<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Electroencephalogram (EEG) analysis consists of locating signal structtures in time and frequency. A detection method based on the Matching Pursuit Algorithms finds the suboptimal solution of the function optimal linear expansion over a redundant waveform dictionary. This paper has put forth a method for the automatic detection and analysis of transient waves during sleep based on the matching pursuit method with a real dictionary og Gabor functions. Each wave peak is described in terms of natural parameters. In this context, there have been confirmed several literature hypotheses regarding the spatial, temporal, and frequency distribution of transient waves during sleep, and their relationships with slow wave brain activity. Mastery and expertise in clinical EEG interpretation is one of the most desirable disgnostic clinical skills in interpreting seizures, epilepsy, sleep disorder, biomarkers for early disgnosis of Parkinson’s and Alzheimer’s disease, and other neurocognitive studies.</p></abstract>

Electroencephalogram (EEG) analysis consists of locating signal structtures in time and frequency. A detection method based on the Matching Pursuit Algorithms finds the suboptimal solution of the function optimal linear expansion over a redundant waveform dictionary. This paper has put forth a method for the automatic detection and analysis of transient waves during sleep based on the matching pursuit method with a real dictionary og Gabor functions. Each wave peak is described in terms of natural parameters. In this context, there have been confirmed several literature hypotheses regarding the spatial, temporal, and frequency distribution of transient waves during sleep, and their relationships with slow wave brain activity. Mastery and expertise in clinical EEG interpretation is one of the most desirable disgnostic clinical skills in interpreting seizures, epilepsy, sleep disorder, biomarkers for early disgnosis of Parkinson’s and Alzheimer’s disease, and other neurocognitive studies.

Analysis and Detection of EEG Transient Waves During Sleep

ARS Medica Tomitana

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Analysis and Detection of EEG Transient Waves During Sleep"}

Electroencephalogram (EEG) analysis consists of locating signal structtures in time and frequency. A detection method based on the Matching Pursuit Algorithms...

Analysis and Detection of EEG Transient Waves During Sleep

Data publikacji: 25 sty 2019

Zakres stron: 133 - 143

DOI: https://doi.org/10.2478/arsm-2018-0025

Słowa kluczowe
matching pursuit, discrete Gabor functions, EEG analysis, non-stationary signals, multicomponent signals

© 2018 Ionescu Ana-Maria et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Analysis and Detection of EEG Transient Waves During Sleep

Data publikacji: 25 sty 2019

Zakres stron: 133 - 143

DOI: https://doi.org/10.2478/arsm-2018-0025

Słowa kluczowematching pursuit, discrete Gabor functions, EEG analysis, non-stationary signals, multicomponent signals

© 2018 Ionescu Ana-Maria et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Słowa kluczowe
matching pursuit, discrete Gabor functions, EEG analysis, non-stationary signals, multicomponent signals