Listar por autor UPNA "Gómez Fernández, Marisol"
Mostrando ítems 1-20 de 23
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Canonical maximization of coherence: a novel tool for investigation of neuronal interactions between two datasets
Synchronization between oscillatory signals is considered to be one of the main mechanisms through which neuronal populations interact with each other. It is conventionally studied with mass-bivariate measures utilizing ... -
Computation of greatest common divisor for the blind deconvolution of transient impulsive signals
We propose a new blind deconvolution method for transient impulsive signals in a single input – multiple output (SIMO) system. The method exploits the data redundancy inherent to SIMO multichannel systems to obtain an ... -
Degree of totalness: how to choose the best admissible permutation for vector fuzzy integration
(Elsevier, 2023) Artículo / ArtikuluaThe use of aggregation operators that require ordering of the data brings a problem when the structures to be aggregated are multi-valued, since there may be several admissible orders. To addressing this problem, the concept ... -
Design of low-cost smart accelerometers
The goal of this project is to design a low-cost smart accelerometer, making use of a piezoelectric element as basic sensing material, and adding a mixed-mode conditioning circuit. -
Enhancing sensorimotor BCI performance with assistive afferent activity: an online evaluation
An important goal in Brain-Computer Interfacing (BCI) is tofind and enhance procedural strategies for users for whom BCI control is not sufficiently accurate. To address this challenge, we conducted offline analyses and ... -
An evaluation of the 30-s chair stand test in older adults: frailty detection based on kinematic parameters from a single inertial unit
Background: A growing interest in frailty syndrome exists because it is regarded as a major predictor of co-morbidities and mortality in older populations. Nevertheless, frailty assessment has been controversial, particularly ... -
A fast SSVEP-based brain-computer interface
Literature of brain-computer interfacing (BCI) for steady-state visual evoked potentials (SSVEP) shows that canonical correlation analysis (CCA) is the most used method to extract features. However, it is known that CCA ... -
Frailty assessment based on the instrumented version on the 30-s chair stand test
El objetivo de esta tesis es mejorar la evaluación de la capacidad funcional usando nuevos parámetros cinemáticos. Así, el personal clínico dispondrá de una serie de medidas objetivas y cuantificables para realizar sus ... -
Frailty assessment based on trunk kinematic parameters during walking
Background: Physical frailty has become the center of attention of basic, clinical and demographic research due to its incidence level and gravity of adverse outcomes with age. Frailty syndrome is estimated to affect 20 % ... -
Impacto en el personal sanitario de urgencias extrahospitalarias de las cargas elevadas en la movilización de pacientes con silla de transporte
Introducción. El objetivo del estudio es valorar el esfuerzo físico realizado por el personal de la urgencia extrahospitalaria al trasladar pacientes de su domicilio a la ambulancia. Material y métodos. Estudio observacional ... -
Improving motor imagery classification during induced motor perturbations
Objective. Motor imagery is the mental simulation of movements. It is a common paradigm to design brain-computer interfaces (BCIs) that elicits the modulation of brain oscillatory activity similar to real, passive and ... -
Initiative to increment the number of women in STEM degrees: women, science and technology chair of the Public University of Navarre
The Public University of Navarre joined with Navarre Government has created the Women, Science and Technology Chair. This chair arises due to the plummeting tendency of the percentage of women in STEM degrees with the aim ... -
Modeling of noisy acceleration signals from quasi-periodic movements for drift-free position estimation
We present a novel approach to drift-free position estimation from noisy acceleration signals which often arise from quasi-periodic small-amplitude body movements. In contrast to the existing methods, this data-driven ... -
Motor abnormalities and cognitive impairment in first-episode psychosis patients, their unaffected siblings and healthy controls
Motor abnormalities (MAs) may be already evidenced long before the beginning of illness and are highly prevalent in psychosis. However, the extent to which the whole range of MAs are related to cognitive impairment ... -
Multichannel blind deconvolution of impulsive signals
In this communication, the problem of blind deconvolution of transient, impulsive signals in a multichannel environment is addressed. This kind of signals arise naturally, or are used as external excitation, in many ... -
Novel multivariate methods to track frequency shifts of neural oscillations in EEG/MEG recordings
Instantaneous and peak frequency changes in neural oscillations have been linked to many perceptual, motor, and cognitive processes. Yet, the majority of such studies have been performed in sensor space and only occasionally ... -
Optical system based on multiplexed FBGs to monitor hand movements
This contribution reports the development and characterization of an optical system based on parallel Fiber Bragg Gratings (FBGs) to monitor the movements of the wrist and fingers of a hand. The system consisted of a ... -
Optimizando desviaciones moderadas ponderadas para interfaces cerebro ordenador
Las interfaces cerebro-ordenador (BCI) basadas en el análisis de Electroencefalografía (EEG) están compuestas por varios elementos para procesar y clasificar las señales de entrada del cerebro. Una fase relevante de estos ... -
Oscillatory source tensor discriminant analysis (OSTDA): a regularized tensor pipeline for SSVEP-based BCI systems
Periodic signals called Steady-State Visual Evoked Potentials (SSVEP) are elicited in the brain by flickering stimuli. They are usually detected by means of regression techniques that need relatively long trial lengths to ... -
Relevance of sex, age and gait kinematics when predicting fall-risk and mortality in older adults
Approximately one-third of elderly people fall each year with severe consequences, including death. The aim of this study was to identify the most relevant features to be considered to maximize the accuracy of a logistic ...