{"id":"https://openalex.org/W4393973401","doi":"https://doi.org/10.1109/ncc60321.2024.10485963","title":"Chromatic Alpha Complex Generation for EEG Signal Classification","display_name":"Chromatic Alpha Complex Generation for EEG Signal Classification","publication_year":2024,"publication_date":"2024-02-28","ids":{"openalex":"https://openalex.org/W4393973401","doi":"https://doi.org/10.1109/ncc60321.2024.10485963"},"language":"en","primary_location":{"id":"doi:10.1109/ncc60321.2024.10485963","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc60321.2024.10485963","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 National Conference on Communications (NCC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5017775122","display_name":"Srikireddy Dhanunjay Reddy","orcid":"https://orcid.org/0009-0007-0226-9133"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Srikireddy Dhanunjay Reddy","raw_affiliation_strings":["Indian Institute of Technology, Roorkee,Department of ECE,Roorkee,India","Department of ECE, Indian Institute of Technology, Roorkee, Roorkee, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Roorkee,Department of ECE,Roorkee,India","institution_ids":["https://openalex.org/I154851008"]},{"raw_affiliation_string":"Department of ECE, Indian Institute of Technology, Roorkee, Roorkee, India","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004713888","display_name":"Tharun Kumar Reddy","orcid":"https://orcid.org/0000-0001-7873-4889"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tharun Kumar Reddy","raw_affiliation_strings":["Indian Institute of Technology, Roorkee,Department of ECE,Roorkee,India","Department of ECE, Indian Institute of Technology, Roorkee, Roorkee, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Roorkee,Department of ECE,Roorkee,India","institution_ids":["https://openalex.org/I154851008"]},{"raw_affiliation_string":"Department of ECE, Indian Institute of Technology, Roorkee, Roorkee, India","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100617176","display_name":"Hiroshi Higashi","orcid":"https://orcid.org/0000-0001-8880-3411"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Higashi","raw_affiliation_strings":["Kyoto University,Department of Systems Science,Kyoto,Japan","Department of Systems Science, Kyoto University, Kyoto, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University,Department of Systems Science,Kyoto,Japan","institution_ids":["https://openalex.org/I22299242"]},{"raw_affiliation_string":"Department of Systems Science, Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.6215,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.9524838,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.8418999910354614,"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"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.8418999910354614,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7050755620002747},{"id":"https://openalex.org/keywords/alpha","display_name":"Alpha (finance)","score":0.6548712253570557},{"id":"https://openalex.org/keywords/chromatic-scale","display_name":"Chromatic scale","score":0.641365110874176},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5487951040267944},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4854901134967804},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4749995470046997},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.39431118965148926},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38751035928726196},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.1521129310131073},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12407851219177246},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1231774389743805},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12312901020050049},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.11623293161392212},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.068012535572052}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7050755620002747},{"id":"https://openalex.org/C64943373","wikidata":"https://www.wikidata.org/wiki/Q2651003","display_name":"Alpha (finance)","level":4,"score":0.6548712253570557},{"id":"https://openalex.org/C196956537","wikidata":"https://www.wikidata.org/wiki/Q202021","display_name":"Chromatic scale","level":2,"score":0.641365110874176},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5487951040267944},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4854901134967804},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4749995470046997},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39431118965148926},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38751035928726196},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1521129310131073},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12407851219177246},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1231774389743805},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12312901020050049},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.11623293161392212},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.068012535572052},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C171606756","wikidata":"https://www.wikidata.org/wiki/Q506132","display_name":"Psychometrics","level":2,"score":0.0},{"id":"https://openalex.org/C49453240","wikidata":"https://www.wikidata.org/wiki/Q1592163","display_name":"Construct validity","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ncc60321.2024.10485963","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc60321.2024.10485963","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 National Conference on Communications (NCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2000879295","https://openalex.org/W2519531315","https://openalex.org/W2888132296","https://openalex.org/W2949426853","https://openalex.org/W2975672594","https://openalex.org/W3087412765","https://openalex.org/W3136073903","https://openalex.org/W3172787012","https://openalex.org/W3202868818","https://openalex.org/W3210954310","https://openalex.org/W4283821770","https://openalex.org/W4310885434","https://openalex.org/W4372266018","https://openalex.org/W4387487363","https://openalex.org/W6864515872","https://openalex.org/W6963291513"],"related_works":["https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W2130428257","https://openalex.org/W4308951944","https://openalex.org/W2057366091","https://openalex.org/W2049513647","https://openalex.org/W2988848585","https://openalex.org/W4233722919","https://openalex.org/W4323929055","https://openalex.org/W4312960290"],"abstract_inverted_index":{"Electroencephalogram":[0],"(EEG)":[1],"is":[2,127],"high":[3],"dimensional":[4],"complex":[5],"data":[6,117],"resembling":[7],"the":[8,14,39,49,78,92,111,141,145,155,164,171],"electric":[9,15],"conduction":[10],"of":[11,19,36,53,74,95,113,118,140,147,157,174],"neurons.":[12],"Ana-lyzing":[13],"activity":[16],"and":[17,29,47,64,72,98,104],"complexity":[18,173],"EEG":[20,37,75],"signals":[21],"became":[22],"difficult":[23],"due":[24],"to":[25,87],"its":[26],"inherent":[27],"non-stationarity":[28],"non-euclidean":[30,175],"manifold":[31,176],"nature.":[32],"These":[33],"intricate":[34],"characteristics":[35],"make":[38],"Machine":[40],"Learning":[41],"(ML)":[42],"model":[43,165],"laborious":[44],"in":[45,122,162],"characterizing":[46],"classifying":[48],"underlying":[50,172],"structural":[51,70,160],"connectivity":[52],"neurological":[54,89],"disorders.":[55],"Very":[56],"few":[57],"studies":[58],"are":[59],"conducted":[60],"on":[61],"computational":[62,96],"geometry":[63,97],"Topological":[65],"Data":[66],"Analysis":[67],"(TDA)":[68],"for":[69],"analysis":[71,161],"classification":[73,158],"signals.":[76],"For":[77],"first":[79],"time,":[80],"this":[81],"paper":[82],"proposes":[83],"a":[84],"novel":[85],"technique":[86],"classify":[88],"disorders":[90],"through":[91],"ensembling":[93],"approach":[94,143],"TDA.":[99],"The":[100],"proposed":[101,142],"Voronoi":[102],"Tessellation":[103],"chromatic":[105,119],"Alpha":[106],"Complex":[107],"(VTAC)":[108],"framework":[109,125],"shows":[110,154],"efficacy":[112],"using":[114,159],"persistent":[115],"homological":[116],"alpha":[120],"complexes":[121],"classification.":[123],"VTAC":[124],"robustness":[126],"assessed":[128],"with":[129,135],"publicly":[130],"available":[131],"multiple":[132],"standard":[133],"datasets":[134],"different":[136],"specifications.":[137],"Performance":[138],"metrics":[139],"reveal":[144],"gain":[146],"10.5%":[148],"accuracy":[149],"over":[150],"baseline":[151],"models.":[152],"This":[153],"potentiality":[156],"increasing":[163],"performance":[166],"as":[167,169],"well":[168],"understanding":[170],"modalities.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
