{"title":"Analysis of Brain-Heart Couplings in Epilepsy: Dealing With the Highly Complex Structure of Resulting Interaction Pattern","authors":"K. Schiecke, F. Benninger, M. Feucht","doi":"10.23919/Eusipco47968.2020.9287620","DOIUrl":null,"url":null,"abstract":"Investigations into brain-heart interactions are gaining increasing importance in various fields of research including epilepsy. Convergent Cross Mapping (CCM) is one method to quantify such interactions and was adapted for the analysis of children with temporal lobe epilepsy (TLE) in the past. Increasing amount of data and data features available produce a high and still rising complexity of results of such interaction analyses. Therefore, aim of this study was the investigation of generalized presentation of those results using our benchmark data set of children with TLE. Tensor decomposition was adapted to take into account spatial, time, frequency, directional and focus side related modes of interactions results achieved by CCM analysis.","PeriodicalId":6705,"journal":{"name":"2020 28th European Signal Processing Conference (EUSIPCO)","volume":"56 1","pages":"935-939"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 28th European Signal Processing Conference (EUSIPCO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/Eusipco47968.2020.9287620","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Investigations into brain-heart interactions are gaining increasing importance in various fields of research including epilepsy. Convergent Cross Mapping (CCM) is one method to quantify such interactions and was adapted for the analysis of children with temporal lobe epilepsy (TLE) in the past. Increasing amount of data and data features available produce a high and still rising complexity of results of such interaction analyses. Therefore, aim of this study was the investigation of generalized presentation of those results using our benchmark data set of children with TLE. Tensor decomposition was adapted to take into account spatial, time, frequency, directional and focus side related modes of interactions results achieved by CCM analysis.