{"id":"https://openalex.org/W2172181210","doi":"https://doi.org/10.1109/ijcnn.2004.1381011","title":"Analysis of features for efficient ECG signal classification using neuro-fuzzy network","display_name":"Analysis of features for efficient ECG signal classification using neuro-fuzzy network","publication_year":2005,"publication_date":"2005-01-31","ids":{"openalex":"https://openalex.org/W2172181210","doi":"https://doi.org/10.1109/ijcnn.2004.1381011","mag":"2172181210"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2004.1381011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1381011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","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/A5009405646","display_name":"S. Osowski","orcid":"https://orcid.org/0000-0003-3194-4656"},"institutions":[{"id":"https://openalex.org/I2800249161","display_name":"Military University of Technology in Warsaw","ror":"https://ror.org/05fct5h31","country_code":"PL","type":"education","lineage":["https://openalex.org/I2800249161"]},{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"S. Osowski","raw_affiliation_strings":["Military University of Technology, Warsaw, Poland","Warsaw University of Technology, Warsaw, Poland"],"affiliations":[{"raw_affiliation_string":"Military University of Technology, Warsaw, Poland","institution_ids":["https://openalex.org/I2800249161"]},{"raw_affiliation_string":"Warsaw University of Technology, Warsaw, Poland","institution_ids":["https://openalex.org/I108403487"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014074870","display_name":"Tr\u1ea7n Ho\u00e0i Linh","orcid":"https://orcid.org/0000-0001-9757-8041"},"institutions":[{"id":"https://openalex.org/I64519617","display_name":"Hanoi University","ror":"https://ror.org/01mxx0e62","country_code":"VN","type":"education","lineage":["https://openalex.org/I64519617"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Linh Tran Hoai","raw_affiliation_strings":["Hanoi University of Technology, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Hanoi University of Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I64519617"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5009405646"],"corresponding_institution_ids":["https://openalex.org/I108403487","https://openalex.org/I2800249161"],"apc_list":null,"apc_paid":null,"fwci":0.3942,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.69759263,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"2443","last_page":"2448"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9990000128746033,"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":0.9990000128746033,"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/T14438","display_name":"Advanced Scientific Research Methods","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.963699996471405,"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/computer-science","display_name":"Computer science","score":0.6838014721870422},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5339668393135071},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5257354974746704},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.49955296516418457},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45856085419654846},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.432902991771698},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4305761456489563},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35213303565979004},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.348460853099823},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33668431639671326},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.26783135533332825}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6838014721870422},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5339668393135071},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5257354974746704},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.49955296516418457},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45856085419654846},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.432902991771698},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4305761456489563},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35213303565979004},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.348460853099823},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33668431639671326},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.26783135533332825},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2004.1381011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1381011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7799999713897705,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1554427862","https://openalex.org/W1987801991","https://openalex.org/W2017487767","https://openalex.org/W2117624000","https://openalex.org/W2124776405","https://openalex.org/W2124785086","https://openalex.org/W2145044818","https://openalex.org/W2151691407","https://openalex.org/W2285257517","https://openalex.org/W2798909945","https://openalex.org/W3176049587","https://openalex.org/W6633326937","https://openalex.org/W6647172677"],"related_works":["https://openalex.org/W1629725936","https://openalex.org/W2123696440","https://openalex.org/W594580893","https://openalex.org/W2521192297","https://openalex.org/W1683858715","https://openalex.org/W87698298","https://openalex.org/W2128433050","https://openalex.org/W2081588675","https://openalex.org/W2380160423","https://openalex.org/W2362813665"],"abstract_inverted_index":{"The":[0,30,76],"paper":[1],"considers":[2],"the":[3,7,16,20,24,27,46,50,55,64],"problem":[4],"of":[5,9,15,19,26,49,63,79,81,84],"optimizing":[6],"set":[8],"features":[10],"following":[11],"from":[12],"Hermite":[13],"representation":[14],"QRS":[17],"complex":[18],"electrocardiogram":[21],"signals":[22],"for":[23,72],"classification":[25],"heart":[28,86],"arrhythmias.":[29],"principal":[31],"component":[32],"analysis":[33],"as":[34,36],"well":[35,70],"specially":[37],"defined":[38],"quality":[39],"measure":[40],"have":[41,58],"been":[42],"applied":[43],"to":[44],"verify":[45],"discriminative":[47],"ability":[48],"proposed":[51],"feature":[52],"set.":[53],"As":[54],"classifier":[56],"we":[57],"used":[59],"Takagi-Sugeno-Kang":[60],"neuro-fuzzy":[61],"network":[62],"modified":[65],"structure":[66],"and":[67,90],"learning":[68],"algorithm,":[69],"suited":[71],"large":[73],"size":[74],"problems.":[75],"numerical":[77],"results":[78],"recognition":[80],"7":[82],"types":[83],"different":[85],"rhythms":[87],"are":[88],"presented":[89],"discussed.":[91]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
