{"id":"https://openalex.org/W7127996235","doi":"https://doi.org/10.48550/arxiv.2602.03858","title":"PENGUIN: General Vital Sign Reconstruction from PPG with Flow Matching State Space Model","display_name":"PENGUIN: General Vital Sign Reconstruction from PPG with Flow Matching State Space Model","publication_year":2026,"publication_date":"2026-01-23","ids":{"openalex":"https://openalex.org/W7127996235","doi":"https://doi.org/10.48550/arxiv.2602.03858"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.03858","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125242179","display_name":"Shuntaro Suzuki","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Suzuki, Shuntaro","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125229814","display_name":"Shuitsu Koyama","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Koyama, Shuitsu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100974031","display_name":"S. Hirano","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hirano, Shinnosuke","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5023168087","display_name":"Shunya Nagashima","orcid":"https://orcid.org/0009-0007-9741-7628"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nagashima, Shunya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0980384,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9699000120162964,"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":0.9699000120162964,"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/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.0052999998442828655,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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":0.0052999998442828655,"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/photoplethysmogram","display_name":"Photoplethysmogram","score":0.7519000172615051},{"id":"https://openalex.org/keywords/vital-signs","display_name":"Vital signs","score":0.6075000166893005},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.5566999912261963},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.5436999797821045},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.43459999561309814},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.37929999828338623},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37929999828338623},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.37389999628067017}],"concepts":[{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.7519000172615051},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6488999724388123},{"id":"https://openalex.org/C2776890885","wikidata":"https://www.wikidata.org/wiki/Q1067560","display_name":"Vital signs","level":2,"score":0.6075000166893005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5800999999046326},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.5566999912261963},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.5436999797821045},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.43459999561309814},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40049999952316284},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.37929999828338623},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37929999828338623},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.37389999628067017},{"id":"https://openalex.org/C13852961","wikidata":"https://www.wikidata.org/wiki/Q17021880","display_name":"Heartbeat","level":2,"score":0.35010001063346863},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.3456999957561493},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.33340001106262207},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.3221000134944916},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.31709998846054077},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.3027999997138977},{"id":"https://openalex.org/C177454536","wikidata":"https://www.wikidata.org/wiki/Q578290","display_name":"Emphasis (telecommunications)","level":2,"score":0.29899999499320984},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2757999897003174},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.27379998564720154},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.273499995470047},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.25769999623298645}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.03858","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.03858","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.03858","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.03858","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","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":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.46145370602607727}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Photoplethysmography":[0],"(PPG)":[1],"plays":[2],"a":[3,12,47,84,141],"crucial":[4],"role":[5],"in":[6],"continuous":[7,105],"cardiovascular":[8],"health":[9],"monitoring":[10],"as":[11,34,104,140],"non-invasive":[13],"and":[14,25,126,135],"cost-effective":[15],"modality.":[16],"However,":[17],"PPG":[18,56,98,113],"signals":[19],"are":[20,43],"susceptible":[21],"to":[22,46],"motion":[23],"artifacts":[24],"noise,":[26],"making":[27],"accurate":[28],"estimation":[29,41],"of":[30,74],"vital":[31,75,102,118,146],"signs":[32,103],"such":[33],"arterial":[35],"blood":[36],"pressure":[37],"(ABP)":[38],"challenging.":[39],"Existing":[40],"methods":[42],"often":[44],"restricted":[45],"single-task":[48],"or":[49],"environment,":[50],"limiting":[51],"their":[52],"generalizability":[53],"across":[54,115],"diverse":[55],"decoding":[57],"scenarios.":[58],"Moreover,":[59],"recent":[60],"general-purpose":[61,136],"approaches":[62],"typically":[63],"rely":[64],"on":[65,97],"predictions":[66],"over":[67],"multi-second":[68],"intervals,":[69],"discarding":[70],"the":[71],"morphological":[72],"characteristics":[73],"signs.":[76],"To":[77],"address":[78],"these":[79],"challenges,":[80],"we":[81],"propose":[82],"PENGUIN,":[83],"generative":[85],"flow-matching":[86],"framework":[87,143],"that":[88],"extends":[89],"deep":[90],"state":[91],"space":[92],"models,":[93],"enabling":[94],"fine-grained":[95],"conditioning":[96],"for":[99,144],"reconstructing":[100],"multiple":[101],"waveforms.":[106],"We":[107],"evaluate":[108],"PENGUIN":[109,139],"using":[110],"six":[111],"real-world":[112],"datasets":[114],"three":[116],"distinct":[117],"sign":[119,147],"reconstruction":[120,148],"tasks":[121],"(electrocardiogram":[122],"reconstruction,":[123],"respiratory":[124],"monitoring,":[125],"ABP":[127],"monitoring).":[128],"Our":[129],"method":[130],"consistently":[131],"outperformed":[132],"both":[133],"task-specific":[134],"baselines,":[137],"demonstrating":[138],"general":[142],"robust":[145],"from":[149],"PPG.":[150]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-02-07T00:00:00"}
