{"title":"脑电波段多重分形去趋势波动分析参数的比较研究","authors":"Debdeep Sikdar, M. Chakraborty","doi":"10.1109/ICSMB.2016.7915116","DOIUrl":null,"url":null,"abstract":"In this work, we have studied the EEG signals of different persons under same protocol. The aim of the article is to perform a non-linear analysis of the signal to get a pattern due to similar brain activity. The signals' long scaling behaviour is studied by Multifractal Detrended Fluctuation Analysis (MFDFA). Five bands namely, Delta, Theta, Alpha, Beta, Gamma, are first segregated before fractal analysis and results are compiled for each bands on the parameters - spectrum width, skewness and maxima of the multifactral spectra and the generalized Hurst's exponent.","PeriodicalId":231556,"journal":{"name":"2016 International Conference on Systems in Medicine and Biology (ICSMB)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Comparative study of parameters of Multifractal Detrended Fluctuation Analysis on EEG bands\",\"authors\":\"Debdeep Sikdar, M. Chakraborty\",\"doi\":\"10.1109/ICSMB.2016.7915116\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work, we have studied the EEG signals of different persons under same protocol. The aim of the article is to perform a non-linear analysis of the signal to get a pattern due to similar brain activity. The signals' long scaling behaviour is studied by Multifractal Detrended Fluctuation Analysis (MFDFA). Five bands namely, Delta, Theta, Alpha, Beta, Gamma, are first segregated before fractal analysis and results are compiled for each bands on the parameters - spectrum width, skewness and maxima of the multifactral spectra and the generalized Hurst's exponent.\",\"PeriodicalId\":231556,\"journal\":{\"name\":\"2016 International Conference on Systems in Medicine and Biology (ICSMB)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Systems in Medicine and Biology (ICSMB)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSMB.2016.7915116\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Systems in Medicine and Biology (ICSMB)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSMB.2016.7915116","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparative study of parameters of Multifractal Detrended Fluctuation Analysis on EEG bands
In this work, we have studied the EEG signals of different persons under same protocol. The aim of the article is to perform a non-linear analysis of the signal to get a pattern due to similar brain activity. The signals' long scaling behaviour is studied by Multifractal Detrended Fluctuation Analysis (MFDFA). Five bands namely, Delta, Theta, Alpha, Beta, Gamma, are first segregated before fractal analysis and results are compiled for each bands on the parameters - spectrum width, skewness and maxima of the multifactral spectra and the generalized Hurst's exponent.