{"id":"https://openalex.org/W4292873634","doi":"https://doi.org/10.1109/memea54994.2022.9856438","title":"Atrial Fibrillation Detection by Means of Edge Computing on Wearable Device: A Feasibility Assessment","display_name":"Atrial Fibrillation Detection by Means of Edge Computing on Wearable Device: A Feasibility Assessment","publication_year":2022,"publication_date":"2022-06-22","ids":{"openalex":"https://openalex.org/W4292873634","doi":"https://doi.org/10.1109/memea54994.2022.9856438"},"language":"en","primary_location":{"id":"doi:10.1109/memea54994.2022.9856438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea54994.2022.9856438","pdf_url":null,"source":{"id":"https://openalex.org/S4363605601","display_name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","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 Medical Measurements and Applications (MeMeA)","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/A5081862174","display_name":"Riccardo Sabbadini","orcid":"https://orcid.org/0000-0002-3574-9842"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Riccardo Sabbadini","raw_affiliation_strings":["Universit&#x00E0; of Naples Federico II,Department of Electrical Engineering and Information Technology,Naples,Italy"],"affiliations":[{"raw_affiliation_string":"Universit&#x00E0; of Naples Federico II,Department of Electrical Engineering and Information Technology,Naples,Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050995717","display_name":"Michele Riccio","orcid":"https://orcid.org/0000-0002-5926-4911"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Michele Riccio","raw_affiliation_strings":["Universit&#x00E0; of Naples Federico II,Department of Electrical Engineering and Information Technology,Naples,Italy"],"affiliations":[{"raw_affiliation_string":"Universit&#x00E0; of Naples Federico II,Department of Electrical Engineering and Information Technology,Naples,Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008395870","display_name":"Luca Maresca","orcid":"https://orcid.org/0000-0003-4660-5163"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca Maresca","raw_affiliation_strings":["Universit&#x00E0; of Naples Federico II,Department of Electrical Engineering and Information Technology,Naples,Italy"],"affiliations":[{"raw_affiliation_string":"Universit&#x00E0; of Naples Federico II,Department of Electrical Engineering and Information Technology,Naples,Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063756019","display_name":"Andrea Irace","orcid":"https://orcid.org/0000-0003-1400-8380"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Irace","raw_affiliation_strings":["Universit&#x00E0; of Naples Federico II,Department of Electrical Engineering and Information Technology,Naples,Italy"],"affiliations":[{"raw_affiliation_string":"Universit&#x00E0; of Naples Federico II,Department of Electrical Engineering and Information Technology,Naples,Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089190449","display_name":"Giovanni Breglio","orcid":"https://orcid.org/0000-0002-9350-5483"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanni Breglio","raw_affiliation_strings":["Universit&#x00E0; of Naples Federico II,Department of Electrical Engineering and Information Technology,Naples,Italy"],"affiliations":[{"raw_affiliation_string":"Universit&#x00E0; of Naples Federico II,Department of Electrical Engineering and Information Technology,Naples,Italy","institution_ids":["https://openalex.org/I71267560"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5081862174"],"corresponding_institution_ids":["https://openalex.org/I71267560"],"apc_list":null,"apc_paid":null,"fwci":3.2828,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.94425676,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9994000196456909,"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":0.9994000196456909,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9962999820709229,"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"}},{"id":"https://openalex.org/T10065","display_name":"Atrial Fibrillation Management and Outcomes","score":0.9940000176429749,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.7494211792945862},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6831125617027283},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.6486167907714844},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6175808906555176},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5472511649131775},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5412907004356384},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5140279531478882},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4914814233779907},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4879254996776581},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.468091756105423},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44627293944358826},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44325020909309387},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43826720118522644},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.43535101413726807},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4315713346004486},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3407133221626282},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.24488553404808044},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.21327123045921326},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20141178369522095}],"concepts":[{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.7494211792945862},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6831125617027283},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.6486167907714844},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6175808906555176},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5472511649131775},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5412907004356384},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5140279531478882},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4914814233779907},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4879254996776581},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.468091756105423},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44627293944358826},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44325020909309387},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43826720118522644},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.43535101413726807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4315713346004486},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3407133221626282},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.24488553404808044},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.21327123045921326},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20141178369522095},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/memea54994.2022.9856438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea54994.2022.9856438","pdf_url":null,"source":{"id":"https://openalex.org/S4363605601","display_name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","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 Medical Measurements and Applications (MeMeA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309590","display_name":"Universit\u00e0 degli Studi di Napoli Federico II","ror":"https://ror.org/05290cv24"},{"id":"https://openalex.org/F4320321873","display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca","ror":"https://ror.org/0166hxq48"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1988681682","https://openalex.org/W2088204643","https://openalex.org/W2114775432","https://openalex.org/W2475064587","https://openalex.org/W2543249910","https://openalex.org/W2563404472","https://openalex.org/W2606856422","https://openalex.org/W2762292543","https://openalex.org/W2766415135","https://openalex.org/W2801316980","https://openalex.org/W2890046404","https://openalex.org/W2898654552","https://openalex.org/W2906848975","https://openalex.org/W2942975361","https://openalex.org/W2944130429","https://openalex.org/W2954292238","https://openalex.org/W2975409120","https://openalex.org/W2982688549","https://openalex.org/W2999838010","https://openalex.org/W2999992707","https://openalex.org/W3006649679","https://openalex.org/W3011570285","https://openalex.org/W3014345815","https://openalex.org/W3017994033","https://openalex.org/W3020880822","https://openalex.org/W3039293802","https://openalex.org/W3117484845","https://openalex.org/W3143747181","https://openalex.org/W3157212560","https://openalex.org/W3178796201","https://openalex.org/W4289743957","https://openalex.org/W6697703423","https://openalex.org/W6753098791"],"related_works":["https://openalex.org/W3090300519","https://openalex.org/W2514492205","https://openalex.org/W4250401876","https://openalex.org/W2943851981","https://openalex.org/W2566526749","https://openalex.org/W2907667791","https://openalex.org/W3047461507","https://openalex.org/W3126390843","https://openalex.org/W4245880644","https://openalex.org/W4312415459"],"abstract_inverted_index":{"Cardio":[0],"Vascular":[1],"Diseases":[2],"(CVDs)":[3],"represent":[4,32],"one":[5],"of":[6,27,40,48,107,115,131,143,150,164,170,186,195,203,208,217,225,272,280,288],"the":[7,15,19,38,46,64,74,78,112,132,137,141,148,151,154,184,199,209,226,238,252,256,273,278,285,289],"main":[8],"burden":[9],"that":[10,80,258,275],"affected":[11],"world":[12],"population":[13],"in":[14,18,51,70,124,248],"last":[16],"and":[17,153,175,183,198,234,284],"current":[20],"decades.":[21],"The":[22,160,178,191,206,228],"early":[23],"detection":[24,100],"by":[25],"means":[26],"wide":[28],"screening":[29],"population-wide":[30],"may":[31],"a":[33,93,144,223,270],"good":[34],"path":[35],"to":[36,56,62,68,72,104,134,158,250,277],"avoid":[37],"worsening":[39],"pre-existent":[41],"situation.":[42],"In":[43],"this":[44,110,125,281],"arena,":[45],"use":[47],"wearable":[49,120],"devices":[50,243],"combination":[52],"with":[53,128,213,269],"deep":[54],"learning":[55,179],"deliver":[57],"edge":[58,86,118],"computing":[59,87,119],"system":[60,121,257,283],"seems":[61],"be":[63,135,260],"most":[65],"viable":[66],"pathway":[67],"follow":[69],"order":[71,249],"fight":[73],"CVDs":[75],"burden.":[76],"Despite":[77],"fact":[79],"many":[81],"studies":[82],"have":[83],"concentrated":[84],"on":[85,96,109],"techniques":[88],"for":[89,219,240,262],"CVDs,":[90],"there":[91],"is":[92,122,162,181,189,230,266],"limited":[94,105],"literature":[95],"Atrial":[97],"Fibrillation":[98],"(AF)":[99],"directly":[101],"on-device.":[102],"Due":[103],"availability":[106],"research":[108],"topic,":[111],"feasibility":[113],"assessment":[114],"an":[116,129,214,245],"on-device":[117,233],"described":[123],"work.":[126],"Starting":[127],"examination":[130],"features":[133],"considered,":[136],"study":[138],"progresses":[139],"through":[140],"building":[142],"Neural":[145],"Network":[146],"(NN),":[147],"training":[149,187,192],"model,":[152],"on-cloud":[155],"testing":[156,200],"process":[157],"completion.":[159],"NN":[161],"composed":[163],"4":[165],"hidden":[166],"layer":[167],"made":[168],"up":[169],"respectively":[171],"5,":[172],"30,":[173],"20":[174],"10":[176],"node.":[177],"rate":[180],"0.005":[182],"number":[185],"cycle":[188],"30.":[190],"set":[193,201],"consists":[194,202],"3362":[196],"windows,":[197],"796":[204],"windows.":[205],"findings":[207],"test":[210],"are":[211],"encouraging,":[212],"output":[215],"F1-score":[216],"0.94":[218],"AF":[220],"recognition":[221],"as":[222],"result":[224],"test.":[227],"model":[229],"then":[231],"deployed":[232],"evaluated":[235],"offline,":[236],"without":[237],"need":[239],"any":[241],"additional":[242],"or":[244],"internet":[246],"connection,":[247],"run":[251],"inference":[253],"process.":[254],"Finally,":[255],"will":[259],"used":[261],"future":[263],"human":[264],"trials":[265],"presented,":[267],"together":[268],"description":[271],"factors":[274],"led":[276],"selection":[279],"particular":[282],"major":[286],"characteristic":[287],"sensors.":[290]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
