Naslov
Data mining time series of human locomotion data based on functional approximation

Autori
Ergović, Vladimir ; Tonković, Stanko ; Medved, Vladimir ; Kasović, Mario

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

Izvornik
IFMBE Proceedings MEDICON 2007, Vol. 16 / Jarm, Tomaz ; Kramar, Peter ; Županić, Anze - Ljubljana, 2007, 677-680

ISBN
978-3-540-73043-9

Skup
11th Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON 2007)

Mjesto i datum
Ljubljana, Slovenija, 26.06.2007. - 30.06.2007

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
data mining; time series; human gait; approximation methods; disorder classification

Sažetak
In many of medical application specially one considering time sequence data like data describing human gait, searching through large, unstructured databases based on sample sequence is often desirable. Such similarity-based retrieval has attracted a great deal of attention in recent years. Although several different approaches have appeared, most are not specialized for the problem of human locomotion. This paper gives an overview of one proposed approach how to efficiency process human gait by using Fourier's series approximation, genetic algorithms for coefficients corrections and Spectral Signatures as data mining method. This paper shows how these methods fit into a general context of signature extraction and disorder recognition in the human gait case.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Kliničke medicinske znanosti, Informacijske i komunikacijske znanosti

POVEZANOST RADA