Mоlimо vаs kоristitе оvај idеntifikаtоr zа citirаnjе ili оvај link dо оvе stаvkе:
https://open.uns.ac.rs/handle/123456789/13581
Nаziv: | Multiscale and moving average entropy: Statistical dependence in stressed subjects | Аutоri: | Lončar-Turukalo, Tatjana Sarenac O. Japundzic-Zigon N. Bajić, Dragana |
Dаtum izdаvаnjа: | 1-дец-2009 | Čаsоpis: | SISY 2009 - 7th International Symposium on Intelligent Systems and Informatics | Sažetak: | The complexity quantification of physiologic signals is a field of considerable importance since loss of complexity has been proposed as a generic feature of pathological systems. This paper investigates entropy of the preprocessed time series of different laboratory animals-normal and borderline hypertensive rats. The systolic blood pressure and heart rate were recorded before the stress, during the first 20 min exposure to stress, after the first exposure and after the last exposure to stress. The preprocessing included high-pass filtered, normalized and centralized original time series, its moving averaged and multiscaled counterparts, as well as surrogate data and Gaussian samples. © 2009 IEEE. | URI: | https://open.uns.ac.rs/handle/123456789/13581 | ISBN: | 9781424453498 | DOI: | 10.1109/SISY.2009.5291154 |
Nаlаzi sе u kоlеkciјаmа: | FTN Publikacije/Publications |
Prikаzаti cеlоkupаn zаpis stаvki
SCOPUSTM
Nаvоđеnjа
1
prоvеrеnо 20.05.2023.
Prеglеd/i stаnicа
41
Prоtеklа nеdеljа
10
10
Prоtеkli mеsеc
8
8
prоvеrеnо 10.05.2024.
Google ScholarTM
Prоvеritе
Аlt mеtrikа
Stаvkе nа DSpace-u su zаštićеnе аutоrskim prаvimа, sа svim prаvimа zаdržаnim, оsim аkо nije drugačije naznačeno.