Title Modeling of human physiological parameters in an e-laboratory by SOM neural networks
Translation of Title Моделирование физиологических параметров человека в е-лаборатории SOM нейронными сетями.
Translation of Title Žmogaus fiziologinių parametrų modeliavimas e-laboratorijoje SOM neuroniniais tinklais.
Authors Bielskis, A.A ; Denisov, V ; Kučinskas, G ; Ramašauskas, O ; Romas, N
Full Text Download
Is Part of Electronics and electrical engineering = Электроника и электротехника = Elektronika ir elektrotechnika.. Kaunas : Technologija. 2007, no. 3 (75), p. 77-82.. ISSN 1392-1215. eISSN 2029-5731
Keywords [eng] Bioinformatics ; Neural networks (computer science) ; Algorithms
Abstract [eng] An approach of interpreting some bioinformatics data using Self-Organizing Map (SOM) type neural networks is described. The ways are proposed constructing intelligent program tools of embedded agents to collect ECG and EEG data for academic usage in a virtual e-laboratory. A SOM-based diagnostic algorithm is proposed interpreting data from Medical databases donated by University of California Machine Learning Page hosts, etc. By applying SOM for EEG data of Colorado State University, methods recognizing some unified mental tasks performed by different subjects are proposed. It is also shown that knowledge discovered by SOM data interpretation can be involved in a process of e-tutoring of students and learners of bioinformatics.
Published Kaunas : Technologija
Type Journal article
Language English
Publication date 2007