{"id":"https://openalex.org/W2046043287","doi":"https://doi.org/10.1631/jzus.c1300264","title":"ECG quality assessment based on a kernel support vector machine and genetic algorithm with a feature matrix","display_name":"ECG quality assessment based on a kernel support vector machine and genetic algorithm with a feature matrix","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2046043287","doi":"https://doi.org/10.1631/jzus.c1300264","mag":"2046043287"},"language":"en","primary_location":{"id":"doi:10.1631/jzus.c1300264","is_oa":false,"landing_page_url":"https://doi.org/10.1631/jzus.c1300264","pdf_url":null,"source":{"id":"https://openalex.org/S199067057","display_name":"Journal of Zhejiang University SCIENCE C","issn_l":"1869-1951","issn":["1869-1951","1869-196X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311937","host_organization_name":"Zhejiang University Press","host_organization_lineage":["https://openalex.org/P4310311937"],"host_organization_lineage_names":["Zhejiang University Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Zhejiang University SCIENCE C","raw_type":"journal-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/A5026334751","display_name":"Yatao Zhang","orcid":"https://orcid.org/0000-0002-6152-0806"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ya-tao Zhang","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, 250061, China","School of Mechanical, Electrical & Information Engineering, Shandong University, Weihai, 264209, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, 250061, China","institution_ids":["https://openalex.org/I154099455"]},{"raw_affiliation_string":"School of Mechanical, Electrical & Information Engineering, Shandong University, Weihai, 264209, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100321186","display_name":"Chengyu Liu","orcid":"https://orcid.org/0000-0003-1965-3020"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]},{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Cheng-yu Liu","raw_affiliation_strings":["Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, NE1 4LP, UK","School of Control Science and Engineering, Shandong University, Jinan, 250061, China"],"affiliations":[{"raw_affiliation_string":"Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, NE1 4LP, UK","institution_ids":["https://openalex.org/I84884186"]},{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, 250061, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078380812","display_name":"Shoushui Wei","orcid":"https://orcid.org/0000-0001-8054-4400"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shou-shui Wei","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, 250061, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, 250061, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085807402","display_name":"Chang-zhi Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang-zhi Wei","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, 250061, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, 250061, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100445518","display_name":"Feifei Liu","orcid":"https://orcid.org/0000-0002-1585-3829"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei-fei Liu","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, 250061, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, 250061, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5026334751"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":2.9583,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.9173692,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"15","issue":"7","first_page":"564","last_page":"573"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9901999831199646,"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"}},{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9732999801635742,"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/support-vector-machine","display_name":"Support vector machine","score":0.7092325091362},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6511083841323853},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5912137031555176},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5599901676177979},{"id":"https://openalex.org/keywords/gaussian-function","display_name":"Gaussian function","score":0.520072877407074},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.47383221983909607},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4728660583496094},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.46636590361595154},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44252780079841614},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43688902258872986},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4212660491466522},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2778959274291992},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.2638731002807617},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24543383717536926},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.24384671449661255}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7092325091362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6511083841323853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5912137031555176},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5599901676177979},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.520072877407074},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.47383221983909607},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4728660583496094},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.46636590361595154},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44252780079841614},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43688902258872986},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4212660491466522},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2778959274291992},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.2638731002807617},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24543383717536926},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.24384671449661255},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1631/jzus.c1300264","is_oa":false,"landing_page_url":"https://doi.org/10.1631/jzus.c1300264","pdf_url":null,"source":{"id":"https://openalex.org/S199067057","display_name":"Journal of Zhejiang University SCIENCE C","issn_l":"1869-1951","issn":["1869-1951","1869-196X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311937","host_organization_name":"Zhejiang University Press","host_organization_lineage":["https://openalex.org/P4310311937"],"host_organization_lineage_names":["Zhejiang University Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Zhejiang University SCIENCE C","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W193452632","https://openalex.org/W1540190034","https://openalex.org/W1551001158","https://openalex.org/W1892542784","https://openalex.org/W1965421420","https://openalex.org/W1993029589","https://openalex.org/W2014705735","https://openalex.org/W2024479929","https://openalex.org/W2030837440","https://openalex.org/W2038240305","https://openalex.org/W2043829975","https://openalex.org/W2050507850","https://openalex.org/W2056523469","https://openalex.org/W2060114499","https://openalex.org/W2078333581","https://openalex.org/W2081419782","https://openalex.org/W2120015911","https://openalex.org/W2122930900","https://openalex.org/W2135533595","https://openalex.org/W2150570534","https://openalex.org/W2170674007","https://openalex.org/W2172235441","https://openalex.org/W2417093833","https://openalex.org/W2610184543","https://openalex.org/W4300456255","https://openalex.org/W6601760687","https://openalex.org/W6630816321"],"related_works":["https://openalex.org/W1603091392","https://openalex.org/W3095395190","https://openalex.org/W3100948281","https://openalex.org/W3123056048","https://openalex.org/W2095626363","https://openalex.org/W4389428786","https://openalex.org/W2545232906","https://openalex.org/W2375370983","https://openalex.org/W2369557298","https://openalex.org/W2011212036"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,10,158],"systematic":[3],"ECG":[4,92,170],"quality":[5,93],"classification":[6,94,179,218,245],"method":[7,33,154],"based":[8],"on":[9,157],"kernel":[11,106],"support":[12],"vector":[13],"machine":[14],"(KSVM)":[15],"and":[16,43,64,72,87,110,136,178,205,208,217,240,243],"genetic":[17],"algorithm":[18],"(GA)":[19],"to":[20,51,74,89,127],"determine":[21,90,128],"whether":[22],"ECGs":[23,69],"collected":[24],"via":[25],"mobile":[26],"phone":[27],"are":[28,70],"acceptable":[29],"or":[30],"not.":[31],"This":[32],"includes":[34,167],"mainly":[35],"three":[36],"modules,":[37],"i.e.,":[38],"lead-fall":[39,47],"detection,":[40],"feature":[41,77,81],"extraction,":[42],"intelligent":[44],"classification.":[45,55],"First,":[46],"detection":[48],"is":[49,83,102,113,125,139],"executed":[50],"make":[52],"the":[53,57,76,80,91,105,118,129,133,144,152,184,194,200,209,228,235,244],"initial":[54],"Then":[56],"power":[58],"spectrum,":[59],"baseline":[60],"drifts,":[61],"amplitude":[62],"difference,":[63],"other":[65],"time-domain":[66],"features":[67],"for":[68],"analyzed":[71],"quantified":[73],"form":[75],"matrix.":[78],"Finally,":[79],"matrix":[82],"assessed":[84],"using":[85,199,234],"KSVM":[86,109,134],"GA":[88,124],"results.":[95],"A":[96,191],"Gaussian":[97],"radial":[98],"basis":[99],"function":[100,107,122],"(GRBF)":[101],"employed":[103],"as":[104,183],"of":[108,117,132,143,151,202,237],"its":[111,137],"performance":[112,138,150],"compared":[114,140],"with":[115,141],"that":[116,142],"Mexican":[119],"hat":[120],"wavelet":[121],"(MHWF).":[123],"used":[126,182],"optimal":[130,195,229],"parameters":[131],"classifier":[135],"grid":[145],"search":[146],"(GS)":[147],"method.":[148],"The":[149],"proposed":[153],"was":[155,247],"tested":[156],"database":[159,189,223],"from":[160],"PhysioNet/Computing":[161],"in":[162],"Cardiology":[163],"Challenge":[164],"2011,":[165],"which":[166],"1500":[168],"12-lead":[169],"recordings.":[171],"True":[172],"positive":[173,176],"(TP),":[174],"false":[175],"(FP),":[177],"accuracy":[180,219,246],"were":[181,197,231],"assessment":[185],"indices.":[186],"For":[187,221],"training":[188],"set":[190,224],"(1000":[192],"recordings),":[193,227],"results":[196,211,230],"obtained":[198,233],"combination":[201,236],"lead-fall,":[203,238],"GA,":[204,239],"GRBF":[206,241],"methods,":[207,242],"corresponding":[210],"were:":[212],"TP":[213],"92.89%,":[214],"FP":[215],"5.68%,":[216],"94.00%.":[220],"test":[222],"B":[225],"(500":[226],"also":[232],"91.80%.":[248]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-03-08T08:50:53.379069","created_date":"2025-10-10T00:00:00"}