{"id":"https://openalex.org/W3083676648","doi":"https://doi.org/10.1109/mwscas48704.2020.9184581","title":"A Simple Extreme Learning Machine Model for Detecting Heart Arrhythmia in The Electrocardiography Signal","display_name":"A Simple Extreme Learning Machine Model for Detecting Heart Arrhythmia in The Electrocardiography Signal","publication_year":2020,"publication_date":"2020-08-01","ids":{"openalex":"https://openalex.org/W3083676648","doi":"https://doi.org/10.1109/mwscas48704.2020.9184581","mag":"3083676648"},"language":"en","primary_location":{"id":"doi:10.1109/mwscas48704.2020.9184581","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas48704.2020.9184581","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 63rd International Midwest Symposium on Circuits and Systems (MWSCAS)","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":"https://openalex.org/A5068710183","display_name":"Zag ElSayed","orcid":"https://orcid.org/0000-0001-9094-1469"},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nelly Elsayed","raw_affiliation_strings":["School of Information Technology, University of Cincinnati, Cincinnati, Ohio, United states"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology, University of Cincinnati, Cincinnati, Ohio, United states","institution_ids":["https://openalex.org/I63135867"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108127985","display_name":"Zaghloul Saad Zaghloul","orcid":null},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zaghloul Saad Zaghloul","raw_affiliation_strings":["School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, Louisiana, United states"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, Louisiana, United states","institution_ids":["https://openalex.org/I79516672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6424,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.81868969,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":"2007","issue":null,"first_page":"513","last_page":"516"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9975000023841858,"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":0.9975000023841858,"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/T12676","display_name":"Machine Learning and ELM","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/extreme-learning-machine","display_name":"Extreme learning machine","score":0.7156027555465698},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6863805055618286},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.6313998699188232},{"id":"https://openalex.org/keywords/electrocardiography","display_name":"Electrocardiography","score":0.5897774696350098},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5225974321365356},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.48037275671958923},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.43642759323120117},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38163989782333374},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3241589665412903},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2263670265674591},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.17006978392601013},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.1481766402721405},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10087314248085022}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.7156027555465698},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6863805055618286},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.6313998699188232},{"id":"https://openalex.org/C2780040984","wikidata":"https://www.wikidata.org/wiki/Q79785","display_name":"Electrocardiography","level":2,"score":0.5897774696350098},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5225974321365356},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.48037275671958923},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.43642759323120117},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38163989782333374},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3241589665412903},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2263670265674591},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.17006978392601013},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.1481766402721405},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10087314248085022},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mwscas48704.2020.9184581","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas48704.2020.9184581","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 63rd International Midwest Symposium on Circuits and Systems (MWSCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.4399999976158142},{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W46659105","https://openalex.org/W758931788","https://openalex.org/W1493035193","https://openalex.org/W1842428664","https://openalex.org/W1968983915","https://openalex.org/W1972142091","https://openalex.org/W1986019364","https://openalex.org/W1988115241","https://openalex.org/W2008429100","https://openalex.org/W2045867791","https://openalex.org/W2055429730","https://openalex.org/W2098290011","https://openalex.org/W2100595623","https://openalex.org/W2111072639","https://openalex.org/W2120925869","https://openalex.org/W2145044818","https://openalex.org/W2155895707","https://openalex.org/W2162800060","https://openalex.org/W2165772152","https://openalex.org/W2167982865","https://openalex.org/W2168630917","https://openalex.org/W2342387592","https://openalex.org/W2482102801","https://openalex.org/W2748902594","https://openalex.org/W2798651459","https://openalex.org/W2900184860","https://openalex.org/W3008801903","https://openalex.org/W3106455851","https://openalex.org/W3146925300","https://openalex.org/W3202389943","https://openalex.org/W4285719527","https://openalex.org/W6602002561"],"related_works":["https://openalex.org/W2067443264","https://openalex.org/W31566076","https://openalex.org/W4297902562","https://openalex.org/W2741186499","https://openalex.org/W2804652951","https://openalex.org/W2968645206","https://openalex.org/W2556335056","https://openalex.org/W2002678693","https://openalex.org/W1584764049","https://openalex.org/W2765298776"],"abstract_inverted_index":{"Electrocardiogram":[0],"(ECG)":[1],"or":[2,81],"(EKG)":[3],"is":[4,63],"the":[5,10,14,38,43,48,52,56],"common":[6],"mechanism":[7],"of":[8,13],"recording":[9],"electrical":[11],"signals":[12],"heart":[15,18,34],"to":[16,66],"detect":[17],"impairment":[19],"functionality.":[20],"In":[21,60],"this":[22],"paper,":[23],"we":[24],"proposed":[25,44],"a":[26,69],"novel":[27],"Extreme":[28],"Learning":[29],"Machine":[30],"based":[31],"model":[32,46,50],"for":[33],"arrhythmia":[35,58],"detection":[36,53],"in":[37,51],"ECG":[39,57],"signal":[40],"(ELM-D).":[41],"Empirically,":[42],"ELM-D":[45],"exceeds":[47],"state-of-the-art":[49],"accuracy":[54],"over":[55],"benchmarks.":[59],"addition,":[61],"it":[62,74],"quite":[64],"simple":[65],"implement":[67],"using":[68],"small":[70,83],"implementation":[71],"budget.":[72],"Moreover,":[73],"could":[75],"be":[76],"implemented":[77],"on":[78],"an":[79],"FPGA":[80],"any":[82],"hardware":[84],"device.":[85]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}