{"id":"https://openalex.org/W2957188486","doi":"https://doi.org/10.1109/access.2019.2921568","title":"Simultaneous Human Health Monitoring and Time-Frequency Sparse Representation Using EEG and ECG Signals","display_name":"Simultaneous Human Health Monitoring and Time-Frequency Sparse Representation Using EEG and ECG Signals","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2957188486","doi":"https://doi.org/10.1109/access.2019.2921568","mag":"2957188486"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2921568","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2921568","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08732935.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08732935.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055304010","display_name":"Wangpeng He","orcid":"https://orcid.org/0000-0001-9491-3342"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wangpeng He","raw_affiliation_strings":["School of Aerospace Science and Technology, Xidian University, Xi\u2019an, China","School of Aerospace Science and Technology, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Aerospace Science and Technology, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Aerospace Science and Technology, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101530796","display_name":"Geng Wang","orcid":"https://orcid.org/0000-0001-8609-6979"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Geng Wang","raw_affiliation_strings":["School of Aerospace Science and Technology, Xidian University, Xi\u2019an, China","School of Aerospace Science and Technology, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Aerospace Science and Technology, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Aerospace Science and Technology, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103281954","display_name":"Jie Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Hu","raw_affiliation_strings":["School of Aerospace Science and Technology, Xidian University, Xi\u2019an, China","School of Aerospace Science and Technology, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Aerospace Science and Technology, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Aerospace Science and Technology, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404091","display_name":"Cheng Li","orcid":"https://orcid.org/0000-0002-3915-5451"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Li","raw_affiliation_strings":["School of Aerospace Science and Technology, Xidian University, Xi\u2019an, China","School of Aerospace Science and Technology, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Aerospace Science and Technology, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Aerospace Science and Technology, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103144961","display_name":"Baolong Guo","orcid":"https://orcid.org/0000-0001-9531-4632"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baolong Guo","raw_affiliation_strings":["School of Aerospace Science and Technology, Xidian University, Xi\u2019an, China","School of Aerospace Science and Technology, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Aerospace Science and Technology, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Aerospace Science and Technology, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036143520","display_name":"Fengping Li","orcid":"https://orcid.org/0000-0002-8535-112X"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengping Li","raw_affiliation_strings":["Institute of Laser and Optoelectronics Intelligent Manufacturing, Wenzhou University, Wenzhou, China"],"affiliations":[{"raw_affiliation_string":"Institute of Laser and Optoelectronics Intelligent Manufacturing, Wenzhou University, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5055304010"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.4885,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.81556546,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"85985","last_page":"85994"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998000264167786,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.8494322299957275},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8001886606216431},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6844382882118225},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.617581307888031},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5731663703918457},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5545069575309753},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5004515647888184},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.49799585342407227},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.48208099603652954},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4405122697353363},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4351547956466675},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.43370765447616577},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4201025664806366},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4061901271343231},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3321807086467743},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3317638635635376},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10959002375602722}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8494322299957275},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8001886606216431},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6844382882118225},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.617581307888031},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5731663703918457},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5545069575309753},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5004515647888184},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.49799585342407227},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.48208099603652954},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4405122697353363},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4351547956466675},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.43370765447616577},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4201025664806366},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4061901271343231},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3321807086467743},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3317638635635376},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10959002375602722},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2921568","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2921568","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08732935.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bc1756d7309b4e2abfa432ef55c84c72","is_oa":true,"landing_page_url":"https://doaj.org/article/bc1756d7309b4e2abfa432ef55c84c72","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 85985-85994 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2921568","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2921568","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08732935.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1567831476","display_name":null,"funder_award_id":"51805398","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3642883204","display_name":null,"funder_award_id":"51805398","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4116518210","display_name":null,"funder_award_id":"2018JQ5106","funder_id":"https://openalex.org/F4320324173","funder_display_name":"Natural Science Foundation of Shaanxi Province"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6884035251","display_name":null,"funder_award_id":"2018YFB1108000","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8316141430","display_name":null,"funder_award_id":"2017003","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8557217644","display_name":null,"funder_award_id":"11080","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8878748278","display_name":null,"funder_award_id":"2017003","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/F4320324173","display_name":"Natural Science Foundation of Shaanxi Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2957188486.pdf","grobid_xml":"https://content.openalex.org/works/W2957188486.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1982405594","https://openalex.org/W1990217061","https://openalex.org/W2018328737","https://openalex.org/W2053744708","https://openalex.org/W2232896714","https://openalex.org/W2278108273","https://openalex.org/W2287095410","https://openalex.org/W2292649956","https://openalex.org/W2345010043","https://openalex.org/W2527796983","https://openalex.org/W2544197537","https://openalex.org/W2559256361","https://openalex.org/W2588896082","https://openalex.org/W2606301878","https://openalex.org/W2620050178","https://openalex.org/W2620850570","https://openalex.org/W2702116941","https://openalex.org/W2740113900","https://openalex.org/W2792396409","https://openalex.org/W2793933216","https://openalex.org/W2803509947","https://openalex.org/W2897042075","https://openalex.org/W2898291782","https://openalex.org/W2901956291","https://openalex.org/W2913246999","https://openalex.org/W2932348506","https://openalex.org/W2942144085","https://openalex.org/W2964267916","https://openalex.org/W4251576161"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4297676672","https://openalex.org/W4281702477","https://openalex.org/W4378510483","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4309346246"],"abstract_inverted_index":{"In":[0,25,107],"the":[1,17,38,51,83,102,108,118,121,124,131,143,149,160,176,179,187,199],"field":[2],"of":[3,41,104,120,142,152,165,178,201],"human":[4],"health":[5,18,90,194],"monitoring,":[6],"intelligent":[7],"diagnostic":[8,32],"methods":[9],"have":[10],"drawn":[11],"much":[12],"attention":[13],"recently":[14],"to":[15,100,116,129,174],"tackle":[16],"problems":[19],"and":[20,30,46,62,75,168,196],"challenges":[21],"faced":[22],"by":[23],"patients.":[24],"this":[26],"paper,":[27],"an":[28],"efficient":[29],"flexible":[31],"method":[33,45,53,189],"is":[34,54,127],"proposed,":[35],"which":[36],"enables":[37],"simultaneous":[39],"use":[40],"a":[42,57,140],"machine":[43],"learning":[44],"sparsity-based":[47],"representation":[48,151],"technique.":[49],"Specifically,":[50],"proposed":[52,180,188],"based":[55,86],"on":[56,87],"convolutional":[58],"neural":[59],"network":[60,85,95],"(CNN)":[61],"generalized":[63],"minimax-concave":[64],"(GMC)":[65],"method.":[66,162,181],"First,":[67],"measured":[68],"potential":[69],"signals,":[70],"for":[71,89,139],"instance,":[72],"electroencephalogram":[73],"(EEG)":[74],"electrocardiogram":[76],"(ECG)":[77],"signals":[78],"are":[79,114,172],"directly":[80],"inputted":[81],"into":[82],"designed":[84,94],"CNN":[88],"conditions":[91,195],"classification.":[92],"The":[93,182],"adopts":[96],"small":[97,111],"convolution":[98],"kernels":[99],"enhance":[101,198],"performance":[103,177],"feature":[105],"extraction.":[106],"training":[109],"process,":[110],"batch":[112],"samples":[113],"applied":[115,128],"improve":[117],"generalization":[119],"model.":[122],"Meanwhile,":[123],"\u201cDropout\u201d":[125],"strategy":[126],"overcome":[130],"overfitting":[132],"problem":[133],"in":[134],"fully":[135],"connected":[136],"layers.":[137],"Then,":[138],"record":[141],"interested":[144],"EEG":[145],"or":[146],"ECG":[147],"signal,":[148],"sparse":[150],"useful":[153],"time-frequency":[154,202],"features":[155],"can":[156,190],"be":[157],"estimated":[158],"via":[159],"GMC":[161],"Case":[163],"studies":[164],"seizure":[166],"detection":[167],"arrhythmia":[169],"signal":[170],"analysis":[171],"adopted":[173],"verify":[175],"experimental":[183],"results":[184],"demonstrate":[185],"that":[186],"effectively":[191],"identify":[192],"different":[193],"maximally":[197],"sparsity":[200],"features.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}
