通过吸引力动力学分析癫痫发作阶段

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":null,"pages":null},"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\":null,\"pages\":null},\"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}
引用次数: 0

摘要

通过采用非线性动力学特有的数学程序,我们设计出了一种分析癫痫危机所有阶段的方法。可以看出,大脑动力学的每个阶段(正常功能和癫痫危机(危机前、癫痫发作、危机后))都有一个特定的吸引子(通过时间延迟法在状态空间中重建)。此外,由于可以确定每个吸引子的赫斯特系数,我们可以说,癫痫发作的每个阶段都可以通过计算特定的赫斯特系数或计算其分形维度来表征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Analysis of Epileptic Seizures Stages through Attractor Dynamics AWAKE School Intervention Program: Improving Executive Functions and Reducing Social and Emotional Difficulties in School-Aged Children Psychomotric Perspectives of Rehabilitation in Chronic Brachial Plexus Palsies Computer Algebra Systems & Artificial Intelligence David Hume's Skepticism - Expression of the Late Baroque
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1