches for Assessing Multiscale Irreversibility in Time Series: Review and Comparison.Entropy (Basel, Switzerland) · 2025Review
- Complex network behavior in epileptic patients treated with Vagus Nerve Stimulation (VNS): VNS responders exhibit a unique pattern, different from VNS non-responders and healthy controls.Frontiers in neuroscience · 2025Article
- Symmetry in Signals: A New Insight.Entropy (Basel, Switzerland) · 2024Article
- Functional hierarchies in brain dynamics characterized by signal reversibility in ferret cortex.PLoS computational biology · 2024Article
- Advancing aircraft engine RUL predictions: an interpretable integrated approach of feature engineering and aggregated feature importance.Scientific reports · 2023Article
- The lack of temporal brain dynamics asymmetry as a signature of impaired consciousness states.Interface focus · 2023Article
- Editorial: Advances in brain dynamics in the healthy and psychiatric disorders.Frontiers in psychiatry · 2023Article
- The time scales of irreversibility in spontaneous brain activity are altered in obsessive compulsive disorder.Frontiers in psychiatry · 2023Article
- Technology investigation on time series classification and prediction.PeerJ. Computer science · 2022Article
- Assessment of time irreversibility in a time series using visibility graphs.Frontiers in network physiology · 2022Article
- Gait analysis under the lens of statistical physics.Computational and structural biotechnology journal · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The assessment of time irreversibility, i.e., of the lack of invariance of the statistical properties of a system under the operation of time reversal, is a topic steadily gaining attention within the research community. Irreversible dynamics have been found in many real-world systems, with alterations being connected to, for instance, pathologies in the human brain, heart and gait, or to inefficiencies in financial markets. Assessing irreversibility in time series is not an easy task, due to its many aetiologies and to the different ways it manifests in data. It is thus not surprising that several numerical methods have been proposed in the last decades, based on different principles and with different applications in mind. In this contribution we review the most important algorithmic solutions that have been proposed to test the irreversibility of time series, their underlying hypotheses, computational and practical limitations, and their comparative performance. We further provide an open-source software library that includes all tests here considered. As a final point, we show that "one size does not fit all", as tests yield complementary, and sometimes conflicting views to the problem; and discuss some future research avenues.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.