Warning: Undefined array key "mm" in /www/wwwroot/www.ai-bt.com/si.php on line 10 Deprecated: trim(): Passing null to parameter #1 ($string) of type string is deprecated in /www/wwwroot/www.ai-bt.com/si.php on line 10 Ordinal symbolic analysis and its application to biomedical recordings.

Literature DB >> 25548264

Ordinal symbolic analysis and its application to biomedical recordings.

José M Amigó¹, Karsten Keller², Valentina A Unakafova³.

Abstract

Ordinal symbolic analysis opens an interesting and powerful perspective on time-series analysis. Here, we review this relatively new approach and highlight its relation to symbolic dynamics and representations. Our exposition reaches from the general ideas up to recent developments, with special emphasis on its applications to biomedical recordings. The latter will be illustrated with epilepsy data.

Entities: Disease

Keywords: ordinal patterns; permutation entropy; symbolic dynamics; time-series analysis

Mesh：

Year: 2015 PMID： 25548264 PMCID： PMC4281864 DOI： 10.1098/rsta.2014.0091

Source DB: PubMed Journal: Philos Trans A Math Phys Eng Sci ISSN： 1364-503X Impact factor: 4.226

38 in total

1. Entropy, entropy rate, and pattern classification as tools to typify complexity in short heart period variability series.

Authors: A Porta; S Guzzetti; N Montano; R Furlan; M Pagani; A Malliani; S Cerutti
Journal: IEEE Trans Biomed Eng Date: 2001-11 Impact factor: 4.538

Ordinal symbolic analysis and its application to biomedical recordings.

1. Entropy, entropy rate, and pattern classification as tools to typify complexity in short heart period variability series.

2. Estimating coupling direction between neuronal populations with permutation conditional mutual information.

3. Multiscale permutation entropy analysis of EEG recordings during sevoflurane anesthesia.

4. Entropy of the EEG in transition to burst suppression in deep anesthesia: Surrogate analysis.

5. Determining embedding dimension for phase-space reconstruction using a geometrical construction.

6. Classifying cardiac biosignals using ordinal pattern statistics and symbolic dynamics.

7. Momentary information transfer as a coupling measure of time series.

8. Predictability analysis of absence seizures with permutation entropy.

9. Deterministic dynamics of neural activity during absence seizures in rats.

10. Symbolic transfer entropy.

1. Enhancing dynamical signatures of complex systems through symbolic computation.

2. Multiscale ordinal network analysis of human cardiac dynamics.

3. Using symbolic networks to analyse dynamical properties of disease outbreaks.

4. Symbolic time series analysis of fNIRS signals in brain development assessment.

5. On Rényi Permutation Entropy.

6. Assessment of resampling methods for causality testing: A note on the US inflation behavior.

7. Constructing ordinal partition transition networks from multivariate time series.

8. Decreased electrocortical temporal complexity distinguishes sleep from wakefulness.

9. Symbolic Entropy Analysis and Its Applications.

10. Ordinal Patterns in Heartbeat Time Series: An Approach Using Multiscale Analysis.