Ordinal symbolic analysis and its application to biomedical recordings
Published 2014 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Ordinal symbolic analysis and its application to biomedical recordings
Authors
Keywords
-
Journal
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
Volume 373, Issue 2034, Pages 20140091-20140091
Publisher
The Royal Society
Online
2014-12-30
DOI
10.1098/rsta.2014.0091
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Efficiently Measuring Complexity on the Basis of Real-World Data
- (2013) Valentina Unakafova et al. Entropy
- Permutation complexity of interacting dynamical systems
- (2013) R. Monetti et al. European Physical Journal-Special Topics
- A new perspective on transcripts by means of their matrix representation
- (2013) W. Bunk et al. European Physical Journal-Special Topics
- Quantifying heart rate dynamics using different approaches of symbolic dynamics
- (2013) D. Cysarz et al. European Physical Journal-Special Topics
- Ordinal patterns in epileptic brains: Analysis of intracranial EEG and simultaneous EEG-fMRI
- (2013) C. Rummel et al. European Physical Journal-Special Topics
- Practical considerations of permutation entropy
- (2013) M. Riedl et al. European Physical Journal-Special Topics
- Ordinal pattern statistics for the assessment of heart rate variability
- (2013) G. Graff et al. European Physical Journal-Special Topics
- Conditional entropy of ordinal patterns
- (2013) Anton M. Unakafov et al. PHYSICA D-NONLINEAR PHENOMENA
- Information directionality in coupled time series using transcripts
- (2013) Roberto Monetti et al. PHYSICAL REVIEW E
- Transcripts: An algebraic approach to coupled time series
- (2012) José M. Amigó et al. CHAOS
- The Use of Permutation Entropy to Characterize Sleep Electroencephalograms
- (2012) N. Nicolaou et al. CLINICAL EEG AND NEUROSCIENCE
- Multivariate Multi-Scale Permutation Entropy for Complexity Analysis of Alzheimer’s Disease EEG
- (2012) Francesco Carlo Morabito et al. Entropy
- Permutation Entropy and Its Main Biomedical and Econophysics Applications: A Review
- (2012) Massimiliano Zanin et al. Entropy
- The equality of Kolmogorov–Sinai entropy and metric permutation entropy generalized
- (2012) José M. Amigó PHYSICA D-NONLINEAR PHENOMENA
- Modified permutation-entropy analysis of heartbeat dynamics
- (2012) Chunhua Bian et al. PHYSICAL REVIEW E
- Performance of Anesthetic Depth Indexes in Rabbits under Propofol Anesthesia
- (2011) Aura Silva et al. ANESTHESIOLOGY
- Performance of electroencephalogram-derived parameters in prediction of depth of anaesthesia in a rabbit model
- (2011) A. Silva et al. BRITISH JOURNAL OF ANAESTHESIA
- Characterization of early partial seizure onset: Frequency, complexity and entropy
- (2011) Christophe C. Jouny et al. CLINICAL NEUROPHYSIOLOGY
- Classifying cardiac biosignals using ordinal pattern statistics and symbolic dynamics
- (2011) U. Parlitz et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Permutations and the Kolmogorov-Sinai entropy
- (2011) Karsten Keller DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS
- Forbidden ordinal patterns of periictal intracranial EEG indicate deterministic dynamics in human epileptic seizures
- (2011) Kaspar Schindler et al. EPILEPSIA
- Detection of epileptic electroencephalogram based on Permutation Entropy and Support Vector Machines
- (2011) Nicoletta Nicolaou et al. EXPERT SYSTEMS WITH APPLICATIONS
- Momentary information transfer as a coupling measure of time series
- (2011) Bernd Pompe et al. PHYSICAL REVIEW E
- Comparison of Anesthetic Depth Indexes Based on Thalamocortical Local Field Potentials in Rats
- (2010) Aura Silva et al. ANESTHESIOLOGY
- Ordinal pattern based similarity analysis for EEG recordings
- (2010) Gaoxiang Ouyang et al. CLINICAL NEUROPHYSIOLOGY
- Estimation of ordinal pattern probabilities in Gaussian processes with stationary increments
- (2010) Mathieu Sinn et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- Permutation complexity of spatiotemporal dynamics
- (2010) J. M. Amigó et al. EPL
- DETECTING DETERMINISM IN TIME SERIES WITH ORDINAL PATTERNS: A COMPARATIVE STUDY
- (2010) J. M. AMIGÓ et al. INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
- Multiscale permutation entropy analysis of EEG recordings during sevoflurane anesthesia
- (2010) Duan Li et al. Journal of Neural Engineering
- Estimating coupling direction between neuronal populations with permutation conditional mutual information
- (2010) Xiaoli Li et al. NEUROIMAGE
- Fine-grained permutation entropy as a measure of natural complexity for time series
- (2009) Liu Xiao-Feng et al. Chinese Physics B
- Deterministic dynamics of neural activity during absence seizures in rats
- (2009) Gaoxiang Ouyang et al. PHYSICAL REVIEW E
- Characterizing synchronization in time series using information measures extracted from symbolic representations
- (2009) Roberto Monetti et al. PHYSICAL REVIEW E
- Electroencephalographic Order Pattern Analysis for the Separation of Consciousness and Unconsciousness
- (2008) Denis Jordan et al. ANESTHESIOLOGY
- Using Permutation Entropy to Measure the Electroencephalographic Effects of Sevoflurane
- (2008) Xiaoli Li et al. ANESTHESIOLOGY
- Permutation entropy of the electroencephalogram: a measure of anaesthetic drug effect
- (2008) E. Olofsen et al. BRITISH JOURNAL OF ANAESTHESIA
- Combinatorial detection of determinism in noisy time series
- (2008) J. M. Amigó et al. EPL
- Permutation entropy to detect vigilance changes and preictal states from scalp EEG in epileptic patients. A preliminary study
- (2008) Angela A. Bruzzo et al. NEUROLOGICAL SCIENCES
- Symbolic Transfer Entropy
- (2008) Matthäus Staniek et al. PHYSICAL REVIEW LETTERS
- On the genesis of symbolic dynamics as we know it
- (2008) Ethan M. Coven et al. COLLOQUIUM MATHEMATICUM
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More