Carlos Guerrero-Mosquera

• PhD
• Technology Transfer Support & Research at Ramon Llull University

This work is part of the research project “Sons al Balcó” conducted by La Salle - Universitat Ramon Llull, which examines the impacts of noise pollution on human perception and mental health, specifically focusing on the perception of noise in Catalonia during the lockdown in 2020 and the return to normalcy in 2021. The purpose of this research is...

The appearance of new trends in the field of cognitive neuroscience, for example object persistence, has paved the way for the evolution of deep CNNs into Siamese Neural Network architectures such as OPNet. These networks allow for image recognition without the need for expensive labelled data. In this work, we apply this technology to a small Span...

This study evaluates Reinforcement Learning (RL) techniques for financial trading during unpredictable market conditions, such as black swan events. Three experiments were conducted: one where the algorithms were trained and tested over the same period; another where they were trained and tested over different periods; and the final one where they...

Recent studies in neuropsychiatry have highlighted the correlation between facial and brain dysmorphologies. One way of simultaneously analysing the brain and the face of a subject is by reconstructing a whole-head 3D model from structural magnetic resonance imaging (sMRI). However, the use of different reconstruction protocols generates undesired...

Neuroergonomics focuses on the brain signatures and associated mental states underlying behavior to design human-machine interfaces enhancing performance in the cognitive and physical domains. Brain imaging techniques such as functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) have been considered key methods for achievin...

Fatigue induced by sustained cognitive demands often entails decreased behavioural performance and the unavailability of brain resources, either due to reduced levels or impaired access. In the present study, we investigated the neural dynamics underlying preserved behavioural performance after inducing cognitive fatigue (CF) in a sleep deprivation...

Sustained cognitive demands may result in cognitive fatigue (CF), eventually leading to decreased behavioral performance and compromised brain resources. In the present study, we tested the hypothesis that transcranial direct current stimulation (tDCS) would counteract the behavioral and neurophysiological effects of CF. Twenty young healthy partic...

Language discrimination is one of the core differences between bilingual and monolingual language acquisition. Here, we investigate the earliest brain specialization induced by it. Following previous research, we hypothesize that bilingual native language discrimination is a complex process involving specific processing of the prosodic properties o...

Successful social interactions depend on the ability to track the mental states of others and predict their behavior (Theory of Mind). However, there are cues that bias people’s social perception and induce them to form certain affiliations with particular others. Based on a previous research (Southgate & Vernetti, 2014), here we investigate if the...

A situation of resource unavailability following sustained demands and a drop of performance are generally associated with the triggering of cognitive fatigue (CF) (Lim, Wu, Wang, Detre, & Dinges, 2010). There is not yet a clear agreement about the origin of this lack of resources (Hockey, 2013). To provide further insight in this issue, the presen...

A situation of resource unavailability following sustained demands and a drop of performance are generally associated with the triggering of cognitive fatigue (CF) (Lim, Wu, Wang, Detre, & Dinges, 2010). There is not yet a clear agreement about the origin of this lack of resources (Hockey, 2013). To provide further insight in this issue, the presen...

Background: fNIRS signals can be contaminated by distinct sources of noise. While most of the noise can be corrected using digital filters, optimized experimental paradigms or pre-processing methods, few approaches focus on the automatic detection of noisy channels. Methods: In the present study, we propose a new method that detect automatically n...

Between 4-5 m.o. bilingual and monolingual infants discriminate between languages of the same rhythmic class. However, in behavioral studies, they show contrasting orientation patterns to the native language (1,2). But the origin of this difference is still unknown. The P200 component has previously been related to voice familiarity recognition (3,...

Today, optical imaging technology has become a relevant method in the field of Cognitive Neurosciences. Between 2010 and 2014, the number of published papers in neuroscience and psychology increased by more than 250 % [1]. In comparison with other neuroimaging techniques (e.g. fMRI), functional Near InfraRed Spectroscopy (fNIRS) is easy and flexibl...

Functional Near-Infrared Spectroscopy (fNIRS) is a non-invasive imaging method that allows measuring hemodynamic changes at the cortical level. Functional NIRS has gained interest as a potential alternative to fMRI given the high correlation between Oxyhemoglobin (HbO) changes recorded using fNIRS and the fMRI BOLD signal that reflects the differen...

Time-frequency decompositions (TFDs) are well known techniques that permit to extract useful information or features from EEG signals, being necessary to distinguish between irrelevant information and the features effectively representing the subjacent physiological phenomena, according to some evaluation measure. This work introduces a new method...

This work introduces a new methodology to select EEG channels related to epileptic seizures by electroencephalogram (EEG) rhythms extraction. Rhythms extraction is an alternative to extract useful information from specific band frequencies, analyze changes in the EEG signals, and detect brain abnormalities. In this approach, the EEG signals are mod...

A new method for eye movement artefacts removal based on independent component analysis (ICA) and recursive least squares (RLS) is presented. The proposed algorithm combines the effective ICA capacity of separating artefacts from brain waves, together with the online interference cancellation achieved by adaptive filtering. Eye blink, saccades, eye...

Dimensionality reduction is a well known technique in signal processing oriented to improve both the computational cost and the performance of classifiers. We use an electroencephalogram (EEG) feature matrix based on three extraction methods: tracks extraction, wavelets coefficients and Fractional Fourier Transform. The dimension reduction is perfo...

A finales del siglo xviii, el experimento de Luigi Galvani se ganó el título de «espectáculo de moda»: todo salón de reuniones italiano que se preciara debía ofrecer a sus convidados la posibilidad de gozar del impactante y entretenido fenómeno científico. Los espectadores presenciaban expectantes cómo las patas de una rana se movían bajo el efecto...

The large number of methods for EEG feature extraction demands a good choice for EEG features for every task. This paper compares three subsets of features obtained by tracks extraction method, wavelet transform and fractional Fourier transform. Particularly, we compare the performance of each subset in classification tasks using support vector mac...

This paper describes a new method to identify seizures in electroencephalogram (EEG) signals using feature extraction in time-frequency distributions (TFDs). Particularly, the method extracts features from the Smoothed Pseudo Wigner-Ville distribution using tracks estimated from the McAulay-Quatieri sinusoidal model. The proposed features are the l...

This paper describes a new approach in features extraction using time-frequency distributions (TFDs) for detecting epileptic seizures to identify abnormalities in electroencephalogram (EEG). Particularly, the method extracts features using the Smoothed Pseudo Wigner-Ville distribution combined with the McAulay-Quatieri sinusoidal model and identifi...

5 pages, 4 figures.-- Contributed to: 17th European Signal Processing Conference (EUSIPCO 2009), Glasgow, Scotland, Aug 24-28, 2009. A method to eliminate eye movement artifacts based on Independent Component Analysis (ICA) and Recursive Least Squares (RLS) is presented. The proposed algorithm combines the effective ICA capacity of separating artif...

Experimental results of the new techniques developed in the last decades for time-frequency analysis are presented in the epileptic EEG. The main goal of this paper is to give different characteristics in 33 time-frequency distributions (TFDs) in events like detection and epileptic seizures. Methods from Atomic Decompositions, Energy Distributions,...