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Pregled bibliografske jedinice broj: 420693

Feature Set Extension for Heart Rate Variability Analysis by Using Non-linear, Statistical and Geometric Measures

Jović, Alan; Bogunović, Nikola
Feature Set Extension for Heart Rate Variability Analysis by Using Non-linear, Statistical and Geometric Measures // Proceedings of the ITI 2009, 31st International Conference on Information Technology Interfaces / Luzar-Stiffler, Vesna ; Jarec, Iva ; Bekić, Zoran (ur.).
Zagreb: Sveučilišni računski centar Sveučilišta u Zagrebu (Srce), 2009. str. 35-40 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

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Naslov
Feature Set Extension for Heart Rate Variability Analysis by Using Non-linear, Statistical and Geometric Measures

Autori
Jović, Alan ; Bogunović, Nikola

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

Izvornik
Proceedings of the ITI 2009, 31st International Conference on Information Technology Interfaces / Luzar-Stiffler, Vesna ; Jarec, Iva ; Bekić, Zoran - Zagreb : Sveučilišni računski centar Sveučilišta u Zagrebu (Srce), 2009, 35-40

ISBN
978-953-7138-15-8

Skup
31st International Conference on Information Technology Interfaces, ITI 2009

Mjesto i datum
Dubrovnik, Hrvatska; Cavtat, Hrvatska, 22.06.2009. - 25.06.2009

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
non-linear analysis; geometric features; ECG classification; classification algorithms; random forest; RIPPER

Sažetak
The goal of this paper is to evaluate the application of a combination of heart rate variability features on successful classification of known heart disorders. We propose an extension over our previous work, which employs 11 features, both from non-linear and linear analysis of heart rate variability. The features were extracted from electrocardiogram recordings and analyzed in Weka system for data mining using several well-known classification algorithms: C4.5 decision tree, Bayesian network, random forest, and RIPPER rules. Significance of each feature is analyzed and the algorithms' success rates are compared. The selected combination of features has a high classification potential.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Kliničke medicinske znanosti



POVEZANOST RADA

Ustanove:
Fakultet elektrotehnike i računarstva, 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 Set Extension for Heart Rate Variability Analysis by Using Non-linear, Statistical and Geometric Measures // Proceedings of the ITI 2009, 31st International Conference on Information Technology Interfaces / Luzar-Stiffler, Vesna ; Jarec, Iva ; Bekić, Zoran (ur.).
Zagreb: Sveučilišni računski centar Sveučilišta u Zagrebu (Srce), 2009. str. 35-40 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Jović, A. & Bogunović, N. (2009) Feature Set Extension for Heart Rate Variability Analysis by Using Non-linear, Statistical and Geometric Measures. U: Luzar-Stiffler, V., Jarec, I. & Bekić, Z. (ur.)Proceedings of the ITI 2009, 31st International Conference on Information Technology Interfaces.
@article{article, author = {Jovi\'{c}, Alan and Bogunovi\'{c}, Nikola}, year = {2009}, pages = {35-40}, keywords = {non-linear analysis, geometric features, ECG classification, classification algorithms, random forest, RIPPER}, isbn = {978-953-7138-15-8}, title = {Feature Set Extension for Heart Rate Variability Analysis by Using Non-linear, Statistical and Geometric Measures}, keyword = {non-linear analysis, geometric features, ECG classification, classification algorithms, random forest, RIPPER}, publisher = {Sveu\v{c}ili\v{s}ni ra\v{c}unski centar Sveu\v{c}ili\v{s}ta u Zagrebu (Srce)}, publisherplace = {Dubrovnik, Hrvatska; Cavtat, Hrvatska} }
@article{article, author = {Jovi\'{c}, Alan and Bogunovi\'{c}, Nikola}, year = {2009}, pages = {35-40}, keywords = {non-linear analysis, geometric features, ECG classification, classification algorithms, random forest, RIPPER}, isbn = {978-953-7138-15-8}, title = {Feature Set Extension for Heart Rate Variability Analysis by Using Non-linear, Statistical and Geometric Measures}, keyword = {non-linear analysis, geometric features, ECG classification, classification algorithms, random forest, RIPPER}, publisher = {Sveu\v{c}ili\v{s}ni ra\v{c}unski centar Sveu\v{c}ili\v{s}ta u Zagrebu (Srce)}, publisherplace = {Dubrovnik, Hrvatska; Cavtat, Hrvatska} }

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