{"id":"https://openalex.org/W2810965665","doi":"https://doi.org/10.1109/fskd.2017.8393352","title":"ECG quality assessment based on multi-feature fusion","display_name":"ECG quality assessment based on multi-feature fusion","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2810965665","doi":"https://doi.org/10.1109/fskd.2017.8393352","mag":"2810965665"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2017.8393352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100670074","display_name":"Yong Xia","orcid":"https://orcid.org/0000-0001-9273-2847"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yong Xia","raw_affiliation_strings":["School of computer science and technology, Harbin Institute of Technology, Weihai, China"],"affiliations":[{"raw_affiliation_string":"School of computer science and technology, Harbin Institute of Technology, Weihai, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069539389","display_name":"Honghong Jia","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honghong Jia","raw_affiliation_strings":["School of computer science and technology, Harbin Institute of Technology, Weihai, China"],"affiliations":[{"raw_affiliation_string":"School of computer science and technology, Harbin Institute of Technology, Weihai, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100670074"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.5255,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.71580178,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9970999956130981,"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":0.9970999956130981,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9581999778747559,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7264765501022339},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6492148637771606},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6447630524635315},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.629857063293457},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5855740308761597},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4628791809082031},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44971901178359985},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.42237526178359985},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35120806097984314},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.07206624746322632}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7264765501022339},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6492148637771606},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6447630524635315},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.629857063293457},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5855740308761597},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4628791809082031},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44971901178359985},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.42237526178359985},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35120806097984314},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.07206624746322632},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2017.8393352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1500731913","https://openalex.org/W1540190034","https://openalex.org/W1580851578","https://openalex.org/W1601795611","https://openalex.org/W1663973292","https://openalex.org/W2014705735","https://openalex.org/W2046043287","https://openalex.org/W2101608115","https://openalex.org/W2107000047","https://openalex.org/W2117089469","https://openalex.org/W2120015911","https://openalex.org/W2122930900","https://openalex.org/W2129689968","https://openalex.org/W2134837462","https://openalex.org/W2170674007","https://openalex.org/W2248720007","https://openalex.org/W2345653080","https://openalex.org/W3141693980","https://openalex.org/W6632381027","https://openalex.org/W6634377590","https://openalex.org/W6676004498","https://openalex.org/W6677635324","https://openalex.org/W6677724597","https://openalex.org/W6679369379","https://openalex.org/W6684783112"],"related_works":["https://openalex.org/W1974895211","https://openalex.org/W2176409448","https://openalex.org/W2129841057","https://openalex.org/W3040712279","https://openalex.org/W2364769705","https://openalex.org/W2056136368","https://openalex.org/W2374664672","https://openalex.org/W4367555392","https://openalex.org/W2883092465","https://openalex.org/W2114441484"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,120],"new":[4],"method":[5,44,47,97],"for":[6,50,62],"ECG":[7,91],"quality":[8],"classification":[9,69,100],"based":[10],"on":[11],"multi-feature":[12],"fusion.":[13],"Lots":[14],"of":[15,39,89],"features,":[16],"including":[17],"waveform":[18],"attributes,":[19],"power":[20],"spectrum,":[21],"R-wave":[22],"detection,":[23],"etc.,":[24],"are":[25,41,48,71,106],"given":[26],"and":[27,45,65,67,76,84,102,104,111,126],"each":[28,90],"feature":[29],"is":[30,60,93,119,128],"evaluated":[31],"independently.":[32],"For":[33],"the":[34,74,81,85,109,116],"best":[35],"performance,":[36],"different":[37],"combinations":[38],"features":[40],"tested.":[42],"Rule-based":[43],"learning-based":[46,96],"considered":[49],"classification.":[51],"The":[52],"database":[53],"from":[54],"PhysioNet/Computing":[55],"in":[56,73,108],"Cardiology":[57],"Challenge":[58],"2011":[59],"used":[61],"performance":[63],"evaluation":[64],"92.8%":[66],"90.4%":[68],"accuracy":[70],"obtained":[72],"training":[75,110],"test":[77,112],"collection":[78,113],"respectively":[79],"using":[80],"rule-based":[82,124],"method,":[83,125],"average":[86],"processing":[87],"time":[88,117],"recording":[92],"0.78s.":[94],"Furthermore,":[95],"gets":[98],"higher":[99],"accuracy,":[101],"94.0%":[103],"91.6%":[105],"achieved":[107],"respectively,":[114],"but":[115],"cost":[118],"little":[121],"larger":[122],"than":[123],"it":[127],"2.03s.":[129]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}