{"id":"https://openalex.org/W4411726200","doi":"https://doi.org/10.1109/meco66322.2025.11049271","title":"Contribution to the Development of Intelligent Systems for Multi-Lead ECG Signal Classification Using Convolutional Neural Networks","display_name":"Contribution to the Development of Intelligent Systems for Multi-Lead ECG Signal Classification Using Convolutional Neural Networks","publication_year":2025,"publication_date":"2025-06-10","ids":{"openalex":"https://openalex.org/W4411726200","doi":"https://doi.org/10.1109/meco66322.2025.11049271"},"language":"en","primary_location":{"id":"doi:10.1109/meco66322.2025.11049271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/meco66322.2025.11049271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 14th Mediterranean Conference on Embedded Computing (MECO)","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Bilgin Demir","orcid":null},"institutions":[{"id":"https://openalex.org/I87643937","display_name":"International Balkan University","ror":"https://ror.org/00ghx1590","country_code":"MK","type":"education","lineage":["https://openalex.org/I87643937"]}],"countries":["MK"],"is_corresponding":false,"raw_author_name":"Bilgin Demir","raw_affiliation_strings":["International Balkan University,Department of Computer Engineering,Skopje,North Macedonia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Balkan University,Department of Computer Engineering,Skopje,North Macedonia","institution_ids":["https://openalex.org/I87643937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112409764","display_name":"Zhilbert Tafa","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086961","display_name":"University for Business and Technology","ror":"https://ror.org/00033n668","country_code":"XK","type":"education","lineage":["https://openalex.org/I4210086961"]}],"countries":["XK"],"is_corresponding":false,"raw_author_name":"Zhilbert Tafa","raw_affiliation_strings":["University for Business and Technology,Department of Computer Science and Engineering,Prishtina,Kosovo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University for Business and Technology,Department of Computer Science and Engineering,Prishtina,Kosovo","institution_ids":["https://openalex.org/I4210086961"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.7414,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.92382496,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.37279999256134033,"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":0.37279999256134033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8094922304153442},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7541964650154114},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.510387122631073},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5052710175514221},{"id":"https://openalex.org/keywords/lead","display_name":"Lead (geology)","score":0.4511498808860779},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3825961947441101},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36204642057418823},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3418399393558502}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8094922304153442},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7541964650154114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.510387122631073},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5052710175514221},{"id":"https://openalex.org/C2777093003","wikidata":"https://www.wikidata.org/wiki/Q6508345","display_name":"Lead (geology)","level":2,"score":0.4511498808860779},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3825961947441101},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36204642057418823},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3418399393558502},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/meco66322.2025.11049271","is_oa":false,"landing_page_url":"https://doi.org/10.1109/meco66322.2025.11049271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 14th Mediterranean Conference on Embedded Computing (MECO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2522158479","https://openalex.org/W2702116941","https://openalex.org/W2792543406","https://openalex.org/W2965520043","https://openalex.org/W3085439927","https://openalex.org/W3134076740","https://openalex.org/W4385415770","https://openalex.org/W4391320858","https://openalex.org/W4391962148","https://openalex.org/W4392284156","https://openalex.org/W4404115913","https://openalex.org/W4405981049","https://openalex.org/W4406511894","https://openalex.org/W6777710016"],"related_works":["https://openalex.org/W4255463199","https://openalex.org/W4281691423","https://openalex.org/W2411039299","https://openalex.org/W1856410221","https://openalex.org/W2318949977","https://openalex.org/W2334139353","https://openalex.org/W4251174968","https://openalex.org/W4243014959","https://openalex.org/W2415764305","https://openalex.org/W4254613272"],"abstract_inverted_index":{"Accurate":[0],"and":[1,59,67,84],"timely":[2],"interpretation":[3],"of":[4,15,35,45,90,96],"electrocardiogram":[5],"(ECG)":[6],"signals":[7],"is":[8],"a":[9,60],"very":[10],"important":[11],"step":[12],"in":[13],"detection":[14],"heart":[16,82],"disease.":[17],"Attempts":[18],"for":[19,50,111],"automated":[20],"ECG":[21,51],"classification":[22],"based":[23],"on":[24],"traditional":[25,97],"Machine":[26],"Learning":[27],"(ML)":[28],"methods":[29,58],"struggle":[30],"with":[31,87],"complex":[32],"spatiotemporal":[33],"nature":[34],"multi-lead":[36],"ECG.":[37],"In":[38],"this":[39],"work,":[40],"we":[41],"explore":[42],"the":[43,94],"potential":[44,110],"Convolutional":[46],"Neural":[47],"Networks":[48],"(CNNs)":[49],"signals\u2019":[52],"classification.":[53],"The":[54,71,100],"study":[55],"combines":[56],"pre-processing":[57],"multi-dimensional":[61],"data-optimized":[62],"CNN":[63],"architecture":[64],"to":[65],"improve":[66],"automatize":[68],"arrhythmia":[69,86],"identification.":[70],"results":[72],"show":[73],"that":[74],"our":[75],"model":[76],"can":[77],"successfully":[78],"distinguish":[79],"between":[80],"normal":[81],"rhythm":[83],"ventricular":[85],"an":[88],"accuracy":[89],"98.56%,":[91],"thus":[92],"transcending":[93],"limitations":[95],"ML":[98],"methods.":[99],"proposed":[101],"system":[102],"has":[103],"also":[104],"low":[105],"runtime,":[106],"which":[107],"indicates":[108],"its":[109],"real-time":[112],"clinical":[113],"deployment.":[114]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}