{"id":"https://openalex.org/W4385478175","doi":"https://doi.org/10.1109/icasspw59220.2023.10193324","title":"A New Multiway MFDM Based Technique For EEG Source Localisation And Interpretation","display_name":"A New Multiway MFDM Based Technique For EEG Source Localisation And Interpretation","publication_year":2023,"publication_date":"2023-06-04","ids":{"openalex":"https://openalex.org/W4385478175","doi":"https://doi.org/10.1109/icasspw59220.2023.10193324"},"language":"en","primary_location":{"id":"doi:10.1109/icasspw59220.2023.10193324","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icasspw59220.2023.10193324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002087556","display_name":"Anchal Yadav","orcid":null},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Anchal Yadav","raw_affiliation_strings":["CARE,Indian Institute of Technology Delhi(IITD),India","CARE,Indian Institute of Technology Delhi(IITD), India"],"affiliations":[{"raw_affiliation_string":"CARE,Indian Institute of Technology Delhi(IITD),India","institution_ids":["https://openalex.org/I68891433"]},{"raw_affiliation_string":"CARE,Indian Institute of Technology Delhi(IITD), India","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070194088","display_name":"Monika Agrawal","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100472","display_name":"Care India","ror":"https://ror.org/00xj74h46","country_code":"IN","type":"nonprofit","lineage":["https://openalex.org/I4210100472"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Monika Agrawal","raw_affiliation_strings":["CARE, IITD,India","CARE, IITD, India"],"affiliations":[{"raw_affiliation_string":"CARE, IITD,India","institution_ids":["https://openalex.org/I4210100472"]},{"raw_affiliation_string":"CARE, IITD, India","institution_ids":["https://openalex.org/I4210100472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107655888","display_name":"Shiv Dutt Joshi","orcid":"https://orcid.org/0000-0002-0326-0524"},"institutions":[{"id":"https://openalex.org/I4210161522","display_name":"Indian Institute of Dalit Studies","ror":"https://ror.org/04w1vws04","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210161522"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S.D. Joshi","raw_affiliation_strings":["IITD,Department of Electrical Engineering,India","Department of Electrical Engineering, IITD, India"],"affiliations":[{"raw_affiliation_string":"IITD,Department of Electrical Engineering,India","institution_ids":["https://openalex.org/I4210161522"]},{"raw_affiliation_string":"Department of Electrical Engineering, IITD, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002087556"],"corresponding_institution_ids":["https://openalex.org/I68891433"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08513302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"24 suppl d","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7436845898628235},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6649094820022583},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.6042636632919312},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5593901872634888},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5549060106277466},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4736175239086151},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4422038793563843},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.4321556091308594},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.43113434314727783},{"id":"https://openalex.org/keywords/tensor-decomposition","display_name":"Tensor decomposition","score":0.4247661530971527},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.42454758286476135},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3495177626609802},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3267386555671692},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24383318424224854},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09126383066177368},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.09120789170265198},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06798180937767029}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7436845898628235},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6649094820022583},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6042636632919312},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5593901872634888},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5549060106277466},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4736175239086151},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4422038793563843},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.4321556091308594},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.43113434314727783},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.4247661530971527},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.42454758286476135},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3495177626609802},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3267386555671692},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24383318424224854},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09126383066177368},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.09120789170265198},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06798180937767029},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icasspw59220.2023.10193324","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icasspw59220.2023.10193324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W245658","https://openalex.org/W197076444","https://openalex.org/W1430048851","https://openalex.org/W1518101062","https://openalex.org/W1974718273","https://openalex.org/W2008114373","https://openalex.org/W2082261920","https://openalex.org/W2103981232","https://openalex.org/W2115141757","https://openalex.org/W2130863149","https://openalex.org/W2162800060","https://openalex.org/W2166073443","https://openalex.org/W2215275813","https://openalex.org/W2294767061","https://openalex.org/W2765422541","https://openalex.org/W2897167319","https://openalex.org/W2910134385","https://openalex.org/W2927702442","https://openalex.org/W3011169272","https://openalex.org/W3037635896","https://openalex.org/W3102382472","https://openalex.org/W3200511949","https://openalex.org/W4240394644","https://openalex.org/W4283813674","https://openalex.org/W6631132188"],"related_works":["https://openalex.org/W2118307209","https://openalex.org/W2107364365","https://openalex.org/W2046761971","https://openalex.org/W2553224454","https://openalex.org/W4281722104","https://openalex.org/W2803458999","https://openalex.org/W2765453402","https://openalex.org/W1497843931","https://openalex.org/W1503525627","https://openalex.org/W1785857632"],"abstract_inverted_index":{"The":[0,100],"clinical":[1],"applications":[2],"of":[3,12,50],"EEG":[4,55,79,122],"Source":[5],"Localization":[6],"are":[7,93,102,128],"seen":[8],"in":[9,137],"the":[10,97,134],"analysis":[11],"epilepsy,":[13],"schizophrenia,":[14],"Parkinson,":[15],"stress,":[16],"and":[17,91,111,132],"tumor.":[18],"This":[19],"paper":[20],"proposes":[21],"a":[22,29,39,47,52],"novel":[23,48],"brain":[24],"source":[25,98],"localization":[26,87],"method":[27,136],"using":[28,45,66],"multiway":[30,40],"Multivariate":[31],"Fourier":[32],"Decomposition":[33,69],"Method":[34],"(MFDM)":[35],"based":[36,116],"technique.":[37],"Firstly,":[38],"array":[41],"(tensor)":[42],"is":[43,60,74],"formed":[44],"MFDM,":[46],"way":[49],"forming":[51],"tensor":[53,59,117],"from":[54],"signals.":[56],"Then,":[57],"this":[58],"decomposed":[61],"into":[62],"various":[63],"independent":[64,72,84],"components":[65],"Canonical":[67],"Polyadic":[68],"(CPD).":[70],"Each":[71],"component":[73],"used":[75,94,129],"to":[76,82,95,130],"reconstruct":[77],"separate":[78],"signals":[80,123],"corresponding":[81],"every":[83],"source.":[85],"Lastly,":[86],"techniques":[88],"like":[89,107],"SPICE":[90],"LIKES":[92],"obtain":[96],"locations.":[99],"results":[101],"compared":[103],"with":[104],"traditional":[105],"methods":[106],"MNE,":[108],"sLORETA,":[109],"LASSO,":[110],"Space":[112],"Time":[113],"Frequency":[114],"(STF)":[115],"decomposition":[118],"method.":[119],"Further,":[120],"real":[121,138],"during":[124],"an":[125],"arithmetic":[126],"task":[127],"support":[131],"verify":[133],"proposed":[135],"application.":[139]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
