{"id":"https://openalex.org/W4416477349","doi":"https://doi.org/10.1145/3680207.3765663","title":"Poster: Smart ECG Classification with Wearable Sensing and Cloud AI: A Mobile Health Approach Using Multi-Feature Time Series","display_name":"Poster: Smart ECG Classification with Wearable Sensing and Cloud AI: A Mobile Health Approach Using Multi-Feature Time Series","publication_year":2025,"publication_date":"2025-11-03","ids":{"openalex":"https://openalex.org/W4416477349","doi":"https://doi.org/10.1145/3680207.3765663"},"language":null,"primary_location":{"id":"doi:10.1145/3680207.3765663","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3680207.3765663","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3680207.3765663","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st Annual International Conference on Mobile Computing and Networking","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3680207.3765663","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070349657","display_name":"Grzegorz K\u0142osowski","orcid":"https://orcid.org/0000-0001-7927-3674"},"institutions":[{"id":"https://openalex.org/I8264552","display_name":"Lublin University of Technology","ror":"https://ror.org/024zjzd49","country_code":"PL","type":"education","lineage":["https://openalex.org/I8264552"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Grzegorz K\u0142osowski","raw_affiliation_strings":["Lublin University of Technology, Lublin, Poland"],"raw_orcid":"https://orcid.org/0000-0001-7927-3674","affiliations":[{"raw_affiliation_string":"Lublin University of Technology, Lublin, Poland","institution_ids":["https://openalex.org/I8264552"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066003040","display_name":"Tomasz Rymarczyk","orcid":"https://orcid.org/0000-0002-3524-9151"},"institutions":[{"id":"https://openalex.org/I2799788900","display_name":"University of Economics and Innovation","ror":"https://ror.org/012a85e51","country_code":"PL","type":"education","lineage":["https://openalex.org/I2799788900"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Tomasz Rymarczyk","raw_affiliation_strings":["WSEI University, Lublin, Poland"],"raw_orcid":"https://orcid.org/0000-0002-3524-9151","affiliations":[{"raw_affiliation_string":"WSEI University, Lublin, Poland","institution_ids":["https://openalex.org/I2799788900"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003667387","display_name":"Konrad Niderla","orcid":"https://orcid.org/0000-0003-1280-0622"},"institutions":[{"id":"https://openalex.org/I2799788900","display_name":"University of Economics and Innovation","ror":"https://ror.org/012a85e51","country_code":"PL","type":"education","lineage":["https://openalex.org/I2799788900"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Konrad Niderla","raw_affiliation_strings":["WSEI University, Lublin, Poland"],"raw_orcid":"https://orcid.org/0000-0003-1280-0622","affiliations":[{"raw_affiliation_string":"WSEI University, Lublin, Poland","institution_ids":["https://openalex.org/I2799788900"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101849973","display_name":"Marcin Kowalski","orcid":"https://orcid.org/0000-0002-1644-0612"},"institutions":[{"id":"https://openalex.org/I2799788900","display_name":"University of Economics and Innovation","ror":"https://ror.org/012a85e51","country_code":"PL","type":"education","lineage":["https://openalex.org/I2799788900"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Marcin Kowalski","raw_affiliation_strings":["WSEI University, Lublin, Poland"],"raw_orcid":"https://orcid.org/0000-0002-1644-0612","affiliations":[{"raw_affiliation_string":"WSEI University, Lublin, Poland","institution_ids":["https://openalex.org/I2799788900"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085895836","display_name":"Manuchehr Soleimani","orcid":"https://orcid.org/0000-0002-6341-9592"},"institutions":[{"id":"https://openalex.org/I51601045","display_name":"University of Bath","ror":"https://ror.org/002h8g185","country_code":"GB","type":"education","lineage":["https://openalex.org/I51601045"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Manuchehr Soleimani","raw_affiliation_strings":["University of Bath, Bath, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-6341-9592","affiliations":[{"raw_affiliation_string":"University of Bath, Bath, United Kingdom","institution_ids":["https://openalex.org/I51601045"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5070349657"],"corresponding_institution_ids":["https://openalex.org/I8264552"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.50988691,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1290","last_page":"1292"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.5464000105857849,"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":0.5464000105857849,"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":0.25859999656677246,"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":0.04089999943971634,"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":0.6984999775886536},{"id":"https://openalex.org/keywords/smartwatch","display_name":"Smartwatch","score":0.5791000127792358},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5467000007629395},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5224000215530396},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.48840001225471497},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.48019999265670776},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4336000084877014},{"id":"https://openalex.org/keywords/holter-monitor","display_name":"Holter monitor","score":0.42989999055862427},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.4194999933242798},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.41929998993873596}],"concepts":[{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6984999775886536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6319000124931335},{"id":"https://openalex.org/C29794715","wikidata":"https://www.wikidata.org/wiki/Q5362345","display_name":"Smartwatch","level":3,"score":0.5791000127792358},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5467000007629395},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5224000215530396},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.48840001225471497},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.48019999265670776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47519999742507935},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4336000084877014},{"id":"https://openalex.org/C2779812945","wikidata":"https://www.wikidata.org/wiki/Q1162673","display_name":"Holter monitor","level":3,"score":0.42989999055862427},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.4194999933242798},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.41929998993873596},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.3790999948978424},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.3781999945640564},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.3749000132083893},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37059998512268066},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.3677999973297119},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.3513000011444092},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.3481999933719635},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.32760000228881836},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32749998569488525},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.3246999979019165},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.32339999079704285},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3190999925136566},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.31520000100135803},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.31040000915527344},{"id":"https://openalex.org/C2780040984","wikidata":"https://www.wikidata.org/wiki/Q79785","display_name":"Electrocardiography","level":2,"score":0.2955999970436096},{"id":"https://openalex.org/C175079658","wikidata":"https://www.wikidata.org/wiki/Q7312165","display_name":"Remote patient monitoring","level":2,"score":0.27970001101493835},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C2775841894","wikidata":"https://www.wikidata.org/wiki/Q4683692","display_name":"Sleep (system call)","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.2531999945640564},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.250900000333786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3680207.3765663","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3680207.3765663","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3680207.3765663","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st Annual International Conference on Mobile Computing and Networking","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3680207.3765663","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3680207.3765663","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3680207.3765663","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st Annual International Conference on Mobile Computing and Networking","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416477349.pdf","grobid_xml":"https://content.openalex.org/works/W4416477349.grobid-xml"},"referenced_works_count":2,"referenced_works":["https://openalex.org/W4407929935","https://openalex.org/W4412148938"],"related_works":[],"abstract_inverted_index":{"We":[0],"introduce":[1],"a":[2,14,139,149,154,157],"wearable-based":[3],"system":[4,123,141],"for":[5,63,142],"real-time":[6],"ECG":[7,19,146,151],"anomaly":[8],"detection":[9],"and":[10,41,55,83,101,111,117,132,144,156],"contextual":[11],"interpretation":[12],"within":[13],"mobile-health":[15],"framework.":[16],"Twenty-four-hour":[17],"Holter":[18,110,150],"data":[20],"are":[21],"synchronized":[22],"over":[23],"wireless/mobile":[24],"networks":[25],"with":[26,80,106,152],"e.g.":[27],"Apple":[28,112],"Health":[29],"streams":[30],"(iPhone":[31],"+":[32],"iWatch),":[33],"including":[34,148],"activity":[35,82],"states":[36],"(walking,":[37],"running,":[38],"resting,":[39],"sleeping)":[40],"heart":[42],"rate":[43],"history.":[44],"A":[45],"hybrid":[46],"preprocessing":[47],"pipeline":[48],"extracts":[49],"instantaneous":[50],"frequency":[51],"(Hilbert),":[52],"spectral":[53],"entropy,":[54],"RMS":[56],"energy,":[57],"concatenated":[58],"into":[59],"fixed-length":[60],"multichannel":[61],"tensors":[62],"deep-learning":[64],"models":[65],"deployed":[66],"via":[67],"edge":[68],"or":[69,99],"cloud":[70],"SaaS.":[71],"The":[72],"model":[73],"detects":[74],"critical":[75],"cardiac":[76],"anomalies":[77],"correlating":[78],"each":[79],"user":[81],"exertion":[84],"context.":[85],"This":[86],"multimodal":[87],"approach":[88],"distinguishes":[89],"physiological":[90],"deviations":[91],"during":[92],"motion":[93,103],"from":[94],"pathological":[95],"events":[96],"at":[97],"rest":[98],"sleep":[100],"suppresses":[102],"artifacts.":[104],"Experiments":[105],"subjects":[107],"wearing":[108],"both":[109],"devices":[113],"demonstrate":[114],"improved":[115],"sensitivity":[116],"specificity":[118],"versus":[119],"ECG-only":[120],"baselines.":[121],"Our":[122],"exemplifies":[124],"wearable":[125],"computing,":[126],"mobile":[127,130,134],"health,":[128],"ML-enabled":[129],"systems,":[131],"edge/cloud":[133],"analytics.":[135],"Fig.":[136],"1":[137],"shows":[138],"complete":[140],"recording":[143],"classifying":[145],"signals,":[147],"electrodes,":[153],"smartphone":[155],"smartwatch":[158],"[1].":[159]},"counts_by_year":[],"updated_date":"2026-03-13T14:20:09.374765","created_date":"2025-11-23T00:00:00"}
