Add to ORKGInternational audienceThis paper considers the problem of change-point detection for noisy data. Estimation of signal frequency content relies on differential algebra and non-commutative algebra together with operational calculus. We adapt this approach to the study of changes that may be observed in EEG signal dynamics during epileptic seizure and in ECG signal during the occurrence of a QRS complex. The correlation with frequency change is what this idea is based on. The interest of our estimator is firstly il lustrated according to several academic examples. Then, the method is applied on real physiological signals to detect abrupt frequency changes
© 2015 Gajic, Djurovic, Gligorijevic, Di Gennaro and Savic-Gajic. We present a new technique for det...
Symptoms of epilepsy, which is characterized by abnormal brain electrical activity, can be observed ...
10 pages, 6 figures.-- PMID: 20217264.This paper describes a new method to identify seizures in ele...
International audienceThis paper considers the problem of change-point detection for noisy data. Est...
Abstract This paper considers the problem of change-point detection for noisy data. Estimation of si...
We investigated change point detection (CPD) in time series composed of harmonic functions driven by...
This paper considers the general problem of detecting change in non-stationary signals using feature...
This paper considers the general problem of detecting change in non-stationary signals using feature...
This paper describes adaptive time frequency analysis of EEG signals, both in theory as well as in p...
The goal in this article is to develop a practical tool that identifies changes in the brain activit...
Change point detection is a critical analysis in various scientific fields such as finance, medicine...
The scientic framework of this thesis is the modeling of electrophysiologicals signals bymodern tool...
International audienceThis paper is aimed at presenting the two main classes of nonstationary signal...
Introduction: In this paper, a novel complexity measure is proposed to detect dynamical changes in n...
proceeding of the workshop 'Fouille de données temporelles et analyse de flux de données' EGC'2009, ...
© 2015 Gajic, Djurovic, Gligorijevic, Di Gennaro and Savic-Gajic. We present a new technique for det...
Symptoms of epilepsy, which is characterized by abnormal brain electrical activity, can be observed ...
10 pages, 6 figures.-- PMID: 20217264.This paper describes a new method to identify seizures in ele...
International audienceThis paper considers the problem of change-point detection for noisy data. Est...
Abstract This paper considers the problem of change-point detection for noisy data. Estimation of si...
We investigated change point detection (CPD) in time series composed of harmonic functions driven by...
This paper considers the general problem of detecting change in non-stationary signals using feature...
This paper considers the general problem of detecting change in non-stationary signals using feature...
This paper describes adaptive time frequency analysis of EEG signals, both in theory as well as in p...
The goal in this article is to develop a practical tool that identifies changes in the brain activit...
Change point detection is a critical analysis in various scientific fields such as finance, medicine...
The scientic framework of this thesis is the modeling of electrophysiologicals signals bymodern tool...
International audienceThis paper is aimed at presenting the two main classes of nonstationary signal...
Introduction: In this paper, a novel complexity measure is proposed to detect dynamical changes in n...
proceeding of the workshop 'Fouille de données temporelles et analyse de flux de données' EGC'2009, ...
© 2015 Gajic, Djurovic, Gligorijevic, Di Gennaro and Savic-Gajic. We present a new technique for det...
Symptoms of epilepsy, which is characterized by abnormal brain electrical activity, can be observed ...
10 pages, 6 figures.-- PMID: 20217264.This paper describes a new method to identify seizures in ele...