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Classifying cardiac biosignals using ordinal pattern statistics and symbolic dynamics

U. Parlitz, S. Berg, S. Luther, A. Schirdewan, J. Kurths, N. Wessel
2012 Computers in Biology and Medicine  
In this article we evaluate the discriminative power of ordinal pattern statistics and symbolic dynamics in comparison with established heart rate variability parameters applied to beat-to-beat intervals  ...  These comparisons show that ordinal patterns sampled with an additional time lag are promising features for efficient classification.  ...  I), symbolic dynamics (II), and ordinal patterns (III).  ... 
doi:10.1016/j.compbiomed.2011.03.017 pmid:21511252 fatcat:5tgkjclpu5hedlvx2y4c6n3ude

Complexity–entropy causality plane: A useful approach for distinguishing songs

Haroldo V. Ribeiro, Luciano Zunino, Renio S. Mendes, Ervin K. Lenzi
2012 Physica A: Statistical Mechanics and its Applications  
In this work, we report on a statistical analysis of more than ten thousand songs aiming to obtain a complexity hierarchy.  ...  In this context, it is essential to have techniques and tools able to discriminate properties from these massive sets.  ...  Rosso is also acknowledged for useful discussions and valuable comments. HVR, RSM and EKL are grateful to CNPq and CAPES (Brazilian agencies) for the financial support. HVR also thanks Angel A.  ... 
doi:10.1016/j.physa.2011.12.009 fatcat:2a24smz6ovdj5omiuvuemfdeyi

Exploring the complex dynamics of a Duffing oscillator with ordinal patterns analysis [article]

Maximillian Trostel, Moses Misplon, Andrés Aragoneses, Arjendu Pattanayak
2017 arXiv   pre-print
Here we explore the complexity of its dynamics in the classical and semi-classical regimes, using the technique of ordinal pattern analysis.  ...  These regimes are characterized by different hierarchies and probabilities of the ordinal patterns.  ...  It has been widely used to characterize symptoms in epileptic patients [13] , or to classify cardiac biosignals [14] , to study EEG signals [15, 16] , to distinguishing determinism from stochasticity  ... 
arXiv:1712.08040v1 fatcat:bnvh4v2clrbclml545y7jy57ou

Distinguishing chaotic and stochastic dynamics from time series by using a multiscale symbolic approach

L. Zunino, M. C. Soriano, O. A. Rosso
2012 Physical Review E  
In this paper we introduce a multiscale symbolic information-theory approach for discriminating nonlinear deterministic and stochastic dynamics from time series associated with complex systems.  ...  dynamics.  ...  ACKNOWLEDGMENTS The authors thank the anonymous reviewers for their useful comments and suggestions that greatly helped to improve an earlier version of this paper.  ... 
doi:10.1103/physreve.86.046210 pmid:23214666 fatcat:ko4fnutdpvbu7cqzv6fsybpnfy

Characterizing Complex Dynamics in the Classical and Semi-Classical Duffing Oscillator Using Ordinal Patterns Analysis

Max Trostel, Moses Misplon, Andrés Aragoneses, Arjendu Pattanayak
2018 Entropy  
Here we explore the complexity of its dynamics in the classical and semi-classical regimes, using the technique of ordinal pattern analysis.  ...  These regimes are characterized by different hierarchies and probabilities of the ordinal patterns.  ...  Author Contributions: Maximillian Trostel performed the simulations, analyzed the data, discussed the results, and wrote the manuscript; Moses Misplon created the initial semiclassical code and performed  ... 
doi:10.3390/e20010040 pmid:33265129 fatcat:tktweaqvpjfbppthzvjvtewboi

Subthreshold signal encoding in coupled FitzHugh-Nagumo neurons [article]

Maria Masoliver, Cristina Masoller
2017 arXiv   pre-print
By simulating the FitzHugh-Nagumo stochastic model and then using a symbolic method to analyze the firing activity of the neuron, preferred and infrequent spike patterns (defined by the relative timing  ...  We also show that the probabilities of the symbolic patterns achieve maximum or minimum values when the period of the external signal is close to (or is half of) the mean firing period of the neuron.  ...  Parlitz U, Berg S, Luther S, Schirdewan A, Kurths J, Wessel N (2012) Classifying cardiac biosignals using ordinal pattern statistics and symbolic dynamics. Compt. Biol. Med. 42:319. 37.  ... 
arXiv:1711.08309v1 fatcat:ahhikrhayffxdiwpr2swsmeh2y

Using Permutations for Hierarchical Clustering of Time Series

Jose Cánovas, Antonio Guillamón, María Ruiz-Abellón
2019 Entropy  
The effect of the embedding dimension and the linkage method are also analyzed. Finally, several real data series are properly clustered using the proposed method.  ...  We apply these distances to both simulated theoretical and real data series.  ...  On the other hand, the discriminative power of ordinal pattern statistics and symbolic dynamics to classify cardiac biosignals has been evaluated in [17] , whereas [18] uses ordinal patterns to detect  ... 
doi:10.3390/e21030306 pmid:33267021 fatcat:t35fiicqbfao7kyu77fquaq2lq

Track C

2014 Biomedical Engineering  
As the determination of suitable and individualized parameter values for myoelectric-controlled human-machine interfaces is time-consuming, this work presents an incremental parameter adaptation scheme  ...  The author would like to thank Christopher Dörr, THM, for helpful discussions and Youssef Belhoucine, THM, for help with ECG recording.  ...  Ordinal Patterns Ordinal patterns generalize the concept of asymmetry indices.  ... 
doi:10.1515/bmt-2014-5002 pmid:25385887 fatcat:duiajlu3i5gdffz5o4extkvyjm

Transösophageales Interventrikuläres Delay bei Vorhofflimmern und Kardialer Resynchronisation

M. Heinke, B. Ismer, H. Kühnert, T. Heinke, G. Dannberg, H. R. Figulla
2013 Biomedical Engineering  
In practical applications, however, the number of electrodes is limited and the placing is subject to constraints.  ...  A mathematically ill-posed problem is solved to reconstruct the cardiac sources from potentials collected on the body surface.  ...  Acknowledgements We thank Uwe Mattler, Kathrin Koziel, Dorothea Schyma and Julia Trächtler for their valueable contributions to the clinical data acquisition and processing.  ... 
doi:10.1515/bmt-2013-4154 pmid:24042832 fatcat:qsbz2z3utva6rery74jfw66pe4

Proceedings_of_Measuring_Behavior_2014.pdf [article]

Andrew Spink, Egon Van Den Broek, Leanne Loijens, Marta Woloszynowska-Fraser, Lucas P. J. J. Noldus
2020 Figshare  
Proceedings of the 9th International Conference on Methods and Techniques in Behavioral Research  ...  Welfare, health and growth of young cattle is strongly influenced by stress [2, 4]. With the use of sound detectors, management of these problems will become more easy.  ...  Tracking data The tracking data of the Lesser Black-backed Gull (here after gull) used for this study was provided by the Avian Research Institute, Wilhelmshaven, Germany and SOVON Dutch Centre For Field  ... 
doi:10.6084/m9.figshare.11708187 fatcat:62o74kbgczf2tp2dk64jeszxr4

Connecting people with technology: issues in professional communication

2009 ChoiceReviews  
The authors argue that combining several symbols can create complex and expressive messages. The Picture Frame provides a way of dynamically adding graphical symbols to shared photos.  ...  The goal of pattern recognition is to develop an artificial system that is able to recognize (complex) patterns, in our case emotions, through statistical learning techniques.  ...  This showed we could further improve the empathy feedback using a multimodal feedback algorithm fusing different physiological signals.  ... 
doi:10.5860/choice.46-5073 fatcat:5uzhgkc2srartdvls6c3j4ds74

A New Approach to High-Order Electroencephalogram Phase Analysis Details the Mathematical Mechanisms of Central Nervous System Impulse Encoding

Ricardo Simeoni
2021 UNET JOSS: Journal of Science and Society  
This paper presents a new electroencephalogram (EEG) analysis technique which is applied to example EEGs pertaining to nine human subjects and a broad spectrum of clinical scenarios.  ...  A parabolic relationship (r > 0.9999, p < 0.001) exists between α∆φ (and the parabola minimum associates with an additional inter-Family or universal quantum increment value, αmin).  ...  tachycardia and fibrillation cardiac rhythms [31, 46] .  ... 
doi:10.52042/unetjoss010101 fatcat:wa7wykazcndfhfz54xcrjqjehy

Health—exploring complexity: an interdisciplinary systems approach HEC2016

Eva Grill, Martin Müller, Ulrich Mansmann
2016 European Journal of Epidemiology  
The SIMENS architecture proposes also a data and application integration services for supporting interoperability and decision making. 614 Sedentary behavior recognition using accelerometer and symbolic  ...  study-findings of the Pretest 1 phase of the German National Cohort Background Nasal and oropharyngeal swabs are used to study microbial populations and dynamics of multidrug-resistant pathogens (e.g.  ...  Results The experiment on real-world EMR data shows that our approach is able to find meaningful progression patterns with less noises, and can help quickly identify interesting patterns related to a certain  ... 
doi:10.1007/s10654-016-0183-1 pmid:27522353 fatcat:dcl3nbpygvh5fg7keri74h55ie

ALMA MATER STUDIORUM UNIVERSITÀ DEGLI STUDI DI BOLOGNA DOTTORATO DI RICERCA IN BIOINGEGNERIA MENTAL STATES MONITORING THROUGH PASSIVE BRAIN-COMPUTER INTERFACE SYSTEMS

Relatore, Serenella Salinari, Cincotti Febo, Fabio Ing, Aloise, Elisa Magosso, Pietro Aricò
unpublished
In the second study, a passive BCI system able to online estimate the mental workload of the user by relying on the combination of the EEG and the ECG biosignals has been proposed.  ...  P300-based BCIs), and if these information can predict the subjects' performance in performing the tasks.  ...  The latter uses these signals (classifier output and biosignals) to provide a feedback to the operator and/or to the user.  ... 
fatcat:cr3sjahrwnc2xmh2eotsw3hpim

Psychosomatic Assessment and Integrative Care: 22nd World Congress on Psychosomatic Medicine Lisboa, September 12–14, 2013

2013 Psychotherapy and Psychosomatics  
Methods: we use pattern recognition techniques to classify population groups: drug abusers vs controls.  ...  We analysed psychophysiological load patterns using features extracted from multimodal biosignal data, namely: Blood Volume Pulse (BVP), Respiration (RESP), and Electrodermal Activity (EDA).  ...  by 'group dynamics strategies', 'organizational culture strategies', and 'individual support strategies'.  ... 
doi:10.1159/000354142 pmid:24052068 fatcat:bu3zzfnxk5fltoue7e37wtcjeq
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