Pretraga

Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 301355

Feature Extraction for ECG Time-Series Mining Based on Chaos Theory

Jović, Alan; Bogunović, Nikola
Feature Extraction for ECG Time-Series Mining Based on Chaos Theory // Proceedings of the ITI 2007 29th International Conference on Information Technology Interfaces / Luzar - Stiffler, Vesna ; Hljuz Dobric, Vesna (ur.).
Zagreb, 2007. str. 63-68 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

CROSBI ID: 301355 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Feature Extraction for ECG Time-Series Mining Based on Chaos Theory

Autori
Jović, Alan ; Bogunović, Nikola

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

Izvornik
Proceedings of the ITI 2007 29th International Conference on Information Technology Interfaces / Luzar - Stiffler, Vesna ; Hljuz Dobric, Vesna - Zagreb, 2007, 63-68

ISBN
978-953-7138-10-3

Skup
29th International Conference on Information Technology Interfaces, ITI 2007

Mjesto i datum
Dubrovnik, Hrvatska; Cavtat, Hrvatska, 25.06.2007. - 28.06.2007

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
chaos theory; feature extraction; ECG analysis

Sažetak
Chaos theory applied to ECG feature extraction is presented in this article. Several chaos methods, including phase space and attractors, correlation dimension, spatial filling index, central tendency measure and approximate entropy are explained in detail. A new feature extraction environment called ECG Chaos Extractor has been created in order to apply these chaos methods. System model and program functions are presented. Some of the obtained results are listed. Future work in this field of research is discussed.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Računarstvo, Kliničke medicinske znanosti



POVEZANOST RADA

Projekti:
098-0982560-2563 - Algoritmi strojnog učenja i njihova primjena (Gamberger, Dragan, MZOS ) ( CroRIS)

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Institut "Ruđer Bošković", Zagreb

Profili:

Avatar Url Nikola Bogunović (autor)

Avatar Url Alan Jović (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada

Citiraj ovu publikaciju:

Jović, Alan; Bogunović, Nikola
Feature Extraction for ECG Time-Series Mining Based on Chaos Theory // Proceedings of the ITI 2007 29th International Conference on Information Technology Interfaces / Luzar - Stiffler, Vesna ; Hljuz Dobric, Vesna (ur.).
Zagreb, 2007. str. 63-68 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Jović, A. & Bogunović, N. (2007) Feature Extraction for ECG Time-Series Mining Based on Chaos Theory. U: Luzar - Stiffler, V. & Hljuz Dobric, V. (ur.)Proceedings of the ITI 2007 29th International Conference on Information Technology Interfaces.
@article{article, author = {Jovi\'{c}, Alan and Bogunovi\'{c}, Nikola}, year = {2007}, pages = {63-68}, keywords = {chaos theory, feature extraction, ECG analysis}, isbn = {978-953-7138-10-3}, title = {Feature Extraction for ECG Time-Series Mining Based on Chaos Theory}, keyword = {chaos theory, feature extraction, ECG analysis}, publisherplace = {Dubrovnik, Hrvatska; Cavtat, Hrvatska} }
@article{article, author = {Jovi\'{c}, Alan and Bogunovi\'{c}, Nikola}, year = {2007}, pages = {63-68}, keywords = {chaos theory, feature extraction, ECG analysis}, isbn = {978-953-7138-10-3}, title = {Feature Extraction for ECG Time-Series Mining Based on Chaos Theory}, keyword = {chaos theory, feature extraction, ECG analysis}, publisherplace = {Dubrovnik, Hrvatska; Cavtat, Hrvatska} }

Podijeli:





Contrast
Increase Font
Decrease Font
Dyslexic Font
CROSBI koristi kolačiće (cookies) kako bi poboljšao funkcionalnost stranice.