{"id":"https://openalex.org/W4391183712","doi":"https://doi.org/10.1109/asicon58565.2023.10396056","title":"An 842 nW Wearable Inter-Patient Cardiac Arrhythmia Monitoring Processor with a Feature Engine-Based Artificial Neural Network","display_name":"An 842 nW Wearable Inter-Patient Cardiac Arrhythmia Monitoring Processor with a Feature Engine-Based Artificial Neural Network","publication_year":2023,"publication_date":"2023-10-24","ids":{"openalex":"https://openalex.org/W4391183712","doi":"https://doi.org/10.1109/asicon58565.2023.10396056"},"language":"en","primary_location":{"id":"doi:10.1109/asicon58565.2023.10396056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asicon58565.2023.10396056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 15th International Conference on ASIC (ASICON)","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/A5101740226","display_name":"Zihao Ye","orcid":"https://orcid.org/0000-0002-6450-8108"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zihao Ye","raw_affiliation_strings":["Shenzhen University,State Key Laboratory of Radio Frequency Heterogeneous Integration","State Key Laboratory of Radio Frequency Heterogeneous Integration, Shenzhen University"],"affiliations":[{"raw_affiliation_string":"Shenzhen University,State Key Laboratory of Radio Frequency Heterogeneous Integration","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"State Key Laboratory of Radio Frequency Heterogeneous Integration, Shenzhen University","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101296223","display_name":"Xuecong Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuecong Lu","raw_affiliation_strings":["Shenzhen University,State Key Laboratory of Radio Frequency Heterogeneous Integration","State Key Laboratory of Radio Frequency Heterogeneous Integration, Shenzhen University"],"affiliations":[{"raw_affiliation_string":"Shenzhen University,State Key Laboratory of Radio Frequency Heterogeneous Integration","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"State Key Laboratory of Radio Frequency Heterogeneous Integration, Shenzhen University","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100328361","display_name":"Shuai Wang","orcid":"https://orcid.org/0000-0003-4960-1926"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Wang","raw_affiliation_strings":["Shenzhen University,State Key Laboratory of Radio Frequency Heterogeneous Integration","State Key Laboratory of Radio Frequency Heterogeneous Integration, Shenzhen University"],"affiliations":[{"raw_affiliation_string":"Shenzhen University,State Key Laboratory of Radio Frequency Heterogeneous Integration","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"State Key Laboratory of Radio Frequency Heterogeneous Integration, Shenzhen University","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100451269","display_name":"Bing Li","orcid":"https://orcid.org/0000-0002-5055-8921"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Li","raw_affiliation_strings":["Shenzhen University,State Key Laboratory of Radio Frequency Heterogeneous Integration","State Key Laboratory of Radio Frequency Heterogeneous Integration, Shenzhen University"],"affiliations":[{"raw_affiliation_string":"Shenzhen University,State Key Laboratory of Radio Frequency Heterogeneous Integration","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"State Key Laboratory of Radio Frequency Heterogeneous Integration, Shenzhen University","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101740226"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":1.134,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.81553258,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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":0.9923999905586243,"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/T13248","display_name":"Healthcare Technology and Patient Monitoring","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.720897376537323},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7065427303314209},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.619076669216156},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5257942080497742},{"id":"https://openalex.org/keywords/cardiac-arrhythmia","display_name":"Cardiac arrhythmia","score":0.4844493865966797},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3785974979400635},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.375028520822525},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14293691515922546},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.08298534154891968}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.720897376537323},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7065427303314209},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.619076669216156},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5257942080497742},{"id":"https://openalex.org/C2988455589","wikidata":"https://www.wikidata.org/wiki/Q189331","display_name":"Cardiac arrhythmia","level":3,"score":0.4844493865966797},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3785974979400635},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.375028520822525},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14293691515922546},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.08298534154891968},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2779161974","wikidata":"https://www.wikidata.org/wiki/Q815819","display_name":"Atrial fibrillation","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asicon58565.2023.10396056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asicon58565.2023.10396056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 15th International Conference on ASIC (ASICON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2612812511","https://openalex.org/W2801232162","https://openalex.org/W2902644322","https://openalex.org/W2945997721","https://openalex.org/W2974952570","https://openalex.org/W2990491261","https://openalex.org/W3135060602","https://openalex.org/W3157992652"],"related_works":["https://openalex.org/W2294565841","https://openalex.org/W3204276839","https://openalex.org/W4229671472","https://openalex.org/W2513792068","https://openalex.org/W2519522639","https://openalex.org/W4293469093","https://openalex.org/W2006668579","https://openalex.org/W2603734352","https://openalex.org/W2560124335","https://openalex.org/W2037124552"],"abstract_inverted_index":{"Real-time":[0],"arrhythmia":[1,32,172],"monitoring":[2,21,33],"provides":[3],"an":[4,30],"important":[5],"means":[6],"to":[7,51,100,143],"prevent":[8],"sudden":[9],"cardiac":[10],"death":[11],"and":[12,59,64,94,115,132,150,168],"treat":[13],"cardiovascular":[14],"disease":[15],"effectively.":[16],"When":[17],"compared":[18],"with":[19],"cloud":[20],"schemes":[22],"that":[23],"rely":[24],"on":[25],"massive":[26],"wireless":[27],"data":[28],"transmission,":[29],"on-chip":[31],"processor":[34],"embedded":[35],"in":[36,163,171,175],"a":[37,67,176],"wearable":[38],"device":[39],"achieves":[40],"good":[41],"real-time,":[42],"low-power":[43],"performance.":[44,104],"Several":[45],"innovative":[46],"techniques":[47],"are":[48],"proposed":[49,110,128],"here":[50],"balance":[52],"the":[53,71,102,109,116,121,127,133,139],"trade-off":[54],"between":[55,98],"algorithm":[56,85,137],"generalization":[57,103],"performance":[58],"consumption":[60,75,158],"of":[61,108,126,148,154],"limited":[62],"resources":[63],"power.":[65],"Using":[66],"multi-level":[68],"event-driven":[69,130],"architecture,":[70],"processor\u2019s":[72],"standby":[73],"power":[74,157],"is":[76,113,123],"reduced":[77],"through":[78],"event":[79],"wake-up.":[80],"The":[81,105,156],"abnormal":[82,134,140,145,164],"heartbeat":[83,89,106,111,122,135,141],"detection":[84,136,166],"uses":[86],"reconstructed":[87],"multi-cycle":[88],"segments":[90],"as":[91],"classification":[92,173],"objects":[93],"highlights":[95],"correlation":[96],"information":[97],"heartbeats":[99],"improve":[101],"sensitivity":[107,147,153],"locator":[112,142],"99.1%":[114],"positive":[117],"prediction":[118],"rate":[119],"for":[120],"99.7%.":[124],"Use":[125],"multilevel":[129],"architecture":[131],"allowed":[138],"have":[144],"segment":[146,152],"96%":[149],"normal":[151],"82.3%.":[155],"was":[159],"only":[160],"464":[161],"nW":[162,170],"beat":[165],"mode":[167,174],"842":[169],"110":[177],"nm":[178],"CMOS":[179],"process.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
