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Consulteu per autor "Gallego Jutglà, Esteve"

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Automatic detection of laryngeal pathologies in running speech based on the HMM transformation of the nonlinear dynamics

Travieso, Carlos M.; Alonso, Jesús B.; Orozco-Arroyave, J.R.; Solé-Casals, Jordi; Gallego Jutglà, Esteve (Springer, 2013)

This work describes a novel system for characterizing Laryngeal Pathologies using nonlinear dynamics, considering different complexity measures that are mainly based on the analysis of the time delay embedded space. The ...
Diagnosis of Alzheimer’s Disease from EEG by Means of Synchrony Measures in Optimized Frequency Bands

Gallego Jutglà, Esteve; Elgendi, Mohamed; Vialatte, François B.; Solé-Casals, Jordi; Cichocki, Andrej; Jaeseung, Jeonga; Dauwels, Justin; Latchoumane, Charles-François V. (Institute of Electrical and Electronic Engineers, IEEE, 2012)

Several clinical studies have reported that EEG synchrony is affected by Alzheimer’s disease (AD). In this paper a frequency band analysis of AD EEG signals is presented, with the aim of improving the diagnosis of AD using ...
EEG signal analysis via a cleaning procedure based on multivariate empirical mode decomposition

Gallego Jutglà, Esteve; Rutkowski, E.; Cichocki, Andrej; Solé-Casals, Jordi (SciTePress - Science and Technology Publications, 2012)

Artifacts are present in most of the electroencephalography (EEG) recordings, making it difficult to interpret or analyze the data. In this paper a cleaning procedure based on a multivariate extension of empirical ...
Eliminació d'artefactes en EGG mitjançant l'ús de la Multivariate Empirical Mode Decomposition

Gallego Jutglà, Esteve (23-09-2011)

La tècnica de l’electroencefalograma (EEG) és una de les tècniques més utilitzades per estudiar el cervell. En aquesta tècnica s’enregistren els senyals elèctrics que es produeixen en el còrtex humà a través d’elèctrod ...
Empirical mode decomposition-based face recognition system

Gallego Jutglà, Esteve; Lopez-de-Ipiña, Karmele; Solé-Casals, Jordi (Springer, 2013)

In this work we explore the multivariate empirical mode decomposition combined with a Neural Network classifier as technique for face recognition tasks. Images are simultaneously decomposed by means of EMD and then the ...
Face recognition by fast and stable bi-dimensional empirical mode decomposition

Gallego Jutglà, Esteve; Al-Baddai, Saad; Al-Subari, Karema; Tomé, Ana Maria; Lang, Elmar W.; Solé-Casals, Jordi (SciTePress - Science and Technology Publications, 2015)

In this study the use of a new fast and stable decomposition technique, bi-dimensional empirical mode decomposition, is used for face recognition tasks. Images are decomposed individually, and then the distance with ...
A hybrid feature selection approach for the early diagnosis of Alzheimer's disease

Gallego Jutglà, Esteve; Solé-Casals, Jordi; Vialatte, François B.; Elgendi, Mohamed; Cichocki, Andrej; Dauwels, Justin (IOS Press, 2015)

Objective. Recently, significant advances have been made in the early diagnosis of Alzheimer’s disease from EEG. However, choosing suitable measures is a challenging task. Among other measures, frequency Relative Power and ...
Improving Early Diagnosis of Alzheimer's Disease Using Synchrony Measures

Gallego Jutglà, Esteve; Solé-Casals, Jordi (IOS Press, 2013)

It is well-known that Alzheimer's disease causes changes on the electroencephalography of the patients. However those changes are difficult to parameterize. In this paper a new ratio between synchrony in 0 and a band ...
New signal processing and machine learning methods for EEG data analysis of patients with Alzheimer's disease

Gallego Jutglà, Esteve (Universitat de Vic - Universitat Central de Catalunya, 06-03-2015)

Les malalties neurodegeneratives són un conjunt de malalties que afecten al cervell. Aquestes malalties estan relacionades amb la pèrdua progressiva de l'estructura o la funció de les neurones, incloent-hi la mort d'aquestes. ...
Speech Enhancement: A Multivariate Empirical Mode Decomposition Approach

Solé-Casals, Jordi; Gallego Jutglà, Esteve; Martí i Puig, Pere; Travieso, Carlos M.; Alonso, Jesús B. (Springer, 2013)

Speech signals in real scenario ambient are usually mixed with some other signals, such as noise. This may interfere with posterior signal processing applied to the signals. In this work, a new technique of data denoising ...
A Theta-Band EEG Based Index for Early Diagnosis of Alzheimer’s Disease

Gallego Jutglà, Esteve; Solé-Casals, Jordi; Vialatte, François B.; Dauwels, Justin; Cichocki, Andrej (IOS Press, 2015)

Despite recent advances, early diagnosis of Alzheimer’s disease (AD) from electroencephalography (EEG) remains a difficult task. In this paper, we offer an added measure through which such early diagnoses can potentially ...
Towards a low-complex breathing monitoring system based on acoustic signals

Martí i Puig, Pere; Solé-Casals, Jordi; Masferrer Caralt, Gerard; Gallego Jutglà, Esteve (Springer, 2013)

Monitoring the breathing is required in many applications of medical and health fields, but it can be used also in new game applications, for example. In this work, an automatic system for monitoring the breathing is ...

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Consulteu per autor "Gallego Jutglà, Esteve"

Consulteu per autor "Gallego Jutglà, Esteve"

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