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Ingeniero Electrónico Universidad Nacional de La Plata Facultad de Ingeniería

"Brain Computer Interface (BCI) or Brain Machine Interfaces (BMI), has proved the feasibility of a distinct non-biological communication channel to transmit information from the Central Nervous System (CNS) to a computer...

"Identificar la actividad cerebral epiléptica utilizando señales de electroencefalografía (EEG) en tiempo real es un problema difícil. Los métodos modernos de detección basados en técnicas avanzadas de aprendizaje...

"Las bioseñales consisten en señales producidas por los tejidos vivos. Las bioseñales se han utilizado en la medicina y en el campo de la accesibilidad. Su uso permite adquirir información sobre el estado del pacient...

"This paper presents a statistical signal processing method for the characterization of EEG of patients suffering from epilepsy. A statistical model is proposed for the signals and the Kullback-Leibler divergence is used...

"In this contribution, a comparison between different permutation entropies as classifiers of electroencephalogram (EEG) records corresponding to normal and pre-ictal states is made. A discrete probability distribution f...

"Consolidated memories can return to a labile state if they are reactivated by unpredictable reminders. To persist, active memories must be re-stabilized through a process known as reconsolidation. Although there is cons...

"The analysis of Electroencephalographic (EEG) signals is of ulterior importance to aid in the diagnosis of mental disease and to increase our understanding of the brain. Traditionally, clinical EEG has been analyzed in ...

"This paper presents the design of Electrostatic Discharge (ESD) protections for a remote Electroencephalograph (ECG). Design and layout guidelines are analyzed to improve the ESD robustness of a Grounded-Gate NMOS (GGNM...

"Epilepsy is a disease caused by an excessive discharge of a group of neurons in the cerebral cortex. Extracting this information using EEG signals is an ongoing challenge in biomedical signal processing. In this paper,...

"This work proposes a methodological approach to the insertion of a particular artifact produced by eyes blinking, in EEG data, in order to create a pseudo-real dataset, which in turn provides an experimental setup to te...

"Common spatial patterns analysis (CSP) and linear discriminant analysis (LDA) are widely used techniques for spatial filtering and classifying in motor imagery (MI). However, CSP is very sensitive to noise and artifacts...

"Pattern classification in electroencephalography (EEG) signals is an important problem in biomedical engineering since it enables the detection of brain activity, in particular the early detection of epileptic seizures....

"In nonlinear dynamics, and to a lesser extent in other fields, a widely used measure of complexity is the Permutation Entropy. But there is still no known method to determine the accuracy of this measure. There has be...

"The Electroencephalography (EEG) is not just a mere clinical tool anymore. It has become the de-facto mobile, portable, non-invasive brain imaging sensor to harness brain information in real time. It is now being used t...

"This paper presents a supervised classification method to accurately detect epileptic brain activity in real-time from electroencephalography (EEG) data. The proposed method has three main strengths: it has low computat...

"Predecir una crisis epiléptica significa la capacidad de determinar de antemano el momento de una crisis con la mayor precisión posible. Un pronóstico correcto de un evento epiléptico en aplicaciones clínicas es ...

"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...

"Appropriate diagnosis and treatment of epilepsy is a main public health issue. Patients suffering from this disease often exhibit different physical characterizations, which results from the synchronous and excessive di...

Sumario: Introducción - Electro y magnetoencefalografía - Densidad de corriente - Método mixto de puntos finitos - Perturbaciones en la geometría del modelo - Efecto de variabilidad entre individuos - Conclusiones - ...

"The use of Brain-Computer Interfaces can provide substantial improvements to the quality of life of patients with diseases such as severe Amyotrophic lateral sclerosis that cause Locked-in syndrome, by creating new aven...

En este trabajo se propone el uso de técnicas de procesamiento estadístico de señales con arreglos de sensores para determinar la capacidad de los distintos tipos de electrodos para hallar la zona en la que se generan...

"Epilepsy is a disease caused by an excessive discharge of a group of neurons in the cerebral cortex. Extracting this information using EEG signals is an ongoing challenge in biomedical signal processing. In this paper, ...