Results 161 to 170 of about 84,467 (191)

Pathological voice assessment by recurrence quantification analysis

2012 ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living (BRC), 2012
In this paper, the performance of quantification measures of recurrence plots is evaluated in the task of discriminating pathological voices from the healthy ones. In order to classify these signals as healthy, edema or paralysis, seven recurrence quantification measures are used: Determinism (DET), Maximum length of the diagonal structures (L max ...
Washington C. de A. Costa, Francisco M. Assis, Benedito G. Aguiar Neto, Silvana Cunha Costa, Vinicius J. Dias Vieira   +4 more
openaire   +1 more source

Damage detection using multivariate recurrence quantification analysis

Mechanical Systems and Signal Processing, 2006
Abstract Recurrence-quantification analysis (RQA) has emerged as a useful tool for detecting subtle non-stationarities and/or changes in time-series data. Here, we extend the RQA analysis methods to multivariate observations and present a method by which the “length scale” parameter e (the only parameter required for RQA) may be selected.
J.M. Nichols, S.T. Trickey, M. Seaver
openaire   +1 more source

Detecting epileptic electroencephalogram by Recurrence Quantification Analysis

2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2016
Aiming at studying the influences of epilepsy on brain's nonlinear characteristics, we analyzed the difference between the normal EEG (electroencephalogram) and epileptic EEG from the perspective of nonlinear dynamics. Two sets of data used in this paper, including 16 cases of normal EEG and the same quantity of epileptic EEG, were from General ...
Xiangtao Yan, Siyuan Feng, Jiafei Dai, Jun Wang   +3 more
openaire   +1 more source

Recurrence Quantification Analysis of Financial Markets

2013
Recurrence quantification analysis is a nonlinear time series analysis technique that detects deterministic dependencies in time series. This technique is particularly appropriate for modeling financial time series since it requires no assumptions on stationarity, statistical distribution, and minimum number of observations.
openaire   +1 more source

RECURRENCE QUANTIFICATION ANALYSIS IN WATERSHED ECOSYSTEM RESEARCH

International Journal of Bifurcation and Chaos, 2011
In ecosystem research, data-driven approaches to modeling are of major importance. Models are more often than not shaped by the spatiotemporal structure of the observations: an inverse modeling approach prevails. Here, I investigate the insights obtained from Recurrence Quantification Analysis of observed ecosystem time series.
openaire   +1 more source

RECURRENCE QUANTIFICATION ANALYSIS FOR NONTWIST SYSTEMS

Anais da XX Semana da Física, 2018
M. Mugnaine, M. S. Santos, A. M. Batista, R. L. Viana, I. L. Caldas, J. D. Szezech Jr   +5 more
openaire   +1 more source

Detecting BGP anomalies using recurrence quantification analysis

The Internet is subject to many types of attacks such as Denial of Service, hijacking of hosts and servers, and threats to routing protocols. The Border Gateway Protocol (BGP) is the Internet’s default inter-domain routing protocol responsible for exchanging Network Reachability Information between Autonomous Systems.
openaire   +1 more source

Recurrence quantification analysis (RQA) of surface electromyograms

1998
CYPRUS (GREECE)
FILLIGOI, Giancarlo, FELICI F., VICINI M., ROSPONI A.   +3 more
openaire   +1 more source

American Cancer Society nutrition and physical activity guideline for cancer survivors

Ca-A Cancer Journal for Clinicians, 2022
Cheryl L Rock, Cynthia A Thomson, Marian L Neuhouser   +2 more
exaly  

Recurrence Quantification Analysis

2015
openaire   +1 more source