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Methodical and hardware-software for recording and processing speech signals for diagnosis of neurological diseases

Authors :
T. P. Kul
M. M. Mezhennaya
Yu. N. Rushkevich
A. N. Osipov
S. A. Likhachev
I. V. Rushkevich
Source :
Informatika, Vol 16, Iss 2, Pp 27-39 (2019)
Publication Year :
2019
Publisher :
The United Institute of Informatics Problems of the National Academy of Sciences of Belarus, 2019.

Abstract

The methodical and hardware-software on the basis of processing and analysis of speech signals for operative and objective diagnostics of neurological pathologies accompanied by speech function disorders are offered. The testing of developed methodological and software tools was carried out on the basis of the Republican Scientific and Practical Center of Neurology and Neurosurgery of the Ministry of Healthcare of Belarus and the Belarusian State University of Informatics and Radioelectronics. The results of testing revealed qualitative (based on the obtained spectrogram, kepstrogram, histogram) and quantitative (based on calculated parameters) differences between the parameters of speech signals in normal and bulbar syndrome. Preliminary results of the research confirmed the feasibility of using the methodological and hardware-software for registration and processing speech signals for diagnosis of neurological diseases.

Details

Language :
Russian
ISSN :
18160301
Volume :
16
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Informatika
Publication Type :
Academic Journal
Accession number :
edsdoj.3cf219c4748b404d99eef698004f7d61
Document Type :
article