{"id":"https://openalex.org/W3112405501","doi":"https://doi.org/10.1145/3429889.3429897","title":"Arrhythmia Classifier Using a Layer-wise Quantized Convolutional Neural Network for Resource-Constrained Devices","display_name":"Arrhythmia Classifier Using a Layer-wise Quantized Convolutional Neural Network for Resource-Constrained Devices","publication_year":2020,"publication_date":"2020-09-11","ids":{"openalex":"https://openalex.org/W3112405501","doi":"https://doi.org/10.1145/3429889.3429897","mag":"3112405501"},"language":"en","primary_location":{"id":"doi:10.1145/3429889.3429897","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3429889.3429897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st International Symposium on Artificial Intelligence in Medical Sciences","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/A5100736057","display_name":"Zhiqing Li","orcid":"https://orcid.org/0000-0002-5222-6867"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiqing Li","raw_affiliation_strings":["School of Electronic Science and Engineering, Southeast University, Nanjing, Jiangsu China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Southeast University, Nanjing, Jiangsu China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100325345","display_name":"Hongwei Li","orcid":"https://orcid.org/0000-0002-8401-6135"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongwei Li","raw_affiliation_strings":["School of Electronic Science and Engineering, Southeast University, Nanjing, Jiangsu China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Southeast University, Nanjing, Jiangsu China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042391120","display_name":"Xuemei Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuemei Fan","raw_affiliation_strings":["School of Electronic Science and Engineering, Southeast University, Nanjing, Jiangsu China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Southeast University, Nanjing, Jiangsu China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100976357","display_name":"Feng Chu","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Chu","raw_affiliation_strings":["School of Electronic Science and Engineering, Southeast University, Nanjing, Jiangsu China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Southeast University, Nanjing, Jiangsu China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007960012","display_name":"Shengli Lu","orcid":"https://orcid.org/0000-0001-5769-8671"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengli Lu","raw_affiliation_strings":["School of Electronic Science and Engineering, Southeast University, Nanjing, Jiangsu China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Southeast University, Nanjing, Jiangsu China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115594348","display_name":"Hao Liu","orcid":"https://orcid.org/0000-0002-9071-6859"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Liu","raw_affiliation_strings":["School of Electronic Science and Engineering, Southeast University, Nanjing, Jiangsu China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Southeast University, Nanjing, Jiangsu China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100736057"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.8962,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.78013296,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"38","last_page":"44"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9984999895095825,"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":0.9793000221252441,"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":0.7755225896835327},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6322242617607117},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6122009754180908},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5850960612297058},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5813917517662048},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5320495367050171},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.5221208333969116},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.43852171301841736},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.41191965341567993},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37574025988578796},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34788578748703003},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.16861552000045776},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13543352484703064},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.1261824071407318}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7755225896835327},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6322242617607117},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6122009754180908},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5850960612297058},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5813917517662048},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5320495367050171},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.5221208333969116},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.43852171301841736},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.41191965341567993},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37574025988578796},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34788578748703003},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.16861552000045776},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13543352484703064},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.1261824071407318},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3429889.3429897","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3429889.3429897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st International Symposium on Artificial Intelligence in Medical Sciences","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":29,"referenced_works":["https://openalex.org/W1571031637","https://openalex.org/W1977036718","https://openalex.org/W2020654727","https://openalex.org/W2095409369","https://openalex.org/W2108396267","https://openalex.org/W2112796928","https://openalex.org/W2162273778","https://openalex.org/W2194775991","https://openalex.org/W2291961022","https://openalex.org/W2558257659","https://openalex.org/W2594529350","https://openalex.org/W2748818695","https://openalex.org/W2754781819","https://openalex.org/W2755507768","https://openalex.org/W2767076830","https://openalex.org/W2773207997","https://openalex.org/W2798504536","https://openalex.org/W2889838428","https://openalex.org/W2891342985","https://openalex.org/W2902644322","https://openalex.org/W2932995131","https://openalex.org/W2962761403","https://openalex.org/W2963029056","https://openalex.org/W2963273111","https://openalex.org/W2969035745","https://openalex.org/W6617368339","https://openalex.org/W6687483927","https://openalex.org/W6730271795","https://openalex.org/W6746370421"],"related_works":["https://openalex.org/W4225394202","https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W3032952384","https://openalex.org/W3034302643","https://openalex.org/W1847088711","https://openalex.org/W3036642985","https://openalex.org/W2964335273","https://openalex.org/W1889624880","https://openalex.org/W2229372569"],"abstract_inverted_index":{"An":[0],"arrhythmia":[1],"diagnosis":[2,8],"neural":[3,34,57,122,138],"network":[4,58,123],"can":[5,14,22],"perform":[6],"real-time":[7,146],"through":[9],"continuous":[10,144],"monitoring,":[11,145],"and":[12,41,96,111,127,131,148],"it":[13,98,132],"warn":[15],"against":[16],"potential":[17,149],"risks.":[18],"Moreover,":[19],"these":[20],"networks":[21,35,139],"be":[23],"installed":[24],"in":[25,48,140],"resources-constrained":[26,50,141],"devices":[27,142],"like":[28],"wearable":[29],"devices.":[30,51],"However,":[31],"the":[32,93,134],"existing":[33],"suffer":[36],"from":[37],"high":[38,125],"memory":[39,113],"consumption":[40,114],"power":[42],"consumption,":[43,130],"which":[44,76],"limit":[45],"their":[46],"application":[47],"low-power":[49],"Here,":[52],"we":[53,85],"proposed":[54,86,104],"a":[55,71,87,107,121],"novel":[56],"classifier":[59,105],"to":[60,99],"classify":[61],"17":[62],"different":[63],"rhythm":[64],"classes":[65],"using":[66],"1,000":[67],"long-duration":[68],"electrocardiograms,":[69],"achieving":[70],"classification":[72,109],"accuracy":[73,110],"of":[74,136],"95.72%,":[75],"is":[77],"4.32%":[78],"higher":[79],"than":[80],"current":[81],"state-of-the-art":[82],"methods.":[83,102],"Additionally,":[84],"layer-wise":[88],"quantization":[89,101],"method":[90],"based":[91],"on":[92],"greedy":[94],"algorithm":[95],"compared":[97],"other":[100],"The":[103],"achieved":[106],"95.39%":[108],"reduced":[112],"by":[115],"15.5":[116],"times.":[117],"Our":[118],"study":[119],"realizes":[120],"with":[124],"performance":[126],"low":[128],"resources":[129],"demonstrates":[133],"possibility":[135],"implementing":[137],"for":[143],"diagnosis,":[147],"risk":[150],"warnings.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
