Warning: Undefined array key "mm" in /www/wwwroot/www.ai-bt.com/si.php on line 10 Deprecated: trim(): Passing null to parameter #1 ($string) of type string is deprecated in /www/wwwroot/www.ai-bt.com/si.php on line 10 A simple system for detection of EEG artifacts in polysomnographic recordings.

Literature DB >> 12723066

A simple system for detection of EEG artifacts in polysomnographic recordings.

P J Durka¹, H Klekowicz, K J Blinowska, W Szelenberger, Sz Niemcewicz.

Abstract

We present an efficient parametric system for automatic detection of electroencephalogram (EEG) artifacts in polysomnographic recordings. For each of the selected types of artifacts, a relevant parameter was calculated for a given epoch. If any of these parameters exceeded a threshold, the epoch was marked as an artifact. Performance of the system, evaluated on 18 overnight polysomnographic recordings, revealed concordance with decisions of human experts close to the interexpert agreement and the repeatability of expert's decisions, assessed via a double-blind test. Complete software (Matlab source code) for the presented system is freely available from the Internet at http://brain.fuw.edu.pl/artifacts.

Entities: Species

Mesh：

Year: 2003 PMID： 12723066 DOI： 10.1109/TBME.2003.809476

Source DB: PubMed Journal: IEEE Trans Biomed Eng ISSN： 0018-9294 Impact factor: 4.538

Keyword Cloud
Cited

8 in total

1. EEG signal analysis: a survey.

Authors: D Puthankattil Subha; Paul K Joseph; Rajendra Acharya U; Choo Min Lim
Journal: J Med Syst Date: 2010-04 Impact factor: 4.460

2. On the robust parametric detection of EEG artifacts in polysomnographic recordings.

Authors: H Klekowicz; U Malinowska; A J Piotrowska; D Wołyńczyk-Gmaj; Sz Niemcewicz; P J Durka
Journal: Neuroinformatics Date: 2009-03-24

3. An automated algorithm to identify and reject artefacts for quantitative EEG analysis during sleep in patients with sleep-disordered breathing.

Authors: Angela L D'Rozario; George C Dungan; Siobhan Banks; Peter Y Liu; Keith K H Wong; Roo Killick; Ronald R Grunstein; Jong Won Kim
Journal: Sleep Breath Date: 2014-09-16 Impact factor: 2.816

A simple system for detection of EEG artifacts in polysomnographic recordings.

1. EEG signal analysis: a survey.

2. On the robust parametric detection of EEG artifacts in polysomnographic recordings.

3. An automated algorithm to identify and reject artefacts for quantitative EEG analysis during sleep in patients with sleep-disordered breathing.

4. Ensemble classifier for epileptic seizure detection for imperfect EEG data.

5. Design and Characterization of an EEG-Hat for Reliable EEG Measurements.

6. Infant functional networks are modulated by state of consciousness and circadian rhythm.

7. Unsupervised Event Characterization and Detection in Multichannel Signals: An EEG application.

8. A study on EEG feature extraction and classification in autistic children based on singular spectrum analysis method.