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Alzheimer disease diagnosis based on automatic spontaneous speech analysis

Lopez-de-Ipiña, Karmele; Alonso, Jesús B.; Solé-Casals, Jordi; Barroso, Nora; Faundez-Zanuy, Marcos; Ecay-Torres, Miriam; Travieso, Carlos M.; Ezeiza, Aitzol; Estanga, A. (SciTePress - Science and Technology Publications, 2012)

Alzheimer’s disease (AD) is the most prevalent form of progressive degenerative dementia and it has a high socio-economic impact in Western countries, therefore is one of the most active research areas today. Its diagnosis ...
Alzheimer Disease Diagnosis based on Automatic Spontaneous Speech Analysis

Lopez-de-Ipiña, Karmele; Alonso, Jesús B.; Solé-Casals, Jordi; Barroso, Nora; Faundez-Zanuy, Marcos; Ecay-Torres, Miriam; Travieso, Carlos M.; Ezeiza, Aitzol; Estanga, A. (2013)

Alzheimer’s disease (AD) is the most prevalent form of progressive degenerative dementia and it has a high socio-economic impact in Western countries, therefore is one of the most active research areas today. Its diagnosis ...
La cultura como instrumento de bienestar e inclusión social para las personas con Alzheimer: Evaluación del impacto del programa Centro de Cultura Contemporánea de Barcelona - Alzheimer

Simó i Algado, Salvador; Garrido Pedrosa, Jèssica; Pérez, Tere; Geli, Marina; Bugatell Brosa, Anna (Universidad Complutense de Madrid, 2017)

Este artículo presenta la investigación desarrollada en el Centro de Cultura Contemporánea de Barcelona (CCCB) para conocer el impacto de su programa de Alzheimer. Se describe la metodología mixta de la investigación ...
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 ...
Feature extraction approach based on fractal dimension for spontaneous speech modelling oriented to alzheimer disease diagnosis

Lopez-de-Ipiña, Karmele; Egiraun, Harkaitz; Solé-Casals, Jordi; Ecay-Torres, Miriam; Ezeiza, Aitzol; Barroso, Nora; Martinez-Lage, Pablo; Martinez de Lizardui, Unai (Springer, 2013)

Alzheimer's disease (AD) is the most prevalent form of progressive degenerative dementia; it has a high socio-economic impact in Western countries. The purpose of our project is to contribute to earlier diagnosis of AD and ...
Feature selection for automatic analysis of emotional response based on nonlinear speech modeling suitable for diagnosis of Alzheimer׳s disease

Lopez-de-Ipiña, Karmele; Alonso, Jesús B.; Travieso, Carlos M.; Solé-Casals, Jordi; Ezeiza, Aitzol; Faundez-Zanuy, Marcos; Beitia, Blanca; Calvo, Pilar (Elsevier, 2015)

Alzheimer׳s disease (AD) is the most common type of dementia among the elderly. This work is part of a larger study that aims to identify novel technologies and biomarkers or features for the early detection of AD and its ...
Feature selection for spontaneous speech analysis to aid in Alzheimer’s disease diagnosis: A fractal dimension approach

Lopez-de-Ipiña, Karmele; Solé-Casals, Jordi; Egiraun, Harkaitz; Alonso, Jesús B.; Travieso, Carlos M.; Ezeiza, Aitzol; Barroso, Nora; Ecay-Torres, Miriam; Martinez-Lage, Pablo; Beitia, Blanca (Elsevier, 2015)

Alzheimer’s disease (AD) is the most prevalent form of degenerative dementia; it has a high socio-economic impact in Westerncountries. The purpose of our project is to contribute to earlier diagnosis of AD and allow better ...
Global adaptive rank truncated product method for gene-set analysis in association studies

Vilor Tejedor, Natàlia; Calle, M. Luz (Wiley, 2014)

Gene set analysis (GSA) aims to assess the overall association of a set of genetic variants with a phenotype and has the potential to detect subtle effects of variants in a gene or a pathway that might be missed when ...
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 ...
ICA Cleaning procedure for EEG signals analysis: application to Alzheimer's disease detection

Solé-Casals, Jordi; Vialatte, François B.; Pantel, J.; Prvulovic, D.; Haenschel, C.; Cichocki, Andrej (2010)

To develop systems in order to detect Alzheimer’s disease we want to use EEG signals. Available database is raw, so the first step must be to clean signals properly. We propose a new way of ICA cleaning on a database ...
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 ...
Improving the Quality of EEG Data in Patients With Alzheimers Disease Using ICA

Vialatte, François B.; Solé-Casals, Jordi; Maurice, Monique; Latchoumane, Charles-François V.; Hudson, Niegel; Wimalaratna, Sunil R.; Jaeseung, Jeonga; Cichocki, Andrej (Springer, 2008)

Does Independent Component Analysis (ICA) denature EEG signals? We applied ICA to two groups of subjects (mild Alzheimer patients and control subjects). The aim of this study was to examine whether or not the ICA method ...
Methylglyoxal Produced by Amyloid- Peptide-Induced Nitrotyrosination of Triosephosphate Isomerase Triggers Neuronal Death in Alzheimer’s Disease

Tajes, M.; Eraso-Pichot, A.; Rubio-Moscardó, F.; Guivernau, B.; Ramos-Fernández, E.; Bosch-Morató, M.; Guix, F.X.; Clarimón, J.; Miscione, G.P.; Boada, M.; Gil-Gómez, G.; Suzuki, T.; Molina, H.; Villà-Freixa, Jordi; Vicente, R.; Muñoz Silva, Fernando (IOP Press, 2014)

Amyloid-β peptide (Aβ) aggregates induce nitro-oxidative stress, contributing to the characteristic neurodegeneration found in Alzheimer's disease (AD). One of the most strongly nitrotyrosinated proteins in AD is the ...
Multiway Array Decomposition Analysis of EEGs in Alzheimer’s Disease

Latchoumane, Charles-François V.; Vialatte, François B.; Solé-Casals, Jordi; Maurice, Monique; Wimalaratna, Sunil R.; Hudson, Niegel; Jaeseung, Jeonga; Cichocki, Andrej (Elsevier, 2012)

Methods for the extraction of features from physiological datasets are growing needs as clinical investigations of Alzheimer’s disease (AD) in large and heterogeneous population increase. General tools allowing diagnostic ...
New Approaches for Alzheimer’s Disease Diagnosis Based on Automatic Spontaneous Speech Analysis and Emotional Temperature

Lopez-de-Ipiña, Karmele; Alonso, Jesús B.; Barroso, Nora; Faundez-Zanuy, Marcos; Ecay-Torres, Miriam; Solé-Casals, Jordi; Travieso, Carlos M.; Estanga, A.; Ezeiza, Aitzol (Springer, 2012)

Alzheimer Disease (AD) is one of the most common dementia and their socio-economic relevance is growing. Its diagnosis is sometimes made by excluding other dementias, but definitive confirmation must await the ...
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. ...
On Automatic Diagnosis of Alzheimer's Disease based on Spontaneous Speech Analysis and Emotional Temperature

Lopez-de-Ipiña, Karmele; Alonso, Jesús B.; Solé-Casals, Jordi; Barroso, Nora; Henriquez, P.; Faundez-Zanuy, Marcos; Travieso, Carlos M.; Ecay-Torres, Miriam; Martinez-Lage, Pablo; Egiraun, Harkaitz (Springer, 2013)

Alzheimer's disease is the most prevalent form of progressive degenerative dementia; it has a high socio-economic impact in Western countries. Therefore it is one of the most active research areas today. Alzheimer's is ...
On the alzheimer’s disease diagnosis: Automatic spontaneous speech analysis

Lopez-de-Ipiña, Karmele; Solé-Casals, Jordi; Alonso, Jesús B.; Travieso, Carlos M.; Ecay-Torres, Miriam; Martinez-Lage, Pablo (Springer, 2014)

Alzheimer’s disease (AD) is the most prevalent form of progressive degenerative dementia and it has a high socio-economic impact in Western countries therefore is one of the most active research areas today. Its diagnosis ...
On the Selection of Non-Invasive Methods Based on Speech Analysis Oriented to Automatic Alzheimer Disease Diagnosis

Lopez-de-Ipiña, Karmele; Alonso, Jesús B.; Travieso, Carlos M.; Solé-Casals, Jordi; Egiraun, Harkaitz; Faundez-Zanuy, Marcos; Ezeiza, Aitzol; Barroso, Nora; Ecay-Torres, Miriam; Martinez-Lage, Pablo; Martinez de Lizardui, Unai (MDPI, 2013)

The work presented here is part of a larger study to identify novel technologies and biomarkers for early Alzheimer disease (AD) detection and it focuses on evaluating the suitability of a new approach for early AD ...

Now showing items 1-20 of 26

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