Listar Neurología por autor "D'Giano, Carlos"

Mostrando ítems 1-6 de 6

A quadratic linear-parabolic model-based EEG classification to detect epileptic seizures

Quintero Rincón, Antonio; D'Giano, Carlos; Batatia, Hadj (Editorial Department of the Journals of Nanjing Medical University, 2019-08-28)

The two-point central difference is a common algorithm in biological signal processing and is particularly useful in analyzing physiological signals. In this paper, we develop a model-based classification method to detect ...
Artifacts Detection in EEG Signals

Quintero Rincón, Antonio; D'Giano, Carlos; Batatia, Hadj (International Frequency Sensor Association, 2021)

Resumen no disponible
Seizure Onset Detection in EEG Signals Based on Entropy from Generalized Gaussian PDF Modeling and Ensemble Bagging Classifier

Quintero Rincón, Antonio; D'Giano, Carlos; Batatia, Hadj (Springer, 2019-07-11)

This paper proposes a new algorithm for epileptic seizure onset detection in EEG signals. The algorithm relies on the measure of the entropy of observed data sequences. Precisely, the data is decomposed into different brain ...
Spike-and-wave epileptiform discharge pattern detection based on Kendall's Tau-b coefficient

Quintero Rincón, Antonio; Carenzo, Catalina; Ems, Joaquín; Hirschson, Lourdes; Muro, Valeria L.; D'Giano, Carlos ("Iuliu Haţieganu" Publishing House, 2019-03-30)

Epilepsy is an important public health issue. An appropriate epileptiform discharge pattern detection of this neurological disease is a typical problem in biomedical engineering. In this paper, a new method is proposed for ...
Statistical Model-Based Classification to Detect Patient-Specific Spike-and-Wave in EEG Signals

Quintero Rincón, Antonio; Muro, Valeria L.; D'Giano, Carlos; Prendes, Jorge; Batatia, Hadj (MDPI, 2020-10-29)

Spike-and-wave discharge (SWD) pattern detection in electroencephalography (EEG) is a crucial signal processing problem in epilepsy applications. It is particularly important for overcoming time-consuming, difficult, and ...
Study on epileptic seizure detection in EEG signals using largest Lyapunov exponents and logistic regression

Quintero Rincón, Antonio; Flugelman, Máximo; Prendes, Jorge; D'Giano, Carlos (Sociedad Argentina de Bioingeniería, 2019)

Seizure detection plays a central role in most aspects of epilepsy care. Understanding the complex epileptic signals system is a typical problem in electroencephalographic (EEG) signal processing. This problem requires different ...

Listar Neurología por autor "D'Giano, Carlos"

Listar Neurología por autor "D'Giano, Carlos"

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