{"id":"https://openalex.org/W4321599303","doi":"https://doi.org/10.3390/s23052458","title":"Cross-Domain Transfer of EEG to EEG or ECG Learning for CNN Classification Models","display_name":"Cross-Domain Transfer of EEG to EEG or ECG Learning for CNN Classification Models","publication_year":2023,"publication_date":"2023-02-23","ids":{"openalex":"https://openalex.org/W4321599303","doi":"https://doi.org/10.3390/s23052458","pmid":"https://pubmed.ncbi.nlm.nih.gov/36904661"},"language":"en","primary_location":{"id":"doi:10.3390/s23052458","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23052458","pdf_url":"https://www.mdpi.com/1424-8220/23/5/2458/pdf?version=1677465087","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/5/2458/pdf?version=1677465087","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053787158","display_name":"Chia\u2010Yen Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I192703390","display_name":"Ming Chuan University","ror":"https://ror.org/02pgvzy25","country_code":"TW","type":"education","lineage":["https://openalex.org/I192703390"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chia-Yen Yang","raw_affiliation_strings":["Department of Biomedical Engineering, Ming-Chuan University, Taoyuan 333321, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Ming-Chuan University, Taoyuan 333321, Taiwan","institution_ids":["https://openalex.org/I192703390"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043721490","display_name":"Pin-Chen Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I192703390","display_name":"Ming Chuan University","ror":"https://ror.org/02pgvzy25","country_code":"TW","type":"education","lineage":["https://openalex.org/I192703390"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Pin-Chen Chen","raw_affiliation_strings":["Department of Biomedical Engineering, Ming-Chuan University, Taoyuan 333321, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Ming-Chuan University, Taoyuan 333321, Taiwan","institution_ids":["https://openalex.org/I192703390"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103691134","display_name":"Wen-Chen Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I192703390","display_name":"Ming Chuan University","ror":"https://ror.org/02pgvzy25","country_code":"TW","type":"education","lineage":["https://openalex.org/I192703390"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Chen Huang","raw_affiliation_strings":["Department of Biomedical Engineering, Ming-Chuan University, Taoyuan 333321, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Ming-Chuan University, Taoyuan 333321, Taiwan","institution_ids":["https://openalex.org/I192703390"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053787158"],"corresponding_institution_ids":["https://openalex.org/I192703390"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":3.6778,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.93476764,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"23","issue":"5","first_page":"2458","last_page":"2458"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"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":1.0,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.995199978351593,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.8500876426696777},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7191401720046997},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6876404285430908},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6239838600158691},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6229993104934692},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5955812335014343},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4714575409889221},{"id":"https://openalex.org/keywords/ictal","display_name":"Ictal","score":0.42686235904693604},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3765358328819275},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3720857799053192},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.141187846660614},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.10613301396369934}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.8500876426696777},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7191401720046997},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6876404285430908},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6239838600158691},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6229993104934692},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5955812335014343},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4714575409889221},{"id":"https://openalex.org/C17755696","wikidata":"https://www.wikidata.org/wiki/Q16564780","display_name":"Ictal","level":3,"score":0.42686235904693604},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3765358328819275},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3720857799053192},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.141187846660614},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.10613301396369934}],"mesh":[{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012640","descriptor_name":"Seizures","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012640","descriptor_name":"Seizures","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012640","descriptor_name":"Seizures","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012890","descriptor_name":"Sleep","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012890","descriptor_name":"Sleep","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012890","descriptor_name":"Sleep","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s23052458","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23052458","pdf_url":"https://www.mdpi.com/1424-8220/23/5/2458/pdf?version=1677465087","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36904661","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36904661","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10007254","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10007254","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10007254/pdf/sensors-23-02458.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:68ad58e2af344716bf6c20ac0a1a79bf","is_oa":true,"landing_page_url":"https://doaj.org/article/68ad58e2af344716bf6c20ac0a1a79bf","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":"Sensors, Vol 23, Iss 5, p 2458 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/5/2458/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23052458","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23052458","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23052458","pdf_url":"https://www.mdpi.com/1424-8220/23/5/2458/pdf?version=1677465087","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320331164","display_name":"National Science and Technology Council","ror":"https://ror.org/00wnb9798"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4321599303.pdf"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1970593689","https://openalex.org/W2011072206","https://openalex.org/W2011633884","https://openalex.org/W2082562451","https://openalex.org/W2142181855","https://openalex.org/W2144691514","https://openalex.org/W2162800060","https://openalex.org/W2396351021","https://openalex.org/W2759483166","https://openalex.org/W2889245000","https://openalex.org/W2893778871","https://openalex.org/W2913237197","https://openalex.org/W2955564905","https://openalex.org/W2964959984","https://openalex.org/W2967087414","https://openalex.org/W3005864656","https://openalex.org/W3011962222","https://openalex.org/W3014215018","https://openalex.org/W3042240997","https://openalex.org/W3085334857","https://openalex.org/W3087823924","https://openalex.org/W3090425814","https://openalex.org/W3177432079","https://openalex.org/W3185809598","https://openalex.org/W3201282232","https://openalex.org/W3215950319","https://openalex.org/W4205298066","https://openalex.org/W4211084181","https://openalex.org/W4211166850","https://openalex.org/W4213348184","https://openalex.org/W4221091728","https://openalex.org/W4223424636","https://openalex.org/W4225143123","https://openalex.org/W4225868465","https://openalex.org/W4280498896","https://openalex.org/W4281387680","https://openalex.org/W4283697529","https://openalex.org/W4285165236","https://openalex.org/W4285284633","https://openalex.org/W6766805193","https://openalex.org/W6804530389","https://openalex.org/W6805736931"],"related_works":["https://openalex.org/W3192840557","https://openalex.org/W3091976719","https://openalex.org/W3018421652","https://openalex.org/W4220996320","https://openalex.org/W4312200629","https://openalex.org/W4285149559","https://openalex.org/W3021430260","https://openalex.org/W4382286161","https://openalex.org/W4386213806","https://openalex.org/W2996856019"],"abstract_inverted_index":{"Electroencephalography":[0],"(EEG)":[1],"is":[2],"often":[3],"used":[4,75],"to":[5,23,61,168],"evaluate":[6],"several":[7],"types":[8],"of":[9,14,68,117,125,148],"neurological":[10],"brain":[11],"disorders":[12],"because":[13],"its":[15],"noninvasive":[16],"and":[17,30,41,79,89,120,183,194],"high":[18],"temporal":[19],"resolution.":[20],"In":[21,160],"contrast":[22],"electrocardiography":[24],"(ECG),":[25],"EEG":[26,166],"can":[27,177,196],"be":[28,197],"uncomfortable":[29],"inconvenient":[31],"for":[32,45,65,114,128,137,172],"patients.":[33],"Moreover,":[34,130],"deep-learning":[35],"techniques":[36],"require":[37],"a":[38,42,173],"large":[39],"dataset":[40],"long":[43],"time":[44,127,155,182],"training":[46,67,126,154,181],"from":[47,164],"scratch.":[48],"Therefore,":[49],"in":[50,76],"this":[51],"study,":[52],"EEG-EEG":[53],"or":[54],"EEG-ECG":[55,135],"transfer":[56,133,162],"learning":[57,134,163],"strategies":[58],"were":[59],"applied":[60],"explore":[62],"their":[63],"effectiveness":[64],"the":[66,93,131,149,153,180,185],"simple":[69],"cross-domain":[70],"convolutional":[71],"neural":[72],"networks":[73],"(CNNs)":[74],"seizure":[77,85,104],"prediction":[78,105],"sleep":[80,94,138],"staging":[81,95,139],"systems,":[82],"respectively.":[83],"The":[84,102],"model":[86,96,106,136,167],"detected":[87],"interictal":[88],"preictal":[90],"periods,":[91],"whereas":[92],"classified":[97],"signals":[98],"into":[99],"five":[100],"stages.":[101],"patient-specific":[103],"with":[107],"six":[108],"frozen":[109],"layers":[110],"achieved":[111,140],"100%":[112],"accuracy":[113,142],"seven":[115],"out":[116],"nine":[118],"patients":[119],"required":[121],"only":[122],"40":[123],"s":[124],"personalization.":[129],"cross-signal":[132],"an":[141,165],"approximately":[143],"2.5%":[144],"higher":[145],"than":[146],"that":[147],"ECG":[150],"model;":[151],"additionally,":[152],"was":[156],"reduced":[157],"by":[158],">50%.":[159],"summary,":[161],"produce":[169],"personalized":[170],"models":[171],"more":[174],"convenient":[175],"signal":[176],"both":[178],"reduce":[179],"increase":[184],"accuracy;":[186],"moreover,":[187],"challenges":[188],"such":[189],"as":[190],"data":[191],"insufficiency,":[192],"variability,":[193],"inefficiency":[195],"effectively":[198],"overcome.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}