{"id":"https://openalex.org/W7134232609","doi":"https://doi.org/10.1007/s44443-026-00524-w","title":"MST-HGCN: A multimodal spatio-temporal hypergraph convolutional network for infantile spasms detection","display_name":"MST-HGCN: A multimodal spatio-temporal hypergraph convolutional network for infantile spasms detection","publication_year":2026,"publication_date":"2026-03-09","ids":{"openalex":"https://openalex.org/W7134232609","doi":"https://doi.org/10.1007/s44443-026-00524-w"},"language":"en","primary_location":{"id":"doi:10.1007/s44443-026-00524-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-026-00524-w","pdf_url":null,"source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1007/s44443-026-00524-w","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128390238","display_name":"Yi Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Wang","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, Shenyang, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128621995","display_name":"Haoran Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Haoran Luo","raw_affiliation_strings":["College of Computing and Data Science, Nanyang Technological University, Nanyang, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computing and Data Science, Nanyang Technological University, Nanyang, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lu Meng","orcid":"https://orcid.org/0000-0003-4808-2175"},"institutions":[{"id":"https://openalex.org/I14894300","display_name":"Foshan University","ror":"https://ror.org/02xvvvp28","country_code":"CN","type":"education","lineage":["https://openalex.org/I14894300"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lu Meng","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, Shenyang, Liaoning, China","Foshan Graduate School of Innovation, Northeastern University, Foshan, China"],"raw_orcid":"https://orcid.org/0000-0003-4808-2175","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Foshan Graduate School of Innovation, Northeastern University, Foshan, China","institution_ids":["https://openalex.org/I14894300","https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5121071726","display_name":"Yuying Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I91656880","display_name":"China Medical University","ror":"https://ror.org/032d4f246","country_code":"CN","type":"education","lineage":["https://openalex.org/I91656880"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuying Fan","raw_affiliation_strings":["Department of Pediatrics, Shenyang Hospital of China Medical University, 110819, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pediatrics, Shenyang Hospital of China Medical University, 110819, Shenyang, China","institution_ids":["https://openalex.org/I91656880"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I14894300","https://openalex.org/I9224756"],"apc_list":{"value":1350,"currency":"USD","value_usd":1350},"apc_paid":{"value":1350,"currency":"USD","value_usd":1350},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30457781,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":"5","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.5370000004768372,"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":0.5370000004768372,"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/T11184","display_name":"Neonatal and fetal brain pathology","score":0.1581999957561493,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10094","display_name":"Epilepsy research and treatment","score":0.08150000125169754,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.633400022983551},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.49939998984336853},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4596000015735626},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4496999979019165},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.44929999113082886},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.3208000063896179}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.751800000667572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6638000011444092},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.633400022983551},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.49939998984336853},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4596000015735626},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4496999979019165},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.44929999113082886},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35420000553131104},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3208000063896179},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.2976999878883362},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.27399998903274536},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.25870001316070557}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44443-026-00524-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-026-00524-w","pdf_url":null,"source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6c8bd04360fd4d64ba344a85611dbd94","is_oa":true,"landing_page_url":"https://doaj.org/article/6c8bd04360fd4d64ba344a85611dbd94","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of King Saud University: Computer and Information Sciences, Vol 38, Iss 5 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44443-026-00524-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-026-00524-w","pdf_url":null,"source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2516226675","display_name":null,"funder_award_id":"2025A1515011602","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G5123990320","display_name":null,"funder_award_id":"62073061","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1996669654","https://openalex.org/W2077491345","https://openalex.org/W2086841066","https://openalex.org/W2096733369","https://openalex.org/W2109582949","https://openalex.org/W2399084771","https://openalex.org/W2766075405","https://openalex.org/W2794854865","https://openalex.org/W2796747736","https://openalex.org/W2962730651","https://openalex.org/W2963037989","https://openalex.org/W2963076818","https://openalex.org/W2963351448","https://openalex.org/W2980350053","https://openalex.org/W2980967712","https://openalex.org/W3003110114","https://openalex.org/W3081468025","https://openalex.org/W3085990079","https://openalex.org/W3120755852","https://openalex.org/W3142278241","https://openalex.org/W3207515645","https://openalex.org/W4220689618","https://openalex.org/W4225383465","https://openalex.org/W4243430627","https://openalex.org/W4280516165","https://openalex.org/W4288037068","https://openalex.org/W4288080915","https://openalex.org/W4293413307","https://openalex.org/W4295540326","https://openalex.org/W4324345994","https://openalex.org/W4366779700","https://openalex.org/W4386076325","https://openalex.org/W4387008578","https://openalex.org/W4393110839","https://openalex.org/W4394857908","https://openalex.org/W4400568929","https://openalex.org/W4402829719","https://openalex.org/W4403059087","https://openalex.org/W4404265450","https://openalex.org/W4405337351","https://openalex.org/W4406155212","https://openalex.org/W4410020440","https://openalex.org/W4411375134","https://openalex.org/W4413257721","https://openalex.org/W4415355971","https://openalex.org/W4415684462","https://openalex.org/W4416011645"],"related_works":[],"abstract_inverted_index":{"We":[0],"propose":[1],"the":[2,78,114,118,132,135],"Multimodal":[3],"Spatio-Temporal":[4],"Hypergraph":[5],"Convolutional":[6],"Network":[7],"(MST-HGCN),":[8],"a":[9,85],"unified":[10],"framework":[11],"for":[12],"automatic":[13],"infantile":[14],"spasm":[15],"detection":[16,105],"using":[17],"synchronized":[18,97],"video":[19,34,46],"and":[20,35,40,108,128,144,152],"EEG":[21,36,57],"recordings.":[22],"Each":[23],"5-second":[24],"segment":[25],"is":[26,48],"divided":[27],"into":[28,50,61],"ten":[29],"0.5-second":[30],"windows,":[31],"within":[32],"which":[33],"nodes":[37],"are":[38,59],"constructed":[39],"fused":[41],"through":[42],"synchronous":[43],"hyperedges.":[44],"The":[45,89],"skeleton":[47],"partitioned":[49],"five":[51,62],"anatomical":[52],"limb":[53],"regions,":[54],"while":[55],"sixteen":[56],"electrodes":[58],"grouped":[60],"cortical":[63],"regions":[64],"to":[65],"form":[66],"aggregated":[67],"nodes.":[68],"Temporal":[69],"hyperedges":[70],"link":[71],"adjacent":[72],"windows.":[73],"To":[74],"address":[75],"class":[76],"imbalance,":[77],"training":[79],"objective":[80],"combines":[81],"Focal":[82],"Loss":[83],"with":[84,117,156],"dynamic-margin":[86],"triplet":[87],"loss.":[88],"dataset":[90],"consists":[91],"of":[92,100,106],"1,358":[93],"five-second":[94],"segments":[95],"from":[96],"video-EEG":[98],"recordings":[99],"30":[101],"infants,":[102],"enabling":[103],"accurate":[104],"spasms":[107],"non-spasms":[109],"across":[110],"modalities.Under":[111],"five-fold":[112],"cross-validation,":[113],"fusion":[115],"model":[116,136],"detector":[119],"enabled":[120],"achieves":[121],"99.19%":[122],"accuracy,":[123,139],"98.02%":[124],"precision,":[125,141],"98.82%":[126],"recall,":[127,143],"98.39%":[129],"F1-score.":[130],"In":[131],"independent":[133],"test,":[134],"attains":[137],"89.12%":[138],"75.27%":[140],"89.74%":[142],"81.82%":[145],"F1-score,":[146],"substantially":[147],"reducing":[148],"both":[149],"missed":[150],"detections":[151],"false":[153],"alarms":[154],"compared":[155],"single-modality":[157],"baselines.":[158]},"counts_by_year":[],"updated_date":"2026-06-10T14:10:52.464848","created_date":"2026-03-10T00:00:00"}
