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Visual and automatic classification of the cyclic alternating pattern in electroencephalography during sleep
Cyclic alternating pattern (CAP) is a neurophysiological pattern that can be visually scored by international criteria. The aim of this study was to verify the feasibility of visual CAP scoring using only one channel of sleep electroencephalogram (EEG) to evaluate the inter-scorer agreement in a var...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Associação Brasileira de Divulgação Científica
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6393849/ https://www.ncbi.nlm.nih.gov/pubmed/30810623 http://dx.doi.org/10.1590/1414-431X20188059 |
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author | Largo, R. Lopes, M.C. Spruyt, K. Guilleminault, C. Wang, Y.P. Rosa, A.C. |
author_facet | Largo, R. Lopes, M.C. Spruyt, K. Guilleminault, C. Wang, Y.P. Rosa, A.C. |
author_sort | Largo, R. |
collection | PubMed |
description | Cyclic alternating pattern (CAP) is a neurophysiological pattern that can be visually scored by international criteria. The aim of this study was to verify the feasibility of visual CAP scoring using only one channel of sleep electroencephalogram (EEG) to evaluate the inter-scorer agreement in a variety of recordings, and to compare agreement between visual scoring and automatic scoring systems. Sixteen hours of single-channel European data format recordings from four different sleep laboratories with either C4-A1 or C3-A2 channels and with different sampling frequencies were used in this study. Seven independent scorers applied visual scoring according to international criteria. Two automatic blind scorings were also evaluated. Event-based inter-scorer agreement analysis was performed. The pairwise inter-scorer agreement (PWISA) was between 55.5 and 84.3%. The average PWISA was above 60% for all scorers and the global average was 69.9%. Automatic scoring systems showed similar results to those of visual scoring. The study showed that CAP could be scored using only one EEG channel. Therefore, CAP scoring might also be integrated in sleep scoring features and automatic scoring systems having similar performances to visual sleep scoring systems. |
format | Online Article Text |
id | pubmed-6393849 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Associação Brasileira de Divulgação Científica |
record_format | MEDLINE/PubMed |
spelling | pubmed-63938492019-03-22 Visual and automatic classification of the cyclic alternating pattern in electroencephalography during sleep Largo, R. Lopes, M.C. Spruyt, K. Guilleminault, C. Wang, Y.P. Rosa, A.C. Braz J Med Biol Res Research Article Cyclic alternating pattern (CAP) is a neurophysiological pattern that can be visually scored by international criteria. The aim of this study was to verify the feasibility of visual CAP scoring using only one channel of sleep electroencephalogram (EEG) to evaluate the inter-scorer agreement in a variety of recordings, and to compare agreement between visual scoring and automatic scoring systems. Sixteen hours of single-channel European data format recordings from four different sleep laboratories with either C4-A1 or C3-A2 channels and with different sampling frequencies were used in this study. Seven independent scorers applied visual scoring according to international criteria. Two automatic blind scorings were also evaluated. Event-based inter-scorer agreement analysis was performed. The pairwise inter-scorer agreement (PWISA) was between 55.5 and 84.3%. The average PWISA was above 60% for all scorers and the global average was 69.9%. Automatic scoring systems showed similar results to those of visual scoring. The study showed that CAP could be scored using only one EEG channel. Therefore, CAP scoring might also be integrated in sleep scoring features and automatic scoring systems having similar performances to visual sleep scoring systems. Associação Brasileira de Divulgação Científica 2019-02-25 /pmc/articles/PMC6393849/ /pubmed/30810623 http://dx.doi.org/10.1590/1414-431X20188059 Text en https://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Largo, R. Lopes, M.C. Spruyt, K. Guilleminault, C. Wang, Y.P. Rosa, A.C. Visual and automatic classification of the cyclic alternating pattern in electroencephalography during sleep |
title | Visual and automatic classification of the cyclic alternating pattern in electroencephalography during sleep |
title_full | Visual and automatic classification of the cyclic alternating pattern in electroencephalography during sleep |
title_fullStr | Visual and automatic classification of the cyclic alternating pattern in electroencephalography during sleep |
title_full_unstemmed | Visual and automatic classification of the cyclic alternating pattern in electroencephalography during sleep |
title_short | Visual and automatic classification of the cyclic alternating pattern in electroencephalography during sleep |
title_sort | visual and automatic classification of the cyclic alternating pattern in electroencephalography during sleep |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6393849/ https://www.ncbi.nlm.nih.gov/pubmed/30810623 http://dx.doi.org/10.1590/1414-431X20188059 |
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