{"id":"https://openalex.org/W2944339624","doi":"https://doi.org/10.1145/3310273.3323160","title":"A runtime-adaptive cognitive IoT node for healthcare monitoring","display_name":"A runtime-adaptive cognitive IoT node for healthcare monitoring","publication_year":2019,"publication_date":"2019-04-30","ids":{"openalex":"https://openalex.org/W2944339624","doi":"https://doi.org/10.1145/3310273.3323160","mag":"2944339624"},"language":"en","primary_location":{"id":"doi:10.1145/3310273.3323160","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3310273.3323160","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM International Conference on Computing Frontiers","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/A5057785814","display_name":"Matteo Antonio Scrugli","orcid":"https://orcid.org/0000-0001-7441-1425"},"institutions":[{"id":"https://openalex.org/I172446870","display_name":"University of Cagliari","ror":"https://ror.org/003109y17","country_code":"IT","type":"education","lineage":["https://openalex.org/I172446870"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Matteo Antonio Scrugli","raw_affiliation_strings":["University of Cagliari, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cagliari, Italy","institution_ids":["https://openalex.org/I172446870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049453383","display_name":"Daniela Loi","orcid":"https://orcid.org/0000-0002-4075-2798"},"institutions":[{"id":"https://openalex.org/I172446870","display_name":"University of Cagliari","ror":"https://ror.org/003109y17","country_code":"IT","type":"education","lineage":["https://openalex.org/I172446870"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Daniela Loi","raw_affiliation_strings":["University of Cagliari, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cagliari, Italy","institution_ids":["https://openalex.org/I172446870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007761671","display_name":"Luigi Raffo","orcid":"https://orcid.org/0000-0001-9683-009X"},"institutions":[{"id":"https://openalex.org/I172446870","display_name":"University of Cagliari","ror":"https://ror.org/003109y17","country_code":"IT","type":"education","lineage":["https://openalex.org/I172446870"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luigi Raffo","raw_affiliation_strings":["University of Cagliari, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cagliari, Italy","institution_ids":["https://openalex.org/I172446870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050421874","display_name":"Paolo Meloni","orcid":"https://orcid.org/0000-0002-8106-4641"},"institutions":[{"id":"https://openalex.org/I172446870","display_name":"University of Cagliari","ror":"https://ror.org/003109y17","country_code":"IT","type":"education","lineage":["https://openalex.org/I172446870"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Paolo Meloni","raw_affiliation_strings":["University of Cagliari, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cagliari, Italy","institution_ids":["https://openalex.org/I172446870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I172446870"],"apc_list":null,"apc_paid":null,"fwci":1.1931,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.7721172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"350","last_page":"357"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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"}},{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9987000226974487,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9799000024795532,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8282486200332642},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6579517126083374},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5844728946685791},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.5541726350784302},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5426064729690552},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5116434693336487},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5014312267303467},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.48607662320137024},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.470276415348053},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4529293477535248},{"id":"https://openalex.org/keywords/sensor-node","display_name":"Sensor node","score":0.45121434330940247},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.26302629709243774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24232977628707886},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.19925808906555176},{"id":"https://openalex.org/keywords/key-distribution-in-wireless-sensor-networks","display_name":"Key distribution in wireless sensor networks","score":0.1922968626022339},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.1660059690475464}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8282486200332642},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6579517126083374},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5844728946685791},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.5541726350784302},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5426064729690552},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5116434693336487},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5014312267303467},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.48607662320137024},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.470276415348053},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4529293477535248},{"id":"https://openalex.org/C111185680","wikidata":"https://www.wikidata.org/wiki/Q3866206","display_name":"Sensor node","level":5,"score":0.45121434330940247},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.26302629709243774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24232977628707886},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.19925808906555176},{"id":"https://openalex.org/C41971633","wikidata":"https://www.wikidata.org/wiki/Q6398155","display_name":"Key distribution in wireless sensor networks","level":4,"score":0.1922968626022339},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.1660059690475464},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3310273.3323160","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3310273.3323160","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM International Conference on Computing Frontiers","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unica.it:11584/305559","is_oa":false,"landing_page_url":"http://hdl.handle.net/11584/305559","pdf_url":null,"source":{"id":"https://openalex.org/S4377196293","display_name":"UNICA IRIS Institutional Research Information System (University of Cagliari)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172446870","host_organization_name":"University of Cagliari","host_organization_lineage":["https://openalex.org/I172446870"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G1653605790","display_name":"software framework for runtime-Adaptive and secure deep Learning On Heterogeneous Architectures","funder_award_id":"780788","funder_id":"https://openalex.org/F4320338475","funder_display_name":"H2020 LEIT Information and Communication Technologies"},{"id":"https://openalex.org/G3464972371","display_name":null,"funder_award_id":"F/050395/01-02/X32","funder_id":"https://openalex.org/F4320324632","funder_display_name":"Ministero dello Sviluppo Economico"},{"id":"https://openalex.org/G3956885847","display_name":null,"funder_award_id":"783162","funder_id":"https://openalex.org/F4320327207","funder_display_name":"Electronic Components and Systems for European Leadership"}],"funders":[{"id":"https://openalex.org/F4320324632","display_name":"Ministero dello Sviluppo Economico","ror":"https://ror.org/011z3ff80"},{"id":"https://openalex.org/F4320327207","display_name":"Electronic Components and Systems for European Leadership","ror":null},{"id":"https://openalex.org/F4320338475","display_name":"H2020 LEIT Information and Communication Technologies","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1487819558","https://openalex.org/W1998611303","https://openalex.org/W2058092201","https://openalex.org/W2105975104","https://openalex.org/W2405768559","https://openalex.org/W2413528297","https://openalex.org/W2541133059","https://openalex.org/W2594104185","https://openalex.org/W2736034775","https://openalex.org/W2773756801","https://openalex.org/W2775229114","https://openalex.org/W2784372305","https://openalex.org/W2794557162","https://openalex.org/W2797694788","https://openalex.org/W2884754815","https://openalex.org/W2888371562","https://openalex.org/W2892639869","https://openalex.org/W2899645952","https://openalex.org/W2906910264","https://openalex.org/W2910842105","https://openalex.org/W2913789442","https://openalex.org/W3100768276","https://openalex.org/W4213329295"],"related_works":["https://openalex.org/W1977342959","https://openalex.org/W2536494564","https://openalex.org/W2565425112","https://openalex.org/W2545116705","https://openalex.org/W2525537297","https://openalex.org/W2148549110","https://openalex.org/W28080522","https://openalex.org/W145760256","https://openalex.org/W2036199279","https://openalex.org/W1591611979"],"abstract_inverted_index":{"Wearable":[0],"and":[1,46,159],"energy":[2],"efficient":[3],"processing":[4,33,74],"nodes,":[5],"allowing":[6],"for":[7,63,148],"continuous":[8],"remote":[9],"monitoring":[10],"of":[11,27,48,51,72,92,109],"patient":[12],"vital":[13],"parameters,":[14],"are":[15,113],"mainstream":[16],"in":[17,163],"modern":[18],"health-care":[19],"practice.":[20],"Most":[21],"recent":[22],"approaches":[23],"to":[24,37,76,79,98,103],"the":[25,40,49,52,70,99,110,137,161],"development":[26],"such":[28],"systems":[29],"combine":[30],"near-sensor":[31],"data":[32],"with":[34,152],"cognitive":[35],"computing,":[36],"improve":[38],"at":[39],"same":[41],"time":[42],"communication":[43],"efficiency,":[44],"responsiveness":[45],"accuracy":[47],"analysis":[50],"sensed":[53],"data.":[54],"In":[55],"this":[56],"paper,":[57],"we":[58],"present":[59],"a":[60,64,116,128],"hardware-software":[61],"architecture":[62],"connected":[65],"sensor-processing":[66],"node":[67],"that":[68],"allows":[69],"set":[71],"in-place":[73],"tasks":[75],"be":[77,80],"executed":[78],"remotely":[81],"controllable":[82],"by":[83],"an":[84],"external":[85],"user.":[86],"The":[87,107],"designed":[88],"system":[89,162],"is":[90],"capable":[91],"dynamically":[93],"adapting":[94],"its":[95],"operating":[96],"point":[97],"selected":[100],"computational":[101],"load,":[102],"minimize":[104],"power":[105,145],"consumption.":[106],"benefits":[108],"proposed":[111,138],"approach":[112,139],"tested":[114],"on":[115],"use-case":[117],"involving":[118],"ECG":[119,125,150],"monitoring,":[120],"that,":[121],"when":[122],"selected,":[123],"performs":[124],"classification":[126],"using":[127],"lightweigth":[129],"convolutional":[130],"neural":[131],"network.":[132],"Experimental":[133],"results":[134],"show":[135],"how":[136],"can":[140],"provide":[141],"more":[142],"than":[143,154,165],"50%":[144],"consumption":[146],"reduction":[147],"common":[149],"activity,":[151],"less":[153,164],"2%":[155],"memory":[156],"footprint":[157],"overhead":[158],"reconfiguring":[160],"1":[166],"ms.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}