Long-Term EEG Records Analysis
This paper presents results of development of long-term EEG records analysis software and its application to real world coma signals. Due to the nature of coma signals, presented methods are also suitable for other types of signals (sleep and neonatal EEG etc.). Digital form of EEG signals makes it...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
VSB-Technical University of Ostrava
2005-01-01
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| Series: | Advances in Electrical and Electronic Engineering |
| Subjects: | |
| Online Access: | http://advances.utc.sk/index.php/AEEE/article/view/257 |
| _version_ | 1797827144653471744 |
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| author | Josef Rieger Lenka Lhotska Vladimir Krajca |
| author_facet | Josef Rieger Lenka Lhotska Vladimir Krajca |
| author_sort | Josef Rieger |
| collection | DOAJ |
| description | This paper presents results of development of long-term EEG records analysis software and its application to real world coma signals. Due to the nature of coma signals, presented methods are also suitable for other types of signals (sleep and neonatal EEG etc.). Digital form of EEG signals makes it possible to use methods of quantitative EEG processing, which are not available in paper form. Quantitative EEG processing techniques include simple statistical methods, filtration, segmentation, classification, coherence analysis, principal and independent component analysis, effective visualization of data, brain mapping etc. All of those tools are developed to ease the work of clinicians.<br /> |
| first_indexed | 2024-04-09T12:43:33Z |
| format | Article |
| id | doaj.art-eee923f9021f4c5a822ec851951f8676 |
| institution | Directory Open Access Journal |
| issn | 1336-1376 1804-3119 |
| language | English |
| last_indexed | 2024-04-09T12:43:33Z |
| publishDate | 2005-01-01 |
| publisher | VSB-Technical University of Ostrava |
| record_format | Article |
| series | Advances in Electrical and Electronic Engineering |
| spelling | doaj.art-eee923f9021f4c5a822ec851951f86762023-05-14T20:50:05ZengVSB-Technical University of OstravaAdvances in Electrical and Electronic Engineering1336-13761804-31192005-01-0143151156284Long-Term EEG Records AnalysisJosef Rieger0Lenka Lhotska1Vladimir Krajca2České vysoké učení technické v PrazeČeské vysoké učení technické v PrazeFakultní nemocnice Na BulovceThis paper presents results of development of long-term EEG records analysis software and its application to real world coma signals. Due to the nature of coma signals, presented methods are also suitable for other types of signals (sleep and neonatal EEG etc.). Digital form of EEG signals makes it possible to use methods of quantitative EEG processing, which are not available in paper form. Quantitative EEG processing techniques include simple statistical methods, filtration, segmentation, classification, coherence analysis, principal and independent component analysis, effective visualization of data, brain mapping etc. All of those tools are developed to ease the work of clinicians.<br />http://advances.utc.sk/index.php/AEEE/article/view/257long-term eegquantitative eeg processingeffective visualization. |
| spellingShingle | Josef Rieger Lenka Lhotska Vladimir Krajca Long-Term EEG Records Analysis Advances in Electrical and Electronic Engineering long-term eeg quantitative eeg processing effective visualization. |
| title | Long-Term EEG Records Analysis |
| title_full | Long-Term EEG Records Analysis |
| title_fullStr | Long-Term EEG Records Analysis |
| title_full_unstemmed | Long-Term EEG Records Analysis |
| title_short | Long-Term EEG Records Analysis |
| title_sort | long term eeg records analysis |
| topic | long-term eeg quantitative eeg processing effective visualization. |
| url | http://advances.utc.sk/index.php/AEEE/article/view/257 |
| work_keys_str_mv | AT josefrieger longtermeegrecordsanalysis AT lenkalhotska longtermeegrecordsanalysis AT vladimirkrajca longtermeegrecordsanalysis |