Phase irregularity: A conceptually simple and efficient approach to characterize electroencephalographic recordings from epilepsy patients [source code and workspaces]
This dataset provides you with the source codes and results underlying the manuscript: Espinoso A and Andrzejak RG. 2022. Phase irregularity: A conceptually simple and efficient approach to characterize electroencephalographic recordings from epilepsy patients. Phys. Rev. E. 105, 034212. In order to...
| Authors: | , |
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| Format: | conjunto de datos |
| Publication Date: | 2021 |
| Country: | España |
| Institution: | Consorci de Serveis Universitaris de Catalunya (CSUC) |
| Repository: | CORA.Repositori de Dades de Recerca |
| OAI Identifier: | oai:dnet:cora.rdr____::58c0013829740058f1d8a1ca0165a654 |
| Online Access: | https://doi.org/10.34810/DATA182 |
| Access Level: | Open access |
| Keyword: | Medicine, Health and Life Sciences Epilepsy EEG Phase irregularity Seizure-free Quantitative EEG analysis |
| Summary: | This dataset provides you with the source codes and results underlying the manuscript: Espinoso A and Andrzejak RG. 2022. Phase irregularity: A conceptually simple and efficient approach to characterize electroencephalographic recordings from epilepsy patients. Phys. Rev. E. 105, 034212. In order to understand the source code, you should first read the manuscript. All the detailed information explaining how to use the source code and how the results are organized can be found in the readme file. The code is done using MATLAB and it uses the same notation for mathematical symbols as in the manuscript. Additional comments can be found throughout the source code. The code files starting by "EA" are done for obtaining the results of the manuscript Espinoso 2022. The code files starting by "ASR" were used for obtaining surrogates and filter the signals. If you use these last mentioned codes, please cite the following paper: Andrzejak RG, Schindler K, Rummel C. Nonrandomness, nonlinear dependence, and nonstationarity of electroencephalographic recordings from epilepsy patients. Phys. Rev. E, 86, 046206, 2012 To get started with the code for obtaining the EEG results open EA_EEG_Main.m, and for the Rössler results open EA_Rossler_Main.m. We have tested the code, and to the best of our knowledge it has no bugs. In case you have any questions or problems, please contact us. The same results obtained in the paper for the EEG and Rössler are available in MATLAB format. Please, read the important remark in the readme file. If you run the analysis using the codes provided here, you will not get identical results as in the paper. This is the reason why we provide the identical results here. |
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