{"id":"https://openalex.org/W4387677978","doi":"https://doi.org/10.1109/icac57885.2023.10275207","title":"Studying the Impact of Varying Sample Length of ECG Signal on Classification Accuracy","display_name":"Studying the Impact of Varying Sample Length of ECG Signal on Classification Accuracy","publication_year":2023,"publication_date":"2023-08-30","ids":{"openalex":"https://openalex.org/W4387677978","doi":"https://doi.org/10.1109/icac57885.2023.10275207"},"language":"en","primary_location":{"id":"doi:10.1109/icac57885.2023.10275207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icac57885.2023.10275207","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 28th International Conference on Automation and Computing (ICAC)","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/A5005645475","display_name":"Hassan Raza Bukhari","orcid":"https://orcid.org/0000-0002-1105-9978"},"institutions":[{"id":"https://openalex.org/I191240316","display_name":"University of Hull","ror":"https://ror.org/04nkhwh30","country_code":"GB","type":"education","lineage":["https://openalex.org/I191240316"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hassan Raza Bukhari","raw_affiliation_strings":["University of Hull,Department of Computer Science,Kingston upon Hull,UK","Department of Computer Science, University of Hull, Kingston upon Hull, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Hull,Department of Computer Science,Kingston upon Hull,UK","institution_ids":["https://openalex.org/I191240316"]},{"raw_affiliation_string":"Department of Computer Science, University of Hull, Kingston upon Hull, UK","institution_ids":["https://openalex.org/I191240316"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076282777","display_name":"Yongqiang Cheng","orcid":"https://orcid.org/0000-0001-7282-7638"},"institutions":[{"id":"https://openalex.org/I191240316","display_name":"University of Hull","ror":"https://ror.org/04nkhwh30","country_code":"GB","type":"education","lineage":["https://openalex.org/I191240316"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yongqiang Cheng","raw_affiliation_strings":["University of Hull,Department of Computer Science,Kingston upon Hull,UK","Department of Computer Science, University of Hull, Kingston upon Hull, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Hull,Department of Computer Science,Kingston upon Hull,UK","institution_ids":["https://openalex.org/I191240316"]},{"raw_affiliation_string":"Department of Computer Science, University of Hull, Kingston upon Hull, UK","institution_ids":["https://openalex.org/I191240316"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052847739","display_name":"Qingde Li","orcid":"https://orcid.org/0000-0001-5998-7565"},"institutions":[{"id":"https://openalex.org/I191240316","display_name":"University of Hull","ror":"https://ror.org/04nkhwh30","country_code":"GB","type":"education","lineage":["https://openalex.org/I191240316"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qingde Li","raw_affiliation_strings":["University of Hull,Department of Computer Science,Kingston upon Hull,UK","Department of Computer Science, University of Hull, Kingston upon Hull, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Hull,Department of Computer Science,Kingston upon Hull,UK","institution_ids":["https://openalex.org/I191240316"]},{"raw_affiliation_string":"Department of Computer Science, University of Hull, Kingston upon Hull, UK","institution_ids":["https://openalex.org/I191240316"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2088,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5963995,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9995999932289124,"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":0.9995999932289124,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9819999933242798,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9771000146865845,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.693355143070221},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6851922869682312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6829293966293335},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6363897323608398},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5840891003608704},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5597074627876282},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5555739402770996},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4334167540073395},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.43314486742019653},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.4327761232852936},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4167528450489044},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.4139534533023834},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39168062806129456},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2249244749546051},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18830835819244385}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.693355143070221},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6851922869682312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6829293966293335},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6363897323608398},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5840891003608704},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5597074627876282},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5555739402770996},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4334167540073395},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.43314486742019653},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.4327761232852936},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4167528450489044},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.4139534533023834},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39168062806129456},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2249244749546051},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18830835819244385},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icac57885.2023.10275207","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icac57885.2023.10275207","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 28th International Conference on Automation and Computing (ICAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335087","display_name":"Innovate UK","ror":"https://ror.org/05ar5fy68"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1983921492","https://openalex.org/W2079210568","https://openalex.org/W2140944144","https://openalex.org/W2150247202","https://openalex.org/W2162800060","https://openalex.org/W2583604896","https://openalex.org/W2601076665","https://openalex.org/W2751338568","https://openalex.org/W2759483166","https://openalex.org/W2891272861","https://openalex.org/W2953532875","https://openalex.org/W2965520043","https://openalex.org/W3027572331","https://openalex.org/W3095753783","https://openalex.org/W3178317932","https://openalex.org/W3205366539","https://openalex.org/W4213451870","https://openalex.org/W4214934662","https://openalex.org/W4221013482","https://openalex.org/W4281871766","https://openalex.org/W4283205136","https://openalex.org/W6734929197","https://openalex.org/W6754714919","https://openalex.org/W6777710016","https://openalex.org/W6809929728"],"related_works":["https://openalex.org/W4366990902","https://openalex.org/W4317732970","https://openalex.org/W4388550696","https://openalex.org/W4321636153","https://openalex.org/W4313289487","https://openalex.org/W2591672004","https://openalex.org/W2623725391","https://openalex.org/W2385238472","https://openalex.org/W2795722355","https://openalex.org/W2965693718"],"abstract_inverted_index":{"ECG":[0,146],"Signals":[1],"in":[2,17],"digital":[3,24],"format":[4],"are":[5,117],"being":[6,159],"used":[7,111,160],"for":[8,14,101],"gathering":[9],"various":[10],"vital":[11],"information":[12],"and":[13,23,69,94,124,129,148,161],"predicting":[15,142],"diseases":[16,143],"patients":[18],"using":[19,144],"advanced":[20],"artificial":[21],"intelligence":[22],"signal":[25,54,135],"processing":[26],"technologies.":[27],"It":[28],"is":[29,48,172],"important":[30,49],"to":[31,36,43,50,73],"process":[32],"the":[33,38,45,52,75,92,134,139,149,155,162,169],"data":[34,158],"sufficiently":[35],"get":[37],"optimal":[39],"results.":[40],"In":[41],"addition":[42],"cleaning":[44],"dataset,":[46,66,68],"it":[47,130],"select":[51],"right":[53],"length.":[55],"This":[56],"study":[57,74],"uses":[58],"three":[59,112],"publicly":[60],"available":[61],"datasets":[62],"(namely":[63],"autonomic":[64],"aging":[65],"PTB-XL":[67],"PTB":[70],"Diagnostic":[71],"dataset)":[72],"impact":[76,91,138],"of":[77,157,164],"varying":[78,87],"sample":[79,88,99],"lengths":[80,89,100],"on":[81,154],"classification":[82,103,165],"accuracy":[83,93,140],"i.e.,":[84],"understanding":[85],"whether":[86],"can":[90,105,151],"if":[95,168],"so":[96],"how":[97],"different":[98],"certain":[102],"problems":[104],"affect":[106],"it.":[107],"The":[108],"experiments":[109],"performed":[110],"machine":[113],"learning":[114],"algorithms":[115],"which":[116],"Decision":[118],"Tree":[119],"Classifier,":[120,123,128],"Random":[121],"Forest":[122],"State":[125],"Vector":[126],"Machine":[127],"was":[131],"found":[132],"that":[133],"length":[136],"does":[137],"when":[141],"an":[145],"signal,":[147],"behavior":[150],"vary":[152],"depending":[153],"type":[156],"nature":[163],"problem,":[166],"even":[167],"same":[170],"model":[171],"used.":[173]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
