{"id":"https://openalex.org/W4282982032","doi":"https://doi.org/10.1109/noms54207.2022.9789801","title":"Dynamic-Deep: Tune ECG Task Performance and Optimize Compression in IoT Architectures","display_name":"Dynamic-Deep: Tune ECG Task Performance and Optimize Compression in IoT Architectures","publication_year":2022,"publication_date":"2022-04-25","ids":{"openalex":"https://openalex.org/W4282982032","doi":"https://doi.org/10.1109/noms54207.2022.9789801"},"language":"en","primary_location":{"id":"doi:10.1109/noms54207.2022.9789801","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms54207.2022.9789801","pdf_url":null,"source":{"id":"https://openalex.org/S4363605650","display_name":"NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium","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":"NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium","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/A5074102069","display_name":"Eli Brosh","orcid":"https://orcid.org/0009-0005-1722-5059"},"institutions":[{"id":"https://openalex.org/I138898306","display_name":"Reichman University","ror":"https://ror.org/01px5cv07","country_code":"IL","type":"education","lineage":["https://openalex.org/I138898306"]},{"id":"https://openalex.org/I4210093787","display_name":"Herzliya Medical Center","ror":"https://ror.org/00m6hsp80","country_code":"IL","type":"healthcare","lineage":["https://openalex.org/I4210093787"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Eli Brosh","raw_affiliation_strings":["Reichman University,Computer Science Department,Herzliya,Israel","Computer Science Department, Reichman University, Herzliya, Israel"],"affiliations":[{"raw_affiliation_string":"Reichman University,Computer Science Department,Herzliya,Israel","institution_ids":["https://openalex.org/I4210093787","https://openalex.org/I138898306"]},{"raw_affiliation_string":"Computer Science Department, Reichman University, Herzliya, Israel","institution_ids":["https://openalex.org/I4210093787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022956506","display_name":"Elad Wasserstein","orcid":null},"institutions":[{"id":"https://openalex.org/I138898306","display_name":"Reichman University","ror":"https://ror.org/01px5cv07","country_code":"IL","type":"education","lineage":["https://openalex.org/I138898306"]},{"id":"https://openalex.org/I4210093787","display_name":"Herzliya Medical Center","ror":"https://ror.org/00m6hsp80","country_code":"IL","type":"healthcare","lineage":["https://openalex.org/I4210093787"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Elad Wasserstein","raw_affiliation_strings":["Reichman University,Computer Science Department,Herzliya,Israel","Computer Science Department, Reichman University, Herzliya, Israel"],"affiliations":[{"raw_affiliation_string":"Reichman University,Computer Science Department,Herzliya,Israel","institution_ids":["https://openalex.org/I4210093787","https://openalex.org/I138898306"]},{"raw_affiliation_string":"Computer Science Department, Reichman University, Herzliya, Israel","institution_ids":["https://openalex.org/I4210093787"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091083281","display_name":"Anat Bremler-Barr","orcid":"https://orcid.org/0000-0002-8165-2558"},"institutions":[{"id":"https://openalex.org/I4210093787","display_name":"Herzliya Medical Center","ror":"https://ror.org/00m6hsp80","country_code":"IL","type":"healthcare","lineage":["https://openalex.org/I4210093787"]},{"id":"https://openalex.org/I138898306","display_name":"Reichman University","ror":"https://ror.org/01px5cv07","country_code":"IL","type":"education","lineage":["https://openalex.org/I138898306"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Anat Bremler-Barr","raw_affiliation_strings":["Reichman University,Computer Science Department,Herzliya,Israel","Computer Science Department, Reichman University, Herzliya, Israel"],"affiliations":[{"raw_affiliation_string":"Reichman University,Computer Science Department,Herzliya,Israel","institution_ids":["https://openalex.org/I4210093787","https://openalex.org/I138898306"]},{"raw_affiliation_string":"Computer Science Department, Reichman University, Herzliya, Israel","institution_ids":["https://openalex.org/I4210093787"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074102069"],"corresponding_institution_ids":["https://openalex.org/I138898306","https://openalex.org/I4210093787"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0625,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"313","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":0.9988999962806702,"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":0.9988999962806702,"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/T10904","display_name":"Embedded Systems Design Techniques","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9948999881744385,"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":0.8005373477935791},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6408792734146118},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.5949633717536926},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4658660888671875},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4106298089027405},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3881995975971222},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10245507955551147},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.08355054259300232}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8005373477935791},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6408792734146118},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.5949633717536926},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4658660888671875},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4106298089027405},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3881995975971222},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10245507955551147},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.08355054259300232},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/noms54207.2022.9789801","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms54207.2022.9789801","pdf_url":null,"source":{"id":"https://openalex.org/S4363605650","display_name":"NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium","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":"NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium","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":25,"referenced_works":["https://openalex.org/W129768320","https://openalex.org/W1926815826","https://openalex.org/W1990653637","https://openalex.org/W2014053060","https://openalex.org/W2016943313","https://openalex.org/W2031614119","https://openalex.org/W2100495367","https://openalex.org/W2119144962","https://openalex.org/W2291378922","https://openalex.org/W2731010577","https://openalex.org/W2766839578","https://openalex.org/W2884238387","https://openalex.org/W2895912163","https://openalex.org/W2963094037","https://openalex.org/W2963650755","https://openalex.org/W2982853315","https://openalex.org/W3033523981","https://openalex.org/W3035197843","https://openalex.org/W3082645995","https://openalex.org/W3125536987","https://openalex.org/W6605260128","https://openalex.org/W6638579982","https://openalex.org/W6677580257","https://openalex.org/W6740609221","https://openalex.org/W6745499037"],"related_works":["https://openalex.org/W4245926026","https://openalex.org/W4311097251","https://openalex.org/W2586548817","https://openalex.org/W2625093826","https://openalex.org/W2950174689","https://openalex.org/W4200598720","https://openalex.org/W2921026492","https://openalex.org/W4247463117","https://openalex.org/W4361251261","https://openalex.org/W3031181660"],"abstract_inverted_index":{"Monitoring":[0],"medical":[1],"data,":[2],"e.g.,":[3],"Electrocardiogram":[4],"(ECG)":[5],"signals,":[6],"is":[7,122,220,269],"a":[8,86,94,113,140,212,251,259],"common":[9,184],"application":[10,60],"of":[11,13,26,57,133,139,180,215,218,265,285],"Internet":[12],"Things":[14],"(IoT)":[15],"devices.":[16],"Compression":[17],"methods":[18],"are":[19],"often":[20],"applied":[21],"on":[22,69,74,98,170,183,244,278],"the":[23,35,39,55,76,80,99,126,130,134,145,150,163,173,224,237,245,263,270,280,290],"massive":[24],"amounts":[25],"sensor":[27],"data":[28,159],"generated":[29],"prior":[30],"to":[31,34,37,64,124,206,222,233,236,258,276,292],"sending":[32],"it":[33],"Cloud":[36,109,247],"reduce":[38,54],"storage":[40],"and":[41,152,228,289],"delivery":[42],"costs.":[43],"A":[44],"lossy":[45,88],"compression":[46,49,89,115,151,261,295],"provides":[47],"high":[48,283],"gain":[50],"(CG),":[51],"but":[52],"may":[53],"performance":[56,96,131,167,284],"an":[58,104,154,177],"ECG":[59,70,185,190,298],"(downstream":[61],"task)":[62],"due":[63],"information":[65],"loss.":[66],"Previous":[67],"works":[68],"monitoring":[71,299],"focus":[72,277],"either":[73],"optimizing":[75],"signal":[77],"reconstruction":[78],"or":[79],"task\u2019s":[81,165],"performance.":[82],"Instead,":[83],"we":[84,249],"advocate":[85],"self-adapting":[87],"solution":[90],"that":[91,107,201],"allows":[92],"configuring":[93],"desired":[95,166],"level":[97],"downstream":[100,135,164,287],"tasks":[101,136,288],"while":[102,128],"maintaining":[103,129],"optimized":[105,155,294],"CG":[106,127,230],"reduces":[108],"costs.We":[110],"propose":[111],"Dynamic-Deep,":[112],"task-aware":[114],"geared":[116],"for":[117,157,162,282],"IoT-Cloud":[118],"architectures.":[119],"Our":[120],"compressor":[121],"trained":[123],"optimize":[125],"requirement":[132],"chosen":[137],"out":[138],"wide":[141,213],"range.":[142],"In":[143],"deployment,":[144],"IoT":[146,297],"edge":[147],"device":[148],"adapts":[149],"sends":[153],"representation":[156],"each":[158],"segment,":[160],"accounting":[161],"without":[168],"relying":[169],"feedback":[171],"from":[172],"Cloud.":[174],"We":[175,199],"conduct":[176],"extensive":[178],"evaluation":[179],"our":[181,266],"approach":[182],"datasets":[186],"using":[187],"two":[188],"popular":[189],"applications,":[191],"which":[192,219],"includes":[193],"heart":[194],"rate":[195],"(HR)":[196],"arrhythmia":[197],"classification.":[198],"demonstrate":[200],"Dynamic-Deep":[202,243,268],"can":[203],"be":[204],"configured":[205],"improve":[207,223],"HR":[208],"classification":[209],"F1-score":[210,225],"in":[211,254,296],"range":[214],"requirements.":[216],"One":[217],"tuned":[221],"by":[226,231],"3":[227],"increases":[229],"up":[232],"83%":[234],"compared":[235,257],"previous":[238],"state-of-the-art":[239],"(autoencoder-based)":[240],"compressor.":[241],"Analyzing":[242],"Google":[246],"Platform,":[248],"observe":[250],"97%":[252],"reduction":[253],"cloud":[255],"costs":[256],"no":[260],"solution.To":[262],"best":[264],"knowledge,":[267],"first":[271],"end-to-end":[272],"system":[273],"architecture":[274],"proposal":[275],"balancing":[279],"need":[281],"cloud-based":[286],"desire":[291],"achieve":[293],"settings.":[300]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
