{"id":"https://openalex.org/W4295485608","doi":"https://doi.org/10.1109/embc48229.2022.9871612","title":"Lightweight neural network based model for real-time precise HR monitoring during high intensity workout using consumer smartwatches","display_name":"Lightweight neural network based model for real-time precise HR monitoring during high intensity workout using consumer smartwatches","publication_year":2022,"publication_date":"2022-07-11","ids":{"openalex":"https://openalex.org/W4295485608","doi":"https://doi.org/10.1109/embc48229.2022.9871612","pmid":"https://pubmed.ncbi.nlm.nih.gov/36086072"},"language":"en","primary_location":{"id":"doi:10.1109/embc48229.2022.9871612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc48229.2022.9871612","pdf_url":null,"source":{"id":"https://openalex.org/S4363607706","display_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","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 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5080845073","display_name":"\u0406\u043b\u043b\u044f \u0424\u0435\u0434\u043e\u0440\u0456\u043d","orcid":"https://orcid.org/0000-0002-0611-9120"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Illia Fedorin","raw_affiliation_strings":["Samsung R&D Institute Ukraine,Kyiv,Ukraine,01032"],"affiliations":[{"raw_affiliation_string":"Samsung R&D Institute Ukraine,Kyiv,Ukraine,01032","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045000743","display_name":"Vitalii Pohribnyi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vitalii Pohribnyi","raw_affiliation_strings":["Samsung R&D Institute Ukraine,Kyiv,Ukraine,01032"],"affiliations":[{"raw_affiliation_string":"Samsung R&D Institute Ukraine,Kyiv,Ukraine,01032","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056943786","display_name":"Denys Sverdlov","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Denys Sverdlov","raw_affiliation_strings":["Samsung R&D Institute Ukraine,Kyiv,Ukraine,01032"],"affiliations":[{"raw_affiliation_string":"Samsung R&D Institute Ukraine,Kyiv,Ukraine,01032","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063857882","display_name":"Illia Krasnoshchok","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Illia Krasnoshchok","raw_affiliation_strings":["Samsung R&D Institute Ukraine,Kyiv,Ukraine,01032"],"affiliations":[{"raw_affiliation_string":"Samsung R&D Institute Ukraine,Kyiv,Ukraine,01032","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5080845073"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.963,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71514243,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"2022","issue":null,"first_page":"1310","last_page":"1313"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9998999834060669,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9983999729156494,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9936000108718872,"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/computer-science","display_name":"Computer science","score":0.7140817642211914},{"id":"https://openalex.org/keywords/smartwatch","display_name":"Smartwatch","score":0.6718503832817078},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6177076697349548},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.5096228122711182},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.42995941638946533},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.4148254692554474},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3952707052230835},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.36515551805496216},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.20668742060661316}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7140817642211914},{"id":"https://openalex.org/C29794715","wikidata":"https://www.wikidata.org/wiki/Q5362345","display_name":"Smartwatch","level":3,"score":0.6718503832817078},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6177076697349548},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.5096228122711182},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.42995941638946533},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.4148254692554474},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3952707052230835},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.36515551805496216},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.20668742060661316},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006339","descriptor_name":"Heart Rate","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006339","descriptor_name":"Heart Rate","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006339","descriptor_name":"Heart Rate","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc48229.2022.9871612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc48229.2022.9871612","pdf_url":null,"source":{"id":"https://openalex.org/S4363607706","display_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","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 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:36086072","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36086072","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1983397055","https://openalex.org/W2005741801","https://openalex.org/W2101502430","https://openalex.org/W2592075940","https://openalex.org/W2785695157","https://openalex.org/W2899602604","https://openalex.org/W2943541732","https://openalex.org/W2962182608","https://openalex.org/W2981784774","https://openalex.org/W2994445340","https://openalex.org/W3005348902","https://openalex.org/W3008653021","https://openalex.org/W3081877814","https://openalex.org/W3084813517","https://openalex.org/W3127423251","https://openalex.org/W3138440227","https://openalex.org/W3208297018","https://openalex.org/W4200109547","https://openalex.org/W4200394775","https://openalex.org/W6747514317","https://openalex.org/W6761970203","https://openalex.org/W6783085372","https://openalex.org/W6805150864"],"related_works":["https://openalex.org/W4285587629","https://openalex.org/W2765158217","https://openalex.org/W3090300519","https://openalex.org/W2514492205","https://openalex.org/W4250401876","https://openalex.org/W2943851981","https://openalex.org/W2756171776","https://openalex.org/W2790190351","https://openalex.org/W2566526749","https://openalex.org/W2007382769"],"abstract_inverted_index":{"Mobile":[0],"and":[1,31,41,59,166,169,216,249,262],"wearable":[2,44,120],"electronics":[3],"is":[4,75,154,158],"one":[5,50],"of":[6,11,28,37,39,51,62,69,72,89,119,127,161,178,182,196,234,241,245],"the":[7,35,60,63,70,76,83,149,175,180,231,235,242],"rapidly":[8],"developing":[9],"areas":[10],"high":[12,150,276],"technologies,":[13],"which":[14,102],"regularly":[15],"appear":[16],"new":[17,21],"devices":[18,45,74,121],"that":[19,79,93],"offer":[20],"features":[22],"for":[23,131,141,268],"monitoring":[24,147],"our":[25,136],"health,":[26],"level":[27],"physical":[29,152,278],"exertion":[30],"everyday":[32],"activity.":[33],"From":[34,174],"point":[36,177],"view":[38],"medicine":[40],"sports,":[42],"usually":[43],"are":[46,80,91,103],"used":[47],"to":[48,258],"solve":[49],"two":[52],"tasks:":[53],"round-the-clock":[54],"continuous":[55],"heart":[56,64,145,246,272],"rate":[57,65,146,247,273],"monitoring,":[58],"control":[61],"during":[66,148,199,275],"workout.":[67],"One":[68],"drawbacks":[71],"such":[73,109],"calculation":[77],"errors":[78],"caused":[81],"by":[82],"motion":[84],"artifacts.":[85],"The":[86,156,188],"most":[87],"critical":[88],"them":[90],"those":[92],"arise":[94],"in":[95,239],"some":[96],"cases":[97],"when":[98,209,219],"performing":[99],"high-intensity":[100],"training's,":[101],"conjugate":[104],"with":[105],"intense":[106],"hands":[107],"movements,":[108],"as":[110],"sprint":[111],"running":[112],"or":[113],"boxing.":[114],"In":[115,135],"addition,":[116],"limited":[117],"resources":[118],"do":[122],"not":[123],"always":[124],"allow":[125],"usage":[126],"very":[128],"complex":[129],"algorithms":[130],"processing":[132,165],"certain":[133],"events.":[134],"work,":[137],"an":[138,191,204],"ultra-lightweight":[139],"framework":[140,267],"a":[142,159,162,260,269],"precise":[143],"real-time":[144],"intensity":[151,277],"exercises":[153],"developed.":[155],"model":[157,189],"combination":[160],"digital":[163],"signal":[164],"deep":[167],"convolutional":[168],"recurrent":[170],"neural":[171,264],"networks":[172],"approaches.":[173],"personalization":[176],"view,":[179],"effect":[181],"anthropometric":[183],"parameters":[184],"has":[185],"been":[186],"studied.":[187],"shows":[190],"average":[192],"mean":[193],"absolute":[194],"error":[195],"2.4\u00b12.8":[197],"bpm":[198,208,218],"5":[200],"fold":[201],"cross-validation":[202],"on":[203,211,221],"internal":[205],"dataset,":[206],"2.9\u00b13.4":[207],"evaluated":[210,220],"12":[212],"IEEE":[213],"SPC":[214],"subjects,":[215],"4.8\u00b15.3":[217],"24":[222],"subjects":[223],"from":[224],"Wonkwang":[225],"University":[226],"dataset.":[227],"Such":[228],"results":[229],"exceed":[230],"current":[232],"state":[233],"art":[236],"solutions":[237],"both":[238],"terms":[240],"achieved":[243],"accuracy":[244],"estimation":[248,274],"consumed":[250],"computational":[251],"resources.":[252],"Clinical":[253],"relevance-":[254],"This":[255],"work":[256],"aims":[257],"provide":[259],"robust":[261],"lightweight":[263],"network":[265],"based":[266],"real":[270],"time":[271],"exercises.":[279]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}