2004
DOI: 10.1007/978-3-540-30547-7_33
|View full text |Cite
|
Sign up to set email alerts
|

Classification of Long-Term EEG Recordings

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
8
0

Year Published

2011
2011
2015
2015

Publication Types

Select...
3
2
1

Relationship

0
6

Authors

Journals

citations
Cited by 9 publications
(8 citation statements)
references
References 11 publications
0
8
0
Order By: Relevance
“…When the photon arrival rate has statistically significant change, the signal should be splitted at border of the change to analyse the behaviour of the object (Scargle 1998;Gustafsson 2000). As another example, in processing long-term electroencephalograms, the signal is initially segmented into small epochs to consider them stationary signals as there are many techniques for analysing such signals (Krajca et al 1991;Agarwal and Gotman 1999;Kirlangic et al 2001;Kosar et al 2004;Hassanpour and Shahiri 2007;Anisheh 2009;Anisheh and Hassanpour 2009). Therefore, it is necessary to employ a proper segmentation algorithm to detect the boundaries.…”
Section: Introductionmentioning
confidence: 97%
See 1 more Smart Citation
“…When the photon arrival rate has statistically significant change, the signal should be splitted at border of the change to analyse the behaviour of the object (Scargle 1998;Gustafsson 2000). As another example, in processing long-term electroencephalograms, the signal is initially segmented into small epochs to consider them stationary signals as there are many techniques for analysing such signals (Krajca et al 1991;Agarwal and Gotman 1999;Kirlangic et al 2001;Kosar et al 2004;Hassanpour and Shahiri 2007;Anisheh 2009;Anisheh and Hassanpour 2009). Therefore, it is necessary to employ a proper segmentation algorithm to detect the boundaries.…”
Section: Introductionmentioning
confidence: 97%
“…In many signal processing applications, the signal of interest is initially segmented into small epochs to consider the signal as piece-wise stationary (Krajca, Petranek, Patakova, and Varri 1991;Scargle 1998;Agarwal and Gotman 1999;Gustafsson 2000;Kirlangic et al 2001;Kosar, Lhotska, and Krajca 2004;Hassanpour and Shahiri 2007;Anisheh 2009;Anisheh and Hassanpour 2009). For example, tracking the brightness changes of galactic objects is an important subject in astronomy (Scargle 1998;Gustafsson 2000).…”
Section: Introductionmentioning
confidence: 99%
“…In constant segmentation a signal is segmented into epochs with constant duration [3,4]. Although this method has a simple processing but its performance is extremely low.…”
Section: Introductionmentioning
confidence: 99%
“…For example, an EEG signal recorded from an epileptic patient may be divided into three segments of preictal, ictal, and postictal segments and each of which may have a different time duration [1]. There are a number of methods to segment signals [3][4][5][6][7][8][9].…”
Section: Introductionmentioning
confidence: 99%
“…This method, which is based on mean value and standard deviation of a signal, was used as a preprocessing step for classification of long-term EEG recordings [4].…”
Section: Introductionmentioning
confidence: 99%