Results 161 to 170 of about 2,151 (202)
Identification of preterm birth based on RQA analysis of electrohysterograms [PDF]
Computer Methods and Programs in Biomedicine, 2018 Common methods for data analysis are mainly based on linear concepts, but in recent years nonlinear dynamics methods have been introduced. It is a well-known fact that In typical biological systems lack of stationarity and rather sudden changes of state are the properties distinguishing them from each other. There is an urgent need to better understand
Marta Borowska +2 more
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Epilepsy identification based on EEG signal using RQA method
Advances in Medical Sciences, 2019Epilepsy is one of the most common neurological diseases and its cause is not unequivocal. Thus, additional methods and searches that may help to diagnose the disease are used in the clinical practice. In this study, we tested the possibility of using the Recurrence Quantification Analysis (RQA) method to identify epilepsy and present the analysis of ...
Romuald Mosdorf +2 more
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Comparison on Classification of the Holy Quran Verses using MFCC and RQA
Proceedings of the 2021 International Conference on Computer, Control, Informatics and Its Applications, 2021Noor Akhmad Setiawan, Oyas Wahyunggoro
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Detection of Transformer Cores Looseness Using RQA
2010 Asia-Pacific Power and Energy Engineering Conference, 2010This paper proposes a recurrence qualification analysis (RQA) based method which is a useful tool to detect the subtle nonlinear changes in time series data to monitor the decreasing clamping forces of transformer iron cores. Firstly, suitable parameters including the distance threshold Â? for RQA are chosen according to the dynamical structures of the
Jie Guo
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Detecting BGP instability using Recurrence Quantification Analysis (RQA)
2015 IEEE 34th International Performance Computing and Communications Conference (IPCCC), 2015The Border Gateway Protocol (BGP) is the default Internet routing protocol that manages connectivity among Autonomous Systems (ASes). Although BGP disruptions are rare, when they occur the consequences can be very damaging. Consequently there has been considerable effort aimed at understanding what is normal and abnormal BGP traffic and, in so doing ...
Bahaa Al-Musawi +2 more
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Classification of the surface EMG signal using RQA based representations
2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008Feature extraction is a key element of pattern recognition for myoelectric control. In this paper, recurrence plots and recurrence quantification analysis (RQA) are used as the feature extractor for surface EMG signals. For eight different hand motions, two-channel EMG signals are recorded.
Xiangyang Zhu
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Delamination Depth Evaluation in Near-Surface of GFRP Laminates Based on RQA-MKLSVM Model
IEEE Access, 2023 The increasing use of glass fiber reinforced polymer (GFRP) laminates in aircraft creates an urgent demand for nondestructive testing to identify defects such as impact damage and delamination in the materials’ near-surface structure. The High-frequency ultrasonic technique is an effective nondestructive testing technique capable of detecting ...
Wei Guo, Zhaoba Wang, Youxing Chen
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Emotion Classification in Parkinson's Disease EEG using RQA and ELM
2020 16th IEEE International Colloquium on Signal Processing & Its Applications (CSPA), 2020Most of the earlier works focused on diagnosing the Parkinson's Disease (PD) through behavioral measures. Very few researches attempted to identify the emotion impairment in PD through EEG signals. The main objective of this work is to classify the emotions perceived by the PD subjects through audio-visual stimuli using Electroencephalogram (EEG ...
M Murugappan +6 more
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Formulas for complexity, invariant measure and RQA characteristics of the period-doubling subshift
Communications in Nonlinear Science and Numerical Simulation, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Interpretation of RQA variables: Application to the prediction of epileptic seizures
2006 8th international Conference on Signal Processing, 2006Epilepsy is characterized by the sudden occurrence of seizures disturbing the epileptic patients. Several nonlinear methods have been suggested to predict the onset of epileptic seizures from intracranial or scalp electroencephalogram (EEG) data as "dynamical similarity index analysis" and the "correlation dimension method".
Wassila Hamadene +2 more
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