{"id":"https://openalex.org/W4285289565","doi":"https://doi.org/10.12720/jcm.17.5.399-404","title":"Biosignal Classification Based on Multi-Feature Multi-Dimensional WaveNet-LSTM Models","display_name":"Biosignal Classification Based on Multi-Feature Multi-Dimensional WaveNet-LSTM Models","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285289565","doi":"https://doi.org/10.12720/jcm.17.5.399-404"},"language":"en","primary_location":{"id":"doi:10.12720/jcm.17.5.399-404","is_oa":true,"landing_page_url":"https://doi.org/10.12720/jcm.17.5.399-404","pdf_url":null,"source":{"id":"https://openalex.org/S184821498","display_name":"Journal of Communications","issn_l":"1796-2021","issn":["1796-2021","2374-4367"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4323867253","host_organization_name":"International Communication Association","host_organization_lineage":["https://openalex.org/P4323867253"],"host_organization_lineage_names":["International Communication Association"],"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 Communications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.12720/jcm.17.5.399-404","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101926455","display_name":"Yue Meng","orcid":"https://orcid.org/0000-0003-0204-4819"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yue Meng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004506081","display_name":"Linghao Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Linghao Lin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066934378","display_name":"Zhiliang Qin","orcid":"https://orcid.org/0000-0001-5068-8657"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiliang Qin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041785954","display_name":"Yuanyuan Qu","orcid":"https://orcid.org/0000-0002-6900-6510"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuanyuan Qu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101517341","display_name":"Qin Yu","orcid":"https://orcid.org/0000-0002-6924-1617"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu Qin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100444796","display_name":"Yingying Li","orcid":"https://orcid.org/0000-0003-4737-7035"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yingying Li","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101926455"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4895,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65388321,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"399","last_page":"404"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9952999949455261,"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"}},"topics":[{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9952999949455261,"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/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9842000007629395,"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/heartbeat","display_name":"Heartbeat","score":0.8480755090713501},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7762489914894104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6623367667198181},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6160984039306641},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.6121269464492798},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.554840087890625},{"id":"https://openalex.org/keywords/biosignal","display_name":"Biosignal","score":0.5135495662689209},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4766058325767517},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.44977542757987976},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4302672743797302},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36212244629859924},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09020769596099854}],"concepts":[{"id":"https://openalex.org/C13852961","wikidata":"https://www.wikidata.org/wiki/Q17021880","display_name":"Heartbeat","level":2,"score":0.8480755090713501},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7762489914894104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6623367667198181},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6160984039306641},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.6121269464492798},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.554840087890625},{"id":"https://openalex.org/C2779055241","wikidata":"https://www.wikidata.org/wiki/Q644240","display_name":"Biosignal","level":3,"score":0.5135495662689209},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4766058325767517},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.44977542757987976},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4302672743797302},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36212244629859924},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09020769596099854},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.12720/jcm.17.5.399-404","is_oa":true,"landing_page_url":"https://doi.org/10.12720/jcm.17.5.399-404","pdf_url":null,"source":{"id":"https://openalex.org/S184821498","display_name":"Journal of Communications","issn_l":"1796-2021","issn":["1796-2021","2374-4367"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4323867253","host_organization_name":"International Communication Association","host_organization_lineage":["https://openalex.org/P4323867253"],"host_organization_lineage_names":["International Communication Association"],"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 Communications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.12720/jcm.17.5.399-404","is_oa":true,"landing_page_url":"https://doi.org/10.12720/jcm.17.5.399-404","pdf_url":null,"source":{"id":"https://openalex.org/S184821498","display_name":"Journal of Communications","issn_l":"1796-2021","issn":["1796-2021","2374-4367"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4323867253","host_organization_name":"International Communication Association","host_organization_lineage":["https://openalex.org/P4323867253"],"host_organization_lineage_names":["International Communication Association"],"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 Communications","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4380075502","https://openalex.org/W4223943233","https://openalex.org/W4312200629","https://openalex.org/W4360585206","https://openalex.org/W4364306694","https://openalex.org/W4380086463","https://openalex.org/W4225161397","https://openalex.org/W3014300295","https://openalex.org/W3164822677","https://openalex.org/W4309637067"],"abstract_inverted_index":{"Electrocardiogram":[0],"(ECG)":[1],"effectively":[2],"records":[3],"the":[4,11,15,32,34,45,91,104,115,127,140,143,154],"difference":[5],"between":[6],"body":[7],"potentials":[8],"generated":[9],"during":[10],"physiological":[12],"function":[13],"of":[14,36,47,62,107,130,142],"heart.":[16],"Both":[17],"ECG":[18],"and":[19,70,122],"heartbeat":[20],"sounds":[21],"are":[22],"viewed":[23],"as":[24,65,67,90],"powerful":[25],"tools":[26],"to":[27,44,60,101,138],"diagnose":[28],"abnormal":[29],"arrhythmias.":[30],"In":[31,72],"past,":[33],"accuracy":[35],"such":[37],"diagnoses":[38],"has":[39,152],"been":[40],"significantly":[41],"improved":[42],"due":[43,59],"development":[46],"machine-learning":[48],"algorithms.":[49],"However,":[50],"current":[51],"models":[52],"still":[53],"do":[54],"not":[55],"provide":[56],"acceptable":[57],"performance":[58,141],"similarities":[61],"signal":[63],"waveforms":[64],"well":[66],"ambient":[68],"noises":[69],"interferences.":[71],"this":[73],"paper,":[74],"we":[75],"propose":[76],"a":[77,83],"novel":[78],"deep-learning":[79],"model":[80,85,151],"that":[81,149],"incorporates":[82],"WaveNet":[84],"based":[86,125],"on":[87,126],"dilated":[88],"convolutions":[89],"backbone":[92],"followed":[93],"by":[94],"multiple":[95],"bi-directional":[96],"long-short-term":[97],"memory":[98],"(Bi-LSTM)":[99],"layers":[100],"further":[102],"enhance":[103],"discriminant":[105],"capabilities":[106],"temporal":[108],"relations.":[109],"A":[110],"typical":[111],"clinical":[112],"dataset,":[113],"i.e.,":[114],"MIT-BIH":[116],"arrhythmia":[117],"database,":[118],"which":[119],"considers":[120],"intra-patient":[121],"inter-patient":[123],"paradigms":[124],"American":[128],"Association":[129],"Medical":[131],"Instrumentation":[132],"(AAMI)":[133],"EC57":[134],"standard,":[135],"is":[136],"used":[137],"demonstrate":[139],"proposed":[144],"approach.":[145],"Numerical":[146],"results":[147],"show":[148],"our":[150],"achieved":[153],"state-of-the-art":[155],"classification":[156],"accuracies.":[157]},"counts_by_year":[{"year":2023,"cited_by_count":3}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2022-07-14T00:00:00"}