Naslov
Processing and Analysis of Biomedical Nonlinear Signals by Data Mining Methods

Autori
Bogunović, Nikola ; Jović, Alan

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of IWSSIP 2010 / Leta, Fabiana R. ; Conci, Aura - Rio de Janeiro : EdUFF Editora da Universidade Federal Fluminense, 2010, 276-279

ISBN
978-85-228-0565-5

Skup
17th International Conference on Systems, Signals and Image Processing, IWSSIP 2010

Mjesto i datum
Rio de Janeiro, Brazil, 17.06.2010. - 19.06.2010

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Nonlinear signal processing; Chaos theory; Data mining; Clustering; Classification

Sažetak
The paper demonstrates a nonlinear signal processing method based on an approach found in intelligent data mining. ECG signals were used as an interesting and readily available representative nonlinear domain. These signals were fed in an innovative software platform for feature extraction based on chaos theory. The resultant files were loaded into an open source machine learning software for clustering and classification analysis. The results depict 78% clustering and around 90% classification accuracy rate, which is quite impressive considering the number of features involved in the study.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Kliničke medicinske znanosti

POVEZANOST RADA