Early Diagnosis of Alzheimer’s Type Dementia Using Continuous Speech Recognition

Vassilis Baldas; Charalampos Lampiris; Christos Capsalis; Dimitrios Koutsouris

Wireless Mobile Communication and Healthcare. Second International ICST Conference, MobiHealth 2010, Ayia Napa, Cyprus, October 18-20, 2010. Revised Selected Papers

Research Article

Early Diagnosis of Alzheimer’s Type Dementia Using Continuous Speech Recognition

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@INPROCEEDINGS{10.1007/978-3-642-20865-2_14,
    author={Vassilis Baldas and Charalampos Lampiris and Christos Capsalis and Dimitrios Koutsouris},
    title={Early Diagnosis of Alzheimer’s Type Dementia Using Continuous Speech Recognition},
    proceedings={Wireless Mobile Communication and Healthcare. Second International ICST Conference, MobiHealth 2010, Ayia Napa, Cyprus, October 18-20, 2010. Revised Selected Papers},
    proceedings_a={MOBIHEALTH},
    year={2012},
    month={5},
    keywords={Dementia Alzheimer Continuous Speech Recognition Speech Analysis},
    doi={10.1007/978-3-642-20865-2_14}
}

Vassilis Baldas
Charalampos Lampiris
Christos Capsalis
Dimitrios Koutsouris
Year: 2012
Early Diagnosis of Alzheimer’s Type Dementia Using Continuous Speech Recognition
MOBIHEALTH
Springer
DOI: 10.1007/978-3-642-20865-2_14

Vassilis Baldas¹^,*, Charalampos Lampiris¹^,*, Christos Capsalis¹^,*, Dimitrios Koutsouris¹^,*

1: National Technical University of Athens

*Contact email: baldas@biomed.ntua.gr, clamp@mail.ntua.gr, ccaps@central.ntua.gr, dkoutsou@biomed.ntua.gr

Abstract

One of the most important social problems that many of the developed countries face is the constant rise of the percentage of the elderly population values. A major health issue affecting this part of the population is the appearance of dementia of the Alzheimers type (AD) which is the most common case of dementia, affecting around 50 million people worldwide. In addition, the frequency of the AD related cases is expected to grow three times over the next 50 years.

Keywords: Dementia Alzheimer Continuous Speech Recognition Speech Analysis

Published: 2012-05-28

: http://dx.doi.org/10.1007/978-3-642-20865-2_14