Napredna pretraga

Pregled bibliografske jedinice broj: 358516

Applicability of Qualitative ECG Processing to Wearable Computing


Bogunović, Nikola; Šmuc, Tomislav
Applicability of Qualitative ECG Processing to Wearable Computing // Proceedings of the 5th International Workshop and Symposium on Wearable and Implanzable Body Sensor Networks / Zhang, Yuan-ting (ur.).
Hong Kong: IEEE, 2008. str. 133-136 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Applicability of Qualitative ECG Processing to Wearable Computing

Autori
Bogunović, Nikola ; Šmuc, Tomislav

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

Izvornik
Proceedings of the 5th International Workshop and Symposium on Wearable and Implanzable Body Sensor Networks / Zhang, Yuan-ting - Hong Kong : IEEE, 2008, 133-136

Skup
5th International Workshop and Symposium on Wearable and Implantable Body Sensor Networks

Mjesto i datum
Hong Kong, Kina, 01-03.06.2008

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
ECG processing; data mining; signal classification; wearable computing

Sažetak
Studies of ECG time-series properties and complexities are significant part of the research on the possibilities to automate ECG classification by a wearable body computer. Numerous statistical measures, as well as more recently introduced non-linear and complexity measures provide the basis for signal classification, prediction of events, and discovery of underlying systems and models expressing the observed heart dynamics. This paper presents qualitative signal discretization, based on persistent state trend definition. This transformation results in a compact symbolic sequence representation of the original time series. The information content of the transformed sequence is assessed using some of the classic signal complexity and similarity measures, adapted to the new representation. The presented methodology is applied to ECG time signals classification.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo



POVEZANOST RADA


Projekt / tema
036-0362980-1921 - Računalne okoline za sveprisutne raspodijeljene sustave (Siniša Srbljić, )
098-0982560-2563 - Algoritmi strojnog učenja i njihova primjena (Dragan Gamberger, )
098-0982560-2565 - Postupci računalne inteligencije u mjernim sustavima (Ivan Marić, )

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