V. Ghizdovat, L. Dobreci, A. Șlicaru, M. Cristuță, D. Dimitriu, Cipriana Stefanescu, D. Vasincu, Razvan-V. Ababei, C. Volovăț, M. Agop, Lucian Eva, S. Volovat
{"title":"通过吸引力动力学分析癫痫发作阶段","authors":"V. Ghizdovat, L. Dobreci, A. Șlicaru, M. Cristuță, D. Dimitriu, Cipriana Stefanescu, D. Vasincu, Razvan-V. Ababei, C. Volovăț, M. Agop, Lucian Eva, S. Volovat","doi":"10.18662/brain/15.2/570","DOIUrl":null,"url":null,"abstract":"By employing mathematical procedures specific to non-linear dynamics, we devised a method for analyzing all the stages of an epileptic crisis. It can be seen that a specific attractor (reconstructed in the states space by time delay method) can be associated with each stage of the brain dynamics: normal functioning and epileptic crisis (pre-crisis, epileptic seizure, post-crisis). Moreover, since for each attractor a Hurst coefficient can be determined, we can state that each stage of an epileptic seizure can be characterized either by calculating the specific Hurst coefficient, or by calculating its fractal dimension.","PeriodicalId":504804,"journal":{"name":"BRAIN. Broad Research in Artificial Intelligence and Neuroscience","volume":" 48","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of Epileptic Seizures Stages through Attractor Dynamics\",\"authors\":\"V. Ghizdovat, L. Dobreci, A. Șlicaru, M. Cristuță, D. Dimitriu, Cipriana Stefanescu, D. Vasincu, Razvan-V. Ababei, C. Volovăț, M. Agop, Lucian Eva, S. Volovat\",\"doi\":\"10.18662/brain/15.2/570\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"By employing mathematical procedures specific to non-linear dynamics, we devised a method for analyzing all the stages of an epileptic crisis. It can be seen that a specific attractor (reconstructed in the states space by time delay method) can be associated with each stage of the brain dynamics: normal functioning and epileptic crisis (pre-crisis, epileptic seizure, post-crisis). Moreover, since for each attractor a Hurst coefficient can be determined, we can state that each stage of an epileptic seizure can be characterized either by calculating the specific Hurst coefficient, or by calculating its fractal dimension.\",\"PeriodicalId\":504804,\"journal\":{\"name\":\"BRAIN. Broad Research in Artificial Intelligence and Neuroscience\",\"volume\":\" 48\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BRAIN. Broad Research in Artificial Intelligence and Neuroscience\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18662/brain/15.2/570\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BRAIN. Broad Research in Artificial Intelligence and Neuroscience","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18662/brain/15.2/570","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of Epileptic Seizures Stages through Attractor Dynamics
By employing mathematical procedures specific to non-linear dynamics, we devised a method for analyzing all the stages of an epileptic crisis. It can be seen that a specific attractor (reconstructed in the states space by time delay method) can be associated with each stage of the brain dynamics: normal functioning and epileptic crisis (pre-crisis, epileptic seizure, post-crisis). Moreover, since for each attractor a Hurst coefficient can be determined, we can state that each stage of an epileptic seizure can be characterized either by calculating the specific Hurst coefficient, or by calculating its fractal dimension.