{"id":"https://openalex.org/W4312920675","doi":"https://doi.org/10.1109/iscas48785.2022.9937756","title":"An Event-Driven Compressive Neuromorphic System for Cardiac Arrhythmia Detection","display_name":"An Event-Driven Compressive Neuromorphic System for Cardiac Arrhythmia Detection","publication_year":2022,"publication_date":"2022-05-28","ids":{"openalex":"https://openalex.org/W4312920675","doi":"https://doi.org/10.1109/iscas48785.2022.9937756"},"language":"en","primary_location":{"id":"doi:10.1109/iscas48785.2022.9937756","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937756","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5100666545","display_name":"Jinbo Chen","orcid":"https://orcid.org/0000-0001-6202-9165"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinbo Chen","raw_affiliation_strings":["Zhejiang University,Hangzhou,Zhejiang,China,310058","CenBRAIN Lab., School of Engineering, Westlake University, Hangzhou, Zhejiang, China","Zhejiang University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University,Hangzhou,Zhejiang,China,310058","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"CenBRAIN Lab., School of Engineering, Westlake University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I3133055985"]},{"raw_affiliation_string":"Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009667181","display_name":"Fengshi Tian","orcid":"https://orcid.org/0000-0003-1304-5593"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Fengshi Tian","raw_affiliation_strings":["Westlake University,CenBRAIN Lab., School of Engineering,Hangzhou,Zhejiang,China,310024","Department of ECE, HKUST, Hong Kong SAR, China"],"affiliations":[{"raw_affiliation_string":"Westlake University,CenBRAIN Lab., School of Engineering,Hangzhou,Zhejiang,China,310024","institution_ids":["https://openalex.org/I3133055985"]},{"raw_affiliation_string":"Department of ECE, HKUST, Hong Kong SAR, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007036605","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0002-4148-0042"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yang","raw_affiliation_strings":["Westlake University,CenBRAIN Lab., School of Engineering,Hangzhou,Zhejiang,China,310024"],"affiliations":[{"raw_affiliation_string":"Westlake University,CenBRAIN Lab., School of Engineering,Hangzhou,Zhejiang,China,310024","institution_ids":["https://openalex.org/I3133055985"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082509767","display_name":"Mohamad Sawan","orcid":"https://orcid.org/0000-0002-4137-7272"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mohamad Sawan","raw_affiliation_strings":["Westlake University,CenBRAIN Lab., School of Engineering,Hangzhou,Zhejiang,China,310024"],"affiliations":[{"raw_affiliation_string":"Westlake University,CenBRAIN Lab., School of Engineering,Hangzhou,Zhejiang,China,310024","institution_ids":["https://openalex.org/I3133055985"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100666545"],"corresponding_institution_ids":["https://openalex.org/I3133055985","https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":4.1584,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.96279009,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2690","last_page":"2694"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9991000294685364,"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":0.9990000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.884608268737793},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7952970266342163},{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.5003859996795654},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4907570779323578},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.48976993560791016},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4627660810947418},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4592738747596741},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.42940157651901245},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.4235304594039917},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.41475486755371094},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.409889817237854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3942973017692566},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33677908778190613},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3138704299926758},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.24267679452896118},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09136092662811279}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.884608268737793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7952970266342163},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.5003859996795654},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4907570779323578},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.48976993560791016},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4627660810947418},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4592738747596741},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.42940157651901245},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.4235304594039917},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.41475486755371094},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.409889817237854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3942973017692566},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33677908778190613},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3138704299926758},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.24267679452896118},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09136092662811279},{"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iscas48785.2022.9937756","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937756","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-123583","is_oa":false,"landing_page_url":"http://www.scopus.com/record/display.url?eid=2-s2.0-85142468126&origin=inward","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.9100000262260437}],"awards":[],"funders":[{"id":"https://openalex.org/F4320318567","display_name":"Westlake University","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2010966890","https://openalex.org/W2040912879","https://openalex.org/W2079640164","https://openalex.org/W2088350283","https://openalex.org/W2095409369","https://openalex.org/W2109596721","https://openalex.org/W2162800060","https://openalex.org/W2477175099","https://openalex.org/W2586356224","https://openalex.org/W2621826044","https://openalex.org/W2798927217","https://openalex.org/W2952620776","https://openalex.org/W2977718165","https://openalex.org/W2990491261","https://openalex.org/W2993772905","https://openalex.org/W3018737547","https://openalex.org/W3043214110","https://openalex.org/W3090267384","https://openalex.org/W3157992652","https://openalex.org/W3158225453","https://openalex.org/W3199569676"],"related_works":["https://openalex.org/W4376464557","https://openalex.org/W2767651786","https://openalex.org/W2912288872","https://openalex.org/W564581980","https://openalex.org/W3149134546","https://openalex.org/W2224772615","https://openalex.org/W2969301869","https://openalex.org/W2008581335","https://openalex.org/W3090951784","https://openalex.org/W4297581759"],"abstract_inverted_index":{"Wearable":[0],"electrocardiograph":[1],"(ECG)":[2],"recording":[3,46,83,95],"and":[4,31,47,62,96,131,163,176],"processing":[5,49],"systems":[6],"have":[7],"been":[8],"developed":[9],"to":[10,14,92],"detect":[11],"cardiac":[12,52],"arrhythmia":[13,53,64,115,165],"help":[15],"prevent":[16],"heart":[17],"attacks.":[18],"Conventional":[19],"wearable":[20],"systems,":[21],"however,":[22],"suffer":[23],"from":[24],"high":[25,63],"energy":[26,99,133],"consumption":[27,61,134],"at":[28,135],"both":[29],"circuit":[30],"system":[32,50,57,68,136,144,180],"levels.":[33],"To":[34],"overcome":[35],"the":[36,82,87,101,106,122,142,160,171,177],"design":[37],"challenges,":[38],"this":[39],"paper":[40],"proposes":[41],"an":[42],"event-driven":[43],"compressive":[44,94],"ECG":[45,90],"neuromorphic":[48,114],"for":[51],"detection.":[54],"The":[55],"proposed":[56,107,143],"achieves":[58,148],"low":[59,132],"power":[60],"detection":[65,116,130,166],"accuracy":[66,167],"via":[67],"level":[69,181],"co-design":[70,182],"with":[71,121,145,156,168,183],"spike-based":[72,123],"information":[73],"representation.":[74],"Event-driven":[75],"level-crossing":[76],"ADC":[77,98],"(LC-ADC)":[78],"is":[79,118],"exploited":[80],"in":[81,159],"system,":[84],"which":[85],"utilizes":[86],"sparsity":[88],"of":[89,125,151,174,179],"signal":[91,103],"enable":[93],"save":[97],"during":[100],"silent":[102],"period.":[104],"Meanwhile,":[105],"spiking":[108],"convolutional":[109],"neural":[110],"network":[111],"(SCNN)":[112],"based":[113],"method":[117],"inherently":[119],"compatible":[120],"output":[124],"LC-ADC,":[126],"hence":[127],"realizing":[128],"accurate":[129],"level.":[137],"Simulation":[138],"results":[139],"show":[140],"that":[141],"5-bit":[146],"LC-ADC":[147,175],"88.6%":[149],"reduction":[150],"sampled":[152],"data":[153],"points":[154],"compared":[155],"Nyquist":[157],"sampling":[158],"MIT-BIH":[161],"dataset,":[162],"93.59%":[164],"SCNN,":[169],"demonstrating":[170],"compression":[172],"ability":[173],"effectiveness":[178],"SCNN.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}