{"id":"https://openalex.org/W3083913352","doi":"https://doi.org/10.1038/s41746-020-00320-4","title":"Multi-task deep learning for cardiac rhythm detection in wearable devices","display_name":"Multi-task deep learning for cardiac rhythm detection in wearable devices","publication_year":2020,"publication_date":"2020-09-09","ids":{"openalex":"https://openalex.org/W3083913352","doi":"https://doi.org/10.1038/s41746-020-00320-4","mag":"3083913352","pmid":"https://pubmed.ncbi.nlm.nih.gov/32964139"},"language":"en","primary_location":{"id":"doi:10.1038/s41746-020-00320-4","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41746-020-00320-4","pdf_url":"https://www.nature.com/articles/s41746-020-00320-4.pdf","source":{"id":"https://openalex.org/S4210195431","display_name":"npj Digital Medicine","issn_l":"2398-6352","issn":["2398-6352"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"npj Digital Medicine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.nature.com/articles/s41746-020-00320-4.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089034549","display_name":"Jessica Torres Soto","orcid":"https://orcid.org/0000-0003-0490-4448"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jessica Torres-Soto","raw_affiliation_strings":["Department of Biomedical Informatics, Stanford University, Stanford, CA USA","Department of Biomedical Informatics, Stanford University, Stanford, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, Stanford University, Stanford, CA USA","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Department of Biomedical Informatics, Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075711252","display_name":"Euan A. Ashley","orcid":"https://orcid.org/0000-0001-9418-9577"},"institutions":[{"id":"https://openalex.org/I4210137306","display_name":"Stanford Medicine","ror":"https://ror.org/03mtd9a03","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210137306","https://openalex.org/I97018004"]},{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Euan A. Ashley","raw_affiliation_strings":["Department of Medicine, Division of Cardiovascular Medicine, Stanford University, Stanford, CA USA","Department of Medicine, Division of Cardiovascular Medicine, Stanford University, Stanford, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Medicine, Division of Cardiovascular Medicine, Stanford University, Stanford, CA USA","institution_ids":["https://openalex.org/I97018004","https://openalex.org/I4210137306"]},{"raw_affiliation_string":"Department of Medicine, Division of Cardiovascular Medicine, Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075711252"],"corresponding_institution_ids":["https://openalex.org/I4210137306","https://openalex.org/I97018004"],"apc_list":{"value":3060,"currency":"USD","value_usd":3060},"apc_paid":{"value":3060,"currency":"USD","value_usd":3060},"fwci":5.7473,"has_fulltext":true,"cited_by_count":132,"citation_normalized_percentile":{"value":0.970606,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"3","issue":"1","first_page":"116","last_page":"116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9998000264167786,"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":0.9998000264167786,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9991000294685364,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9972000122070312,"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":0.7616217732429504},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7130624055862427},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.7109776735305786},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6560080051422119},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5773613452911377},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5766707062721252},{"id":"https://openalex.org/keywords/atrial-fibrillation","display_name":"Atrial fibrillation","score":0.48001307249069214},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46679291129112244},{"id":"https://openalex.org/keywords/smartwatch","display_name":"Smartwatch","score":0.465257465839386},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46433010697364807},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4360865354537964},{"id":"https://openalex.org/keywords/f1-score","display_name":"F1 score","score":0.41846713423728943},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.41059839725494385},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14583781361579895},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.12611183524131775},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.11576101183891296},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09284386038780212}],"concepts":[{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.7616217732429504},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7130624055862427},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.7109776735305786},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6560080051422119},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5773613452911377},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5766707062721252},{"id":"https://openalex.org/C2779161974","wikidata":"https://www.wikidata.org/wiki/Q815819","display_name":"Atrial fibrillation","level":2,"score":0.48001307249069214},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46679291129112244},{"id":"https://openalex.org/C29794715","wikidata":"https://www.wikidata.org/wiki/Q5362345","display_name":"Smartwatch","level":3,"score":0.465257465839386},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46433010697364807},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4360865354537964},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.41846713423728943},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.41059839725494385},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14583781361579895},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.12611183524131775},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.11576101183891296},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09284386038780212},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1038/s41746-020-00320-4","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41746-020-00320-4","pdf_url":"https://www.nature.com/articles/s41746-020-00320-4.pdf","source":{"id":"https://openalex.org/S4210195431","display_name":"npj Digital Medicine","issn_l":"2398-6352","issn":["2398-6352"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"npj Digital Medicine","raw_type":"journal-article"},{"id":"pmid:32964139","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32964139","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":"NPJ digital medicine","raw_type":null},{"id":"pmh:oai:doaj.org/article:5a718835d2b145be865ed6e1fbd315a6","is_oa":true,"landing_page_url":"https://doaj.org/article/5a718835d2b145be865ed6e1fbd315a6","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"npj Digital Medicine, Vol 3, Iss 1, Pp 1-8 (2020)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7481177","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7481177","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"NPJ Digit Med","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1038/s41746-020-00320-4","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41746-020-00320-4","pdf_url":"https://www.nature.com/articles/s41746-020-00320-4.pdf","source":{"id":"https://openalex.org/S4210195431","display_name":"npj Digital Medicine","issn_l":"2398-6352","issn":["2398-6352"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"npj Digital Medicine","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4298717095","display_name":null,"funder_award_id":"T15 LM 007033","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"},{"id":"https://openalex.org/G6339728998","display_name":null,"funder_award_id":"T15 LM 007033","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G6735208692","display_name":null,"funder_award_id":"15 LM 007033","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320332195","display_name":"Samsung","ror":"https://ror.org/04w3jy968"},{"id":"https://openalex.org/F4320334432","display_name":"Stanford Research Computing Center, Stanford University","ror":null},{"id":"https://openalex.org/F4320337372","display_name":"U.S. National Library of Medicine","ror":"https://ror.org/0060t0j89"},{"id":"https://openalex.org/F4320338403","display_name":"Common Fund","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3083913352.pdf","grobid_xml":"https://content.openalex.org/works/W3083913352.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W1849277567","https://openalex.org/W2005741801","https://openalex.org/W2078224158","https://openalex.org/W2113207845","https://openalex.org/W2117987876","https://openalex.org/W2124106073","https://openalex.org/W2138857742","https://openalex.org/W2271840356","https://openalex.org/W2461505578","https://openalex.org/W2510850936","https://openalex.org/W2522264526","https://openalex.org/W2572461490","https://openalex.org/W2584430982","https://openalex.org/W2594994220","https://openalex.org/W2604936030","https://openalex.org/W2606321545","https://openalex.org/W2606856422","https://openalex.org/W2618581983","https://openalex.org/W2762581765","https://openalex.org/W2790444357","https://openalex.org/W2806930130","https://openalex.org/W2807593075","https://openalex.org/W2888509599","https://openalex.org/W2889326414","https://openalex.org/W2896287590","https://openalex.org/W2899314245","https://openalex.org/W2946078250","https://openalex.org/W2947706148","https://openalex.org/W2949117887","https://openalex.org/W2951478888","https://openalex.org/W2963428668","https://openalex.org/W2964008783","https://openalex.org/W2966329817","https://openalex.org/W2980628905","https://openalex.org/W2987985090","https://openalex.org/W2999926771","https://openalex.org/W3002424897","https://openalex.org/W6719181542"],"related_works":["https://openalex.org/W4312200629","https://openalex.org/W4382286161","https://openalex.org/W4386213806","https://openalex.org/W2960456850","https://openalex.org/W2946016983","https://openalex.org/W4317565044","https://openalex.org/W4321192557","https://openalex.org/W4379876715","https://openalex.org/W4221141775","https://openalex.org/W4386214304"],"abstract_inverted_index":{"Wearable":[0],"devices":[1,32,85],"enable":[2],"theoretically":[3],"continuous,":[4],"longitudinal":[5],"monitoring":[6],"of":[7,22,89,110,148,156,171,216],"physiological":[8,102],"measurements":[9],"such":[10,26],"as":[11,27],"step":[12],"count,":[13],"energy":[14],"expenditure,":[15],"and":[16,40,78,104,184,221],"heart":[17,45],"rate.":[18],"Although":[19],"the":[20,56,146,175,196,214],"classification":[21],"abnormal":[23],"cardiac":[24],"rhythms":[25],"atrial":[28,90,149],"fibrillation":[29,150],"from":[30,49,116,120,152],"wearable":[31,83,123],"has":[33],"great":[34],"potential,":[35],"commercial":[36],"algorithms":[37],"remain":[38],"proprietary":[39],"tend":[41],"to":[42,73,158,201,210,213],"focus":[43],"on":[44,55,96,106],"rate":[46],"variability":[47],"derived":[48,168],"green":[50],"spectrum":[51],"LED":[52],"sensors":[53],"placed":[54],"wrist,":[57],"where":[58,174,204],"noise":[59],"remains":[60],"an":[61],"unsolved":[62],"problem.":[63],"Here":[64],"we":[65],"develop":[66],"DeepBeat,":[67],"a":[68,107,131,153,166],"multitask":[69],"deep":[70],"learning":[71,139],"method":[72],"jointly":[74],"assess":[75],"signal":[76],"quality":[77],"arrhythmia":[79],"event":[80],"detection":[81,88,151],"in":[82,128,163],"photoplethysmography":[84],"for":[86],"real-time":[87],"fibrillation.":[91],"The":[92],"model":[93],"is":[94],"trained":[95],"approximately":[97],"one":[98],"million":[99],"simulated":[100],"unlabeled":[101],"signals":[103,115],"fine-tuned":[105],"curated":[108],"dataset":[109],"over":[111,117],"500":[112],"K":[113],"labeled":[114],"100":[118],"individuals":[119],"3":[121],"different":[122],"devices.":[124],"We":[125,160,188],"demonstrate":[126],"that,":[127],"comparison":[129],"with":[130,178],"single-task":[132],"model,":[133],"our":[134,164],"architecture":[135],"using":[136],"unsupervised":[137],"transfer":[138],"through":[140],"convolutional":[141],"denoising":[142],"autoencoders":[143],"dramatically":[144],"improves":[145],"performance":[147],"F1":[154,185],"score":[155,186],"0.54":[157],"0.96.":[159],"also":[161],"include":[162],"evaluation":[165],"prospectively":[167],"replication":[169],"cohort":[170],"ambulatory":[172],"participants":[173],"algorithm":[176],"performed":[177],"high":[179],"sensitivity":[180],"(0.98),":[181],"specificity":[182],"(0.99),":[183],"(0.93).":[187],"show":[189],"that":[190],"two-stage":[191],"training":[192],"can":[193],"help":[194],"address":[195],"unbalanced":[197],"data":[198,219],"problem":[199],"common":[200],"biomedical":[202],"applications,":[203],"large-scale":[205],"well-annotated":[206],"datasets":[207],"are":[208],"hard":[209],"generate":[211],"due":[212],"expense":[215],"manual":[217],"annotation,":[218],"acquisition,":[220],"participant":[222],"privacy.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":34},{"year":2024,"cited_by_count":27},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":3}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2020-09-14T00:00:00"}
