Literature DB >> 19112409

Effectiveness of speech analysis by self-organizing maps in children with developmental language disorders.

Jana Tuckova1, Vladimir Komarek.   

Abstract

At present, more and more researchers are applying tested mathematical-engineering methods into different domains of life. One of these areas is helping people with different forms of disabilities. Research in this area is focused on searching for the relation between clinical and electrophysiological symptoms of children with developmental dysphasia. Sleep EEG and speech analyses are the primary areas under discussion, while the finding of methods acceptable for improvement of the diagnosis and determination of therapeutic procedures is the research topic. It is possible to reduce fundamentally, or to cure optimally these disorders in advanced diagnosis. Therefore it is important to search for new methods and to combine what has been used separately till now.

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Year:  2008        PMID: 19112409

Source DB:  PubMed          Journal:  Neuro Endocrinol Lett        ISSN: 0172-780X            Impact factor:   0.765


  2 in total

1.  Speech Databases of Typical Children and Children with SLI.

Authors:  Pavel Grill; Jana Tučková
Journal:  PLoS One       Date:  2016-03-10       Impact factor: 3.240

2.  Sch-net: a deep learning architecture for automatic detection of schizophrenia.

Authors:  Jia Fu; Sen Yang; Fei He; Ling He; Yuanyuan Li; Jing Zhang; Xi Xiong
Journal:  Biomed Eng Online       Date:  2021-08-03       Impact factor: 2.819

  2 in total

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