{"id":"https://openalex.org/W2945925345","doi":"https://doi.org/10.1155/2019/9439407","title":"Steady-State Motion Visual Evoked Potential (SSMVEP) Enhancement Method Based on Time-Frequency Image Fusion","display_name":"Steady-State Motion Visual Evoked Potential (SSMVEP) Enhancement Method Based on Time-Frequency Image Fusion","publication_year":2019,"publication_date":"2019-05-21","ids":{"openalex":"https://openalex.org/W2945925345","doi":"https://doi.org/10.1155/2019/9439407","mag":"2945925345","pmid":"https://pubmed.ncbi.nlm.nih.gov/31239837"},"language":"en","primary_location":{"id":"doi:10.1155/2019/9439407","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2019/9439407","pdf_url":"https://downloads.hindawi.com/journals/cin/2019/9439407.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cin/2019/9439407.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038557654","display_name":"Wenqiang Yan","orcid":"https://orcid.org/0000-0002-2179-6023"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqiang Yan","raw_affiliation_strings":["School of Mechanical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","State Key Laboratory for Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China"],"raw_orcid":"https://orcid.org/0000-0002-2179-6023","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"State Key Laboratory for Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002974343","display_name":"Guanghua Xu","orcid":"https://orcid.org/0000-0002-7409-4068"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guanghua Xu","raw_affiliation_strings":["School of Mechanical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","State Key Laboratory for Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China"],"raw_orcid":"https://orcid.org/0000-0002-7409-4068","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"State Key Laboratory for Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018320716","display_name":"Longting Chen","orcid":"https://orcid.org/0000-0003-4014-7157"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longting Chen","raw_affiliation_strings":["School of Mechanical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","State Key Laboratory for Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"State Key Laboratory for Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056450809","display_name":"Xiaowei Zheng","orcid":"https://orcid.org/0000-0002-8653-7129"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowei Zheng","raw_affiliation_strings":["School of Mechanical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","State Key Laboratory for Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China"],"raw_orcid":"https://orcid.org/0000-0002-8653-7129","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"State Key Laboratory for Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5002974343"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":1.3706,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.79923845,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"2019","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9966999888420105,"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":0.9966999888420105,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9638000130653381,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/fuse","display_name":"Fuse (electrical)","score":0.8057738542556763},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7338500618934631},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6596447825431824},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.6208752989768982},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5758344531059265},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5749460458755493},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.550114095211029},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5096909999847412},{"id":"https://openalex.org/keywords/short-time-fourier-transform","display_name":"Short-time Fourier transform","score":0.4720728397369385},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.46841421723365784},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.46697235107421875},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.46206578612327576},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.45481905341148376},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44724008440971375},{"id":"https://openalex.org/keywords/spatial-frequency","display_name":"Spatial frequency","score":0.4259771406650543},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.41215580701828003},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26047468185424805},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.21021807193756104},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.12645894289016724},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12553298473358154}],"concepts":[{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.8057738542556763},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7338500618934631},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6596447825431824},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.6208752989768982},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5758344531059265},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5749460458755493},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.550114095211029},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5096909999847412},{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"score":0.4720728397369385},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.46841421723365784},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.46697235107421875},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.46206578612327576},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.45481905341148376},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44724008440971375},{"id":"https://openalex.org/C100921725","wikidata":"https://www.wikidata.org/wiki/Q1650811","display_name":"Spatial frequency","level":2,"score":0.4259771406650543},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.41215580701828003},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26047468185424805},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.21021807193756104},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.12645894289016724},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12553298473358154},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005074","descriptor_name":"Evoked Potentials, Visual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005074","descriptor_name":"Evoked Potentials, Visual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005074","descriptor_name":"Evoked Potentials, Visual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1155/2019/9439407","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2019/9439407","pdf_url":"https://downloads.hindawi.com/journals/cin/2019/9439407.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},{"id":"pmid:31239837","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31239837","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":"Computational intelligence and neuroscience","raw_type":null},{"id":"pmh:oai:doaj.org/article:29121d7f321d48c6ba116afb0ce09c66","is_oa":true,"landing_page_url":"https://doaj.org/article/29121d7f321d48c6ba116afb0ce09c66","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":"Computational Intelligence and Neuroscience, Vol 2019 (2019)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:5558173","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6556311","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2019/9439407","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2019/9439407","pdf_url":"https://downloads.hindawi.com/journals/cin/2019/9439407.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8312005029","display_name":null,"funder_award_id":"51775415","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2945925345.pdf","grobid_xml":"https://content.openalex.org/works/W2945925345.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W357855394","https://openalex.org/W1964068569","https://openalex.org/W1974609966","https://openalex.org/W1978990249","https://openalex.org/W1979512884","https://openalex.org/W2010625877","https://openalex.org/W2028555274","https://openalex.org/W2049166497","https://openalex.org/W2089668133","https://openalex.org/W2098725211","https://openalex.org/W2122515425","https://openalex.org/W2131168375","https://openalex.org/W2148125137","https://openalex.org/W2161666433","https://openalex.org/W2164096208","https://openalex.org/W2745519710","https://openalex.org/W2764068583","https://openalex.org/W2778092082","https://openalex.org/W2809906683","https://openalex.org/W3149679044"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W1537496349","https://openalex.org/W4243305035","https://openalex.org/W2095903272","https://openalex.org/W2391745328"],"abstract_inverted_index":{"The":[0,84,128,166,178,198],"steady-state":[1],"motion":[2],"visual":[3],"evoked":[4],"potential":[5],"(SSMVEP)":[6],"collected":[7],"from":[8,12,115],"the":[9,22,26,34,44,47,51,61,66,91,96,100,116,120,151,158,188,203,215,231],"scalp":[10],"suffers":[11],"strong":[13],"noise":[14],"and":[15,25,94,149,154,186],"is":[16,41,86,225],"contaminated":[17],"by":[18,162,194],"artifacts":[19],"such":[20],"as":[21,135],"electrooculogram":[23],"(EOG)":[24],"electromyogram":[27],"(EMG).":[28],"Spatial":[29],"filtering":[30,55,103,218],"methods":[31,56],"can":[32,132],"fuse":[33,57,88,228],"information":[35],"of":[36,46,50,68,99,157],"different":[37],"brain":[38],"regions,":[39],"which":[40,234],"beneficial":[42],"for":[43,239],"enhancement":[45,76,97,208],"active":[48,107,212],"components":[49,213],"SSMVEP.":[52],"Traditional":[53],"spatial":[54,102,217],"electroencephalogram":[58],"(EEG)":[59],"in":[60,90,230],"time":[62,117],"domain.":[63],"Based":[64],"on":[65,79,105,210],"idea":[67,238],"image":[69,82,173,180],"fusion,":[70],"this":[71],"study":[72,221],"proposed":[73,204],"an":[74],"SSMVEP":[75,89,106,211,229,240],"method":[77,104,205],"based":[78],"time-frequency":[80],"(T-F)":[81],"fusion.":[83],"purpose":[85],"to":[87,119,183,227],"T-F":[92,121,130,136,140,232],"domain":[93,118,122],"improve":[95],"effect":[98,209],"traditional":[101,216],"components.":[108],"Firstly,":[109],"two":[110,139,167],"electrode":[111],"signals":[112,131],"were":[113,142,160,169],"transformed":[114,129],"via":[123,144,174],"short-time":[124],"Fourier":[125],"transform":[126],"(STFT).":[127],"be":[133],"regarded":[134],"images.":[137],"Then,":[138],"images":[141,168],"decomposed":[143],"two-dimensional":[145,175],"multiscale":[146],"wavelet":[147,159,176],"decomposition,":[148],"both":[150],"high-frequency":[152],"coefficients":[153,156],"low-frequency":[155],"fused":[161,170,179,189],"specific":[163],"fusion":[164],"rules.":[165],"into":[171],"one":[172],"reconstruction.":[177],"was":[181,192],"subjected":[182],"mean":[184],"filtering,":[185],"finally,":[187],"time-domain":[190],"signal":[191],"obtained":[193],"inverse":[195],"STFT":[196],"(ISTFT).":[197],"experimental":[199],"results":[200],"show":[201],"that":[202,223],"has":[206],"better":[207],"than":[214],"methods.":[219],"This":[220],"indicates":[222],"it":[224],"feasible":[226],"domain,":[233],"provides":[235],"a":[236],"new":[237],"analysis.":[241]},"counts_by_year":[{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}