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Article
Open AccessOn the analysis of speech and disfluencies for automatic detection of Mild Cognitive Impairment
Alzheimer’s disease is characterized by a progressive and irreversible cognitive deterioration. In a previous stage, the so-called Mild Cognitive Impairment or cognitive loss appears. Nevertheless, this previo...
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Chapter and Conference Paper
HAIDA: Biometric Technological Therapy Tools for Neurorehabilitation of Cognitive Impairment
Dementia, and specially Alzheimer’s disease (AD) and Mild Cognitive Impairment (MCI) are one of the most important diseases suffered by elderly population. Music therapy is one of the most widely used non-phar...
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Chapter and Conference Paper
Non-invasive Biosignal Analysis Oriented to Early Diagnosis and Monitoring of Cognitive Impairments
In this paper some of novel and low-cost methodologies are analysed for most common cognitive impairments: Alzheimer disease, Parkinson and Essential Tremor. These methodologies allow us to obtain information ...
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Chapter
Multi-class Versus One-Class Classifier in Spontaneous Speech Analysis Oriented to Alzheimer Disease Diagnosis
of developments require the ability to identify samples that are anomalous with respect to a target group or group, in the sense they could belong to a new, previously unseen class or are not class data...
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Chapter and Conference Paper
Advances in a Multimodal Approach for Dysphagia Analysis Based on Automatic Voice Analysis
Parkinson’s disease (PD) is the second most frequent neurodegenerative disease with prevalence among general population reaching 0.1–1 %, and an annual incidence between 1.3–2.0/10,000 inhabitants. The most ob...
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Article
On Automatic Diagnosis of Alzheimer’s Disease Based on Spontaneous Speech Analysis and Emotional Temperature
Alzheimer’s disease (AD) is the most prevalent form of progressive degenerative dementia; it has a high socioeconomic impact in Western countries. Therefore, it is one of the most active research areas today. ...
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Chapter and Conference Paper
Spontaneous Speech and Emotional Response Modeling Based on One-Class Classifier Oriented to Alzheimer Disease Diagnosis
The purpose of our project is to contribute to earlier diagnosis of AD and better estimates of its severity by using automatic analysis performed through new biomarkers extracted from non-invasive intelligent ...
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Chapter
On the Alzheimer’s Disease Diagnosis: Automatic Spontaneous Speech Analysis
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. I...
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Chapter and Conference Paper
Acoustic Phonetic Decoding Oriented to Multilingual Speech Recognition in the Basque Context
The development of Large Vocabulary Continuous Speech Recognition systems involves issues as: Acoustic Phonetic Decoding, Language Modelling or the development of appropriated Language Resources. In the state ...
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Chapter and Conference Paper
Hybrid Approach for Language Identification Oriented to Multilingual Speech Recognition in the Basque Context
The development of Multilingual Large Vocabulary Continuous Speech Recognition systems involves issues as: Language Identification, Acoustic-Phonetic Decoding, Language Modelling or the development of appropri...
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Chapter and Conference Paper
An Intelligent Tutoring System Oriented to the Integration of People with Intellectual Disabilities
The development of Intelligent Tutoring Systems (ITS) based on mobile platforms offers new perspectives for a better integration of people with intellectual disabilities. The LAGUNTXO System aims to achieve th...
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Chapter and Conference Paper
Emotion Elicitation Oriented to the Development of a Human Emotion Management System for People with Intellectual Disabilities
The integration of people with intellectual disabilities into working and social environments is one of the main issues in applying Information and Communication Technology (ICT) into Assistive Technology fiel...
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Chapter and Conference Paper
A Computer-Aided Decision Support System for Shoulder Pain Pathology
A musculoskeletal disorder is a condition of the musculoskeletal system which consists in that part of it is injured continuously over time. Shoulder disorders are one of the most common musculoskeletal cases ...
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Chapter and Conference Paper
On the Design of a CADS for Shoulder Pain Pathology
A musculoskeletal disorder is a condition of the musculoskeletal system, which consists in part of it being injured continuously over time. Shoulder disorders are one of the most common musculoskeletal cases a...
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Chapter and Conference Paper
Hybrid Approach for Automatic Evaluation of Emotion Elicitation Oriented to People with Intellectual Disabilities
People with intellectual disabilities and elderly need physical and intellectual support to ensuring independent living. This is one of the main issues in applying Information and Communication Technology (ICT...
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Chapter and Conference Paper
First Approach in the Development of Multimedia Information Retrieval Resources for the Basque Context
Information Retrieval (IR) applications require appropriate Multimodal Resources to develop all of their components. The work described in this paper is one of the main steps of a broader project that consists...
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Chapter and Conference Paper
Language Resources for a Bilingual Automatic Index System of Broadcast News in Basque and Spanish
Automatic Indexing of Broadcast News is a develo** research area of great recent interest [1]. This paper describes the development steps for designing an automatic index system of broadcast news for both Ba...
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Chapter and Conference Paper
Decision Tree-Based Context Dependent Sublexical Units for Continuous Speech Recognition of Basque
This paper presents a new methodology, based on the classical decision trees, to get a suitable set of context dependent sublexical units for Basque Continuous Speech Recognition (CSR). The original method pro...
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Chapter and Conference Paper
Selection of Lexical Units for Continuous Speech Recognition of Basque
The selection of appropriate Lexical Units (LUs) is an important issue in the development of Continuous Speech Recognition (CSR) systems. Words have been used classically as the recognition unit in most of the...
