{"id":"https://openalex.org/W3200615500","doi":"https://doi.org/10.1109/icufn49451.2021.9528584","title":"Heart Rate Monitoring System Using Feature Extraction in Electrocardiogram Signal by Convolutional Neural Network","display_name":"Heart Rate Monitoring System Using Feature Extraction in Electrocardiogram Signal by Convolutional Neural Network","publication_year":2021,"publication_date":"2021-08-17","ids":{"openalex":"https://openalex.org/W3200615500","doi":"https://doi.org/10.1109/icufn49451.2021.9528584","mag":"3200615500"},"language":"en","primary_location":{"id":"doi:10.1109/icufn49451.2021.9528584","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icufn49451.2021.9528584","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN)","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/A5045543936","display_name":"Hsing\u2010Chung Chen","orcid":"https://orcid.org/0000-0002-5266-9975"},"institutions":[{"id":"https://openalex.org/I143578492","display_name":"Asia University","ror":"https://ror.org/038a1tp19","country_code":"TW","type":"education","lineage":["https://openalex.org/I143578492"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Hsing-Chung Chen","raw_affiliation_strings":["Asia University, Taichung City, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-5266-9975","affiliations":[{"raw_affiliation_string":"Asia University, Taichung City, Taiwan","institution_ids":["https://openalex.org/I143578492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011182684","display_name":"Karamsetty Shouryadhar","orcid":null},"institutions":[{"id":"https://openalex.org/I143578492","display_name":"Asia University","ror":"https://ror.org/038a1tp19","country_code":"TW","type":"education","lineage":["https://openalex.org/I143578492"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Karamsetty Shouryadhar","raw_affiliation_strings":["Asia University, Taichung City, Taiwan"],"raw_orcid":"https://orcid.org/0000-0001-8416-3701","affiliations":[{"raw_affiliation_string":"Asia University, Taichung City, Taiwan","institution_ids":["https://openalex.org/I143578492"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5045543936"],"corresponding_institution_ids":["https://openalex.org/I143578492"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19884246,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"384","last_page":"388"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9973000288009644,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9934999942779541,"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":0.7568403482437134},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7163655161857605},{"id":"https://openalex.org/keywords/heartbeat","display_name":"Heartbeat","score":0.7080761790275574},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6622465252876282},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6517852544784546},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6475266218185425},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.6374262571334839},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5470489263534546},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4542331397533417},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.42864981293678284},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36136871576309204},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08747512102127075},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.06525430083274841}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7568403482437134},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7163655161857605},{"id":"https://openalex.org/C13852961","wikidata":"https://www.wikidata.org/wiki/Q17021880","display_name":"Heartbeat","level":2,"score":0.7080761790275574},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6622465252876282},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6517852544784546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6475266218185425},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.6374262571334839},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5470489263534546},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4542331397533417},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.42864981293678284},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36136871576309204},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08747512102127075},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.06525430083274841},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icufn49451.2021.9528584","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icufn49451.2021.9528584","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7320578087","display_name":null,"funder_award_id":"MOST 110-2218-E-468-001-MBK","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G7963566564","display_name":null,"funder_award_id":"110-2221-E-468-007","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2054780155","https://openalex.org/W2084553975","https://openalex.org/W2095409369","https://openalex.org/W2121239834","https://openalex.org/W2121727866","https://openalex.org/W2294166385","https://openalex.org/W2318059334","https://openalex.org/W2460236366","https://openalex.org/W2508313273","https://openalex.org/W2509185673","https://openalex.org/W2530417694","https://openalex.org/W2549418531","https://openalex.org/W2610332124","https://openalex.org/W2736613094","https://openalex.org/W2753415590","https://openalex.org/W2755364614","https://openalex.org/W2761602021","https://openalex.org/W2767066031","https://openalex.org/W2811277026","https://openalex.org/W2949843150","https://openalex.org/W2955710688","https://openalex.org/W2963707011","https://openalex.org/W2980490465","https://openalex.org/W3005923751","https://openalex.org/W3013966144","https://openalex.org/W4226065182","https://openalex.org/W4239612594","https://openalex.org/W4398786193","https://openalex.org/W6729646992","https://openalex.org/W6743846187","https://openalex.org/W6768898832","https://openalex.org/W6821202406"],"related_works":["https://openalex.org/W4385543909","https://openalex.org/W3039320222","https://openalex.org/W3199640442","https://openalex.org/W1898280036","https://openalex.org/W2315807364","https://openalex.org/W2382278803","https://openalex.org/W2803040299","https://openalex.org/W2376695684","https://openalex.org/W2236027875","https://openalex.org/W2034075638"],"abstract_inverted_index":{"A":[0],"new":[1],"deep":[2],"learning":[3],"architecture,":[4],"which":[5,59,136],"is":[6,26,51,86],"heart":[7,77],"rate":[8,85],"monitoring":[9],"system":[10,34],"using":[11,38],"feature":[12],"extraction":[13],"in":[14,28,58,103,115],"electrocardiogram":[15],"signal":[16],"by":[17],"Convolutional":[18],"Neural":[19],"Network":[20],"(CNN).":[21],"Electrocardiogram":[22],"based":[23,46],"healthcare":[24,138],"applications":[25],"presented":[27],"a":[29,43,69],"federated":[30],"context.":[31],"The":[32,49,93],"proposed":[33,61,124],"correctly":[35],"diagnoses":[36],"arrhythmias":[37,134],"an":[39,65],"auto":[40,66],"encoder":[41,67],"and":[42,68],"classifier,":[44],"both":[45],"on":[47,89],"CNN.":[48],"module":[50,94],"provided":[52],"to":[53,105,109,140],"explain":[54,127],"the":[55,60,74,83,90,97,100,112,119,123,128,132,143],"classification":[56,101,129],"findings":[57,102],"classifier":[62,70,125],"via":[63],"employing":[64],"could":[71,95,126],"check":[72],"whether":[73],"rhythms":[75],"of":[76,99],"are":[78],"normal,":[79],"paced":[80],"up":[81],"or":[82],"heartbeat":[84],"irregular":[87],"depending":[88],"patient's":[91],"situations.":[92],"offer":[96],"explanations":[98],"order":[104],"allow":[106,137],"medical":[107],"practitioners":[108,139],"quickly":[110],"make":[111,142],"trustworthy":[113],"judgments":[114],"preliminary":[116],"diagnoses.":[117],"Finally,":[118],"result":[120],"shows":[121],"that":[122],"for":[130],"finding":[131],"two":[133],"conditions":[135],"rapidly":[141],"correct":[144],"conclusions.":[145]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
