Effectiveness of speech analysis by self-organizing maps in children with developmental language disorders
Language English Country Sweden Media print
Document type Evaluation Study, Journal Article, Research Support, Non-U.S. Gov't
PubMed
19112409
PII: NEL290608A07
Knihovny.cz E-resources
- MeSH
- Algorithms MeSH
- Databases as Topic MeSH
- Diagnosis, Computer-Assisted instrumentation methods MeSH
- Child MeSH
- Electroencephalography MeSH
- Epilepsy complications diagnosis MeSH
- Humans MeSH
- Neural Networks, Computer * MeSH
- Neuropsychological Tests MeSH
- Computer Simulation MeSH
- Polysomnography MeSH
- Child, Preschool MeSH
- Reference Values MeSH
- Cluster Analysis MeSH
- Case-Control Studies MeSH
- Speech Articulation Tests instrumentation methods MeSH
- Computational Biology MeSH
- Language Development Disorders complications diagnosis physiopathology MeSH
- Check Tag
- Child MeSH
- Humans MeSH
- Child, Preschool MeSH
- Publication type
- Journal Article MeSH
- Evaluation Study MeSH
- Research Support, Non-U.S. Gov't MeSH
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.
