Inteligencia ArtificialAlzheimer’s disease (AD) is a neurological disorder that causes memory decline and loss of cognitive abilities. AD directly impacts the brain activity of affected individuals, which can be reflected in electroencephalogram (EEG) signals.
Mennato-allah Talaat +2 more
doaj +2 more sources
Frontiers in Applied Mathematics and Statistics, 2020 Time-delay stability (TDS) analysis is a method for quantifying interactions in multivariate systems by identifying stable temporal relationships in time series data [1]. This method has been used to create network representations of complex systems.
Michael T. Tolston +2 more
doaj +3 more sources
EEG signal dimension is an index of seizure propensity and antiseizure medication effects in a mouse model of acquired epilepsy [PDF]
Epilepsia, Volume 66, Issue 8, Page 3035-3047, August 2025.Abstract Objective Variability in the frequency, timing, and pattern of seizures may influence the assessment of the effect of antiseizure medications (ASMs) when measuring seizure frequency, especially in patients with infrequent seizures. A low seizure rate is an exclusion criterion for enrollment of patients with epilepsy in clinical trials and ...
Massimo Rizzi +4 more
wiley +2 more sources
Electroencephalographic signal dimension provides the necessary stability of measurements for the unbiased evaluation of antiseizure medications, unlike seizure frequency: Overcoming drawbacks of seizure occurrence variability [PDF]
EpilepsiaEpilepsia, Volume 66, Issue 12, Page 5101-5104, December 2025.
Massimo Rizzi +4 more
wiley +2 more sources
Dynamic Response of Heart Rate Variability to Active Standing in Aortic Valve Disease: Insights from Recurrence Quantification Analysis [PDF]
SensorsIntroduction: Aortic valve disease (AVD) is an inflammatory, lipid infiltration and calcification disease that has been associated with changes in the conventional linear heart rate variability (HRV) indices showing a marked shift towards sympathetic ...
Itayetzin Beurini Cruz-Vega +5 more
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Machine learning for forecasting initial seizure onset in neonatal hypoxic–ischemic encephalopathy [PDF]
Epilepsia, Volume 66, Issue 1, Page 89-103, January 2025.Abstract Objective This study was undertaken to develop a machine learning (ML) model to forecast initial seizure onset in neonatal hypoxic–ischemic encephalopathy (HIE) utilizing clinical and quantitative electroencephalogram (QEEG) features. Methods We developed a gradient boosting ML model (Neo‐GB) that utilizes clinical features and QEEG to ...
Danilo Bernardo +7 more
wiley +2 more sources
Study on incentive mechanism of reward and punishment on work efficiency of PCB welder based on recurrence quantification analysis and electroencephalogram signals [PDF]
Scientific ReportsTraditional methods often struggle to objectively quantify the impact of salary incentives on employees’ productivity, leaving enterprise incentive strategies without a solid scientific foundation.
Zhang Qian, Mingyue Guo, Fuwang Wang
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Chemical Engineering Journal Advances, 2022 Tracer particle position time series obtained by RPT experiments were used to quantify the changes in hydrodynamics induced by boiling flows in single and multiple rods assembly.
Ashutosh Yadav, Shantanu Roy
doaj +1 more source
Recurrence analysis of ant activity patterns. [PDF]
PLoS ONE, 2017 In this study, we used recurrence quantification analysis (RQA) and recurrence plots (RPs) to compare the movement activity of individual workers of three ant species, as well as a gregarious beetle species.
Felipe Marcel Neves +2 more
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RCOVID19: Recurrence-based SARS-CoV-2 features using chaos game representation
Data in Brief, 2020 Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for the COVID-19 pandemic. It was first detected in China and was rapidly spread to other countries.
Mohammad Hossein Olyaee +3 more
doaj +1 more source