Complexity quantification of dense array EEG using sample entropy analysis

n this paper, a time series complexity analysis of dense array electroencephalogram signals is carried out using the recently introduced Sample Entropy (SampEn) measure. This statistic quantifies the regularity in signals recorded from systems that can vary from the purely deterministic to purely stochastic realm. The present analysis is conducted with an objective of gaining insight into complexity variations related to changing brain dynamics for EEG recorded from the three cases of passive, eyes closed condition, a mental arithmetic task and the same mental task carried out after a physical exertion task. It is observed that the statistic is a robust quantifier of complexity suited for short physiological signals such as the EEG and it points to the specific brain regions that exhibit lowered complexity during the mental task state as compared to a passive, relaxed state. In the case of mental tasks carried out before and after the performance of a physical exercise, the statistic can detect the variations brought in by the intermediate fatigue inducing exercise period. This enhances its utility in detecting subtle changes in the brain state that can find wider scope for applications in EEG based brain studies.

Characterization and Quantification of Major Biochemical Components and Secondary Metabolites of Some Green and Red Seaweeds from the Kerala Coast

Sea is a huge source to meet our daily needs, lifff(rrsccaaaeyohdpnnmmmimlruCeeeaorcxnefkuuouiaosaae nedparihtnatvesmtrpdmerrdnosi cwrlurlstdo -ofaieasopautiktlaeotnc intcyie,rcensruact irnshtoreitotee nnioipiaeetsnmma oeins oSsdiipdoonu soienadh hnoaae nno ein hctlshlacscnalersadiy i, udif ,y t sec aag bae wo sosc fr eoc a ntsralnoi alfador,oeahtefxneeofl nuc otu h nu imnatofe ratata ncisted rn teoieesdvdxrnnhescceexptsp gmn )ieis oadhitratmtnit dapo imoo i soheiwurc a s- toaaorhpstiie aieaidsr,nrneaedttiod ldenahi s. nctyiitdsl nictsseueavev sSera em d,h,e cdu sbsaeer depsraowe nde ,,cpscn m eaa n hrnfx uiesia tvoitsb memdoytprveatoati ft aisrvfrohceertfr dettogcenitt eo oi euafarsn sgepua srre nwctsamucrmaneoeeuurnworaieostnael aelaut anrtcstptai.iavmula,di sdenetzt et,a rcpn aeHbioetr ren s cttapniwrsibiyredl(nhhar,ciutnele eott Pd yssi naae.aos tgntbfspac uo,h shaalloi tt te eitlisr Tm,nu(eietaa teo s v x-o atvhutotrhdrreb, hqedtdhepy hdloa,fcsevetoesl gguynio uioehueeerlrea rv bpaaepsarti er b acprcepiaiei,chtmanoet rt ttoiilaerovt ahiscyd,tri tft os inktannao oi1nm iitieoccsiirttmdftre,etogcv t0etn.u aino ie pnye seohtmi e aom0oraosad hes lsspa cebnr.nm0end awsae a iiasem)hi vxyn0,ot.iliwPo p o neeingeireb s fTet-chhncaf ttbri el sh,ei tnh chy hbyyonbsaaepivmae .eoa eeeeitlbll,lfdmabern ooos eotltmlayaaiealsccoo,e r ncbtc uw iranuo)dim.aoisgnhlwahp iesn eciysf ot,aeitprOete hes amsecsdh( hfeerdemrh.m.sRiy lfad a i ees dgaosi caeycclag vh T ii illhtasfcTthcuflorccsyloeh aoiol horsot tae shn,csa r.rai erhdrtoa menea,lyxnlesdeh ayrs sao r dcctadi gN e epigep,m etrtapat nn a uy,a reraie oywcrd rahb vireai enepmseacwoanuspnvyyeirepso ntcocrerttassepc c iieeaedohefoaeab me-tnc rie l ndsuhnmaemng i wioi,scgaos tclcaeltnteoeesomaiga eeluaic eieytn, yci ivucnnspi) a.atet.dtfsf,ops g a,is iodgawltbf d hsou,oIenosrwoee a grgino sensoc entoauddrgmeforf h lieureaw o as minaeo nntatb itd t lnuohrhecndieaaratttotoaicssdhndphooyeeaecsssssrffl