Effectiveness of speech analysis by self-organizing maps in children with developmental language disorders.
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.
Tuckova
Jana
J
Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Republic. tuckova@fel.cvut.cz
Komarek
Vladimir
V
D000465:Algorithms; D016022:Case-Control Studies; D002648:Child; D002675:Child, Preschool; D016000:Cluster Analysis; D019295:Computational Biology; D003198:Computer Simulation; D019992:Databases as Topic; D003936:Diagnosis, Computer-Assisted / Q000295:instrumentation / Q000379:methods*; D004569:Electroencephalography; D004827:Epilepsy / Q000150:complications / Q000175:diagnosis*; D006801:Humans; D007805:Language Development Disorders / Q000150:complications / Q000175:diagnosis* / Q000503:physiopathology; D016571:Neural Networks, Computer; D009483:Neuropsychological Tests; D017286:Polysomnography; D012016:Reference Values; D013062:Speech Articulation Tests / Q000295:instrumentation / Q000379:methods*