{"id":"https://openalex.org/W4411086409","doi":"https://doi.org/10.1109/jbhi.2025.3576385","title":"Denoising Motion-Corrupted Seismocardiogram Signals Using Score-Based Generative Diffusion Models","display_name":"Denoising Motion-Corrupted Seismocardiogram Signals Using Score-Based Generative Diffusion Models","publication_year":2025,"publication_date":"2025-06-06","ids":{"openalex":"https://openalex.org/W4411086409","doi":"https://doi.org/10.1109/jbhi.2025.3576385","pmid":"https://pubmed.ncbi.nlm.nih.gov/40478705"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2025.3576385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2025.3576385","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-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/A5025168071","display_name":"David J. Lin","orcid":"https://orcid.org/0000-0002-9369-2362"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David J. Lin","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":"https://orcid.org/0000-0002-9369-2362","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090216249","display_name":"Mohammad Nikbakht","orcid":"https://orcid.org/0000-0002-5124-684X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad Nikbakht","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":"https://orcid.org/0000-0002-5124-684X","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076927036","display_name":"Omer T. Inan","orcid":"https://orcid.org/0000-0002-7952-1794"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Omer T. Inan","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":"https://orcid.org/0000-0002-7952-1794","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.0932,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.91791208,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"29","issue":"11","first_page":"8048","last_page":"8058"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10924","display_name":"Cardiovascular Health and Disease Prevention","score":0.9672999978065491,"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/T10924","display_name":"Cardiovascular Health and Disease Prevention","score":0.9672999978065491,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6498108506202698},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6480938196182251},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.645224928855896},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5471606850624084},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5060431361198425},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.44708237051963806},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4466733932495117},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4121440052986145},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.392447829246521}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6498108506202698},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6480938196182251},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.645224928855896},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5471606850624084},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5060431361198425},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.44708237051963806},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4466733932495117},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4121440052986145},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.392447829246521},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","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":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2025.3576385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2025.3576385","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:40478705","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40478705","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":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G3855087278","display_name":null,"funder_award_id":"N000141812579","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G5174987415","display_name":null,"funder_award_id":"N000142112036","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1991111872","https://openalex.org/W2033498479","https://openalex.org/W2049494869","https://openalex.org/W2054850407","https://openalex.org/W2055260938","https://openalex.org/W2104750904","https://openalex.org/W2133483812","https://openalex.org/W2331319537","https://openalex.org/W2518038645","https://openalex.org/W2538877285","https://openalex.org/W2772327757","https://openalex.org/W2783795641","https://openalex.org/W2884877447","https://openalex.org/W3018261379","https://openalex.org/W3041614191","https://openalex.org/W3043956964","https://openalex.org/W3046997858","https://openalex.org/W3131332223","https://openalex.org/W3138036575","https://openalex.org/W3173618363","https://openalex.org/W3175951349","https://openalex.org/W4210587622","https://openalex.org/W4211127940","https://openalex.org/W4317541737","https://openalex.org/W4375929060","https://openalex.org/W4380355747","https://openalex.org/W4380434618","https://openalex.org/W4387542688","https://openalex.org/W4387886128","https://openalex.org/W4389250015","https://openalex.org/W4391974619","https://openalex.org/W4394994620","https://openalex.org/W4400903257"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4391584540","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4395044357","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W2087346071","https://openalex.org/W2967848559"],"abstract_inverted_index":{"Noninvasive":[0],"monitoring":[1,80],"of":[2,15,36,136,186,195],"hemodynamic":[3,64,266],"parameters":[4],"is":[5,69,88,163],"essential":[6],"for":[7,263],"assessing":[8],"cardiovascular":[9,37],"function":[10],"to":[11,61,71,91,123,140,152,252],"enable":[12],"early":[13],"identification":[14],"high-risk":[16,272],"individuals":[17],"and":[18,103,177,198,210,218,268],"help":[19],"prevent":[20],"injuries.":[21],"However,":[22,66],"current":[23],"wearable":[24,256],"solutions":[25],"that":[26],"use":[27],"the":[28,67,92,134,241,250],"electrocardiogram":[29],"or":[30,84],"photoplethysmogram":[31],"offer":[32],"a":[33,47,117,142,150,166,174,183],"limited":[34],"view":[35],"health,":[38],"particularly":[39],"in":[40,53,76,85,105,129,236,271],"capturing":[41],"cardiomechanical":[42,48],"function.":[43],"The":[44],"seismocardiogram":[45],"(SCG),":[46],"signal,":[49],"has":[50],"shown":[51,60],"promise":[52],"filling":[54],"this":[55,113,248],"gap":[56],"with":[57],"features":[58],"previously":[59],"reflect":[62],"key":[63],"parameters.":[65],"SCG":[68,127,138,155,204,260],"susceptible":[70],"motion-artifacts,":[72],"limiting":[73],"its":[74],"effectiveness":[75],"real-world":[77],"settings":[78],"where":[79],"during":[81],"physical":[82],"activities":[83],"hot":[86],"environments":[87],"crucial":[89],"due":[90],"increased":[93],"injury":[94],"risk.":[95],"In":[96,112],"these":[97],"environments,":[98],"motion":[99],"artifacts":[100],"are":[101],"variable":[102],"high":[104,125],"magnitude":[106],"necessitating":[107],"effective":[108,228],"motion-artifact":[109],"reduction":[110],"algorithms.":[111],"work,":[114],"we":[115,226],"propose":[116],"score-based":[118],"generative":[119],"diffusion":[120],"model":[121],"framework":[122],"obtain":[124],"quality":[126,162],"signals":[128,156],"daily-life":[130],"environments.":[131],"We":[132,190],"leverage":[133],"periodicity":[135],"clean":[137],"beats":[139],"learn":[141],"probability":[143],"space,":[144],"which":[145],"can":[146],"be":[147,253],"used":[148],"as":[149,247],"prior":[151,223],"generate":[153],"motion-free":[154],"from":[157,222],"corrupted":[158],"observations.":[159],"Furthermore,":[160,225],"generation":[161],"enhanced":[164],"through":[165,178],"multi-generation":[167],"averaging":[168],"approach.":[169],"Performance":[170],"was":[171],"analyzed":[172],"on":[173,201,231],"waveform":[175],"level":[176],"feature":[179],"extraction":[180],"accuracy":[181],"using":[182],"healthy":[184],"dataset":[185,234],"participants":[187],"undergoing":[188],"exercises.":[189],"achieved":[191],"mean":[192],"absolute":[193],"errors":[194],"3.74":[196],"ms":[197,200],"7.67":[199],"two":[202],"extracted":[203],"features:":[205],"aortic":[206],"valve":[207],"opening":[208],"(AO)":[209],"closing":[211],"(AC),":[212],"respectively,":[213],"outperforming":[214],"other":[215],"signal":[216,261],"processing":[217],"deep":[219],"learning":[220],"approaches":[221],"work.":[224],"demonstrated":[227],"denoising":[229],"capabilities":[230],"an":[232],"unseen":[233],"collected":[235],"daily":[237],"life":[238],"settings,":[239],"demonstrating":[240],"model's":[242],"generalizability.":[243],"Denoising":[244],"systems":[245],"such":[246],"have":[249],"potential":[251],"integrated":[254],"into":[255],"systems,":[257],"enabling":[258],"reliable":[259],"acquisition":[262],"more":[264],"accurate":[265],"indices":[267],"reducing":[269],"injuries":[270],"individuals.":[273]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
