arousals-detection
Science Score: 54.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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✓DOI references
Found 2 DOI reference(s) in README -
✓Academic publication links
Links to: sciencedirect.com -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (7.6%) to scientific vocabulary
Keywords
Repository
Basic Info
- Host: GitHub
- Owner: bigsasi
- License: gpl-3.0
- Language: MATLAB
- Default Branch: master
- Size: 45.2 MB
Statistics
- Stars: 5
- Watchers: 2
- Forks: 5
- Open Issues: 1
- Releases: 0
Topics
Metadata Files
README.md
Automatic detection of EEG arousals in EDF files
Algorithm for the automatic detection of EEG arousals using EDF files. Based on the following works:
D. Alvarez-Estevez, I. Fernández-Varela, Large-scale validation of an automatic EEG arousal detection algorithm using different heterogeneous databases. Sleep Medicine, vol. 57, pp. 6-14, 2019
I. Fernández-Varela, D. Alvarez-Estevez, E. Hernández-Pereira, V. Moret-Bonillo, A simple and robust method for the automatic scoring of EEG arousals in polysomnographic recordings. Computers in Biology and Medicine, vol. 87, pp. 77-86, 2017
How to use it
Run the startup.m script from the project root folder.
Follow the example available in the Example folder.
Dependencies
Matlab version >= 7.1 (as per libs/xml/xml_parseany.m)
Signal Processing Toolbox (as per libs/qrs/nqrsdetect.m)
Citing
This work can be cited using:
``` @article{Fernandez-Varela2017, author = {Fern{\'{a}}ndez-Varela, Isaac and Alvarez-Estevez, Diego and Hern{\'{a}}ndez-Pereira, Elena and Moret-Bonillo, Vicente}, doi = {10.1016/J.COMPBIOMED.2017.05.011}, issn = {0010-4825}, journal = {Computers in Biology and Medicine}, month = {aug}, pages = {77--86}, publisher = {Pergamon}, title = {{A simple and robust method for the automatic scoring of EEG arousals in polysomnographic recordings}}, url = {https://www.sciencedirect.com/science/article/pii/S0010482517301336}, volume = {87}, year = {2017} }
@article{Alvarez-Estevez2019, author = {Alvarez-Estevez, Diego and Fern{\'{a}}ndez-Varela, Isaac}, doi = {10.1016/j.sleep.2019.01.025}, issn = {1389-9457}, journal = {Sleep Medicine}, month = {may}, pages = {6--14}, publisher = {Elsevier}, title = {{Large-scale validation of an automatic EEG arousal detection algorithm using different heterogeneous databases}}, url = {https://www.sciencedirect.com/science/article/pii/S1389945718303198}, volume = {57}, year = {2019} }
```
Owner
- Name: Isaac Fernández
- Login: bigsasi
- Kind: user
- Repositories: 3
- Profile: https://github.com/bigsasi
Citation (CITATION.bib)
@article{Fernandez-Varela2017,
author = {Fern{\'{a}}ndez-Varela, Isaac and Alvarez-Estevez, Diego and Hern{\'{a}}ndez-Pereira, Elena and Moret-Bonillo, Vicente},
doi = {10.1016/J.COMPBIOMED.2017.05.011},
issn = {0010-4825},
journal = {Computers in Biology and Medicine},
month = {aug},
pages = {77--86},
publisher = {Pergamon},
title = {{A simple and robust method for the automatic scoring of EEG arousals in polysomnographic recordings}},
url = {https://www.sciencedirect.com/science/article/pii/S0010482517301336},
volume = {87},
year = {2017}
}
@article{Alvarez-Estevez2019,
author = {Alvarez-Estevez, Diego and Fern{\'{a}}ndez-Varela, Isaac},
doi = {10.1016/j.sleep.2019.01.025},
issn = {1389-9457},
journal = {Sleep Medicine},
month = {may},
pages = {6--14},
publisher = {Elsevier},
title = {{Large-scale validation of an automatic EEG arousal detection algorithm using different heterogeneous databases}},
url = {https://www.sciencedirect.com/science/article/pii/S1389945718303198},
volume = {57},
year = {2019}
}
GitHub Events
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Last Year
- Issues event: 2
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