{"id":"https://openalex.org/W7106684179","doi":"https://doi.org/10.48550/arxiv.2511.18829","title":"Towards Characterizing Knowledge Distillation of PPG Heart Rate Estimation Models","display_name":"Towards Characterizing Knowledge Distillation of PPG Heart Rate Estimation Models","publication_year":2025,"publication_date":"2025-11-24","ids":{"openalex":"https://openalex.org/W7106684179","doi":"https://doi.org/10.48550/arxiv.2511.18829"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2511.18829","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.18829","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2511.18829","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Arora, Kanav","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arora, Kanav","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Narayanswamy, Girish","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Narayanswamy, Girish","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Patel, Shwetak","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Patel, Shwetak","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Li, Richard","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Richard","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":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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":0.9714000225067139,"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":0.9714000225067139,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.004699999932199717,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.00279999990016222,"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":0.5616999864578247},{"id":"https://openalex.org/keywords/photoplethysmogram","display_name":"Photoplethysmogram","score":0.541100025177002},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5196999907493591},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.46540001034736633},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.42800000309944153},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.388700008392334},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.37130001187324524},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.35830000042915344}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6427000164985657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5947999954223633},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5616999864578247},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5612999796867371},{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.541100025177002},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5196999907493591},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.46540001034736633},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.42800000309944153},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.388700008392334},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.37130001187324524},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.35830000042915344},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3546999990940094},{"id":"https://openalex.org/C6387636","wikidata":"https://www.wikidata.org/wiki/Q16001686","display_name":"Activity tracker","level":3,"score":0.34439998865127563},{"id":"https://openalex.org/C29794715","wikidata":"https://www.wikidata.org/wiki/Q5362345","display_name":"Smartwatch","level":3,"score":0.31610000133514404},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.2939999997615814},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.28349998593330383},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.27059999108314514},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2667999863624573}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2511.18829","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.18829","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2511.18829","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.18829","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.6867091059684753,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Heart":[0],"rate":[1,41],"estimation":[2,42],"from":[3],"photoplethysmography":[4],"(PPG)":[5],"signals":[6],"generated":[7],"by":[8],"wearable":[9,51],"devices":[10],"such":[11],"as":[12],"smartwatches":[13],"and":[14,23,61,69,99,114,133,143],"fitness":[15],"trackers":[16],"has":[17,30],"significant":[18],"implications":[19],"for":[20,83,141,146,150],"the":[21,39,87,123,128,139],"health":[22],"well-being":[24],"of":[25,97,122],"individuals.":[26],"Although":[27],"prior":[28],"work":[29],"demonstrated":[31],"deep":[32],"learning":[33],"models":[34,49,54,75,81,149],"with":[35],"strong":[36],"performance":[37],"in":[38,44],"heart":[40],"task,":[43],"order":[45],"to":[46,58,79],"deploy":[47],"these":[48,53],"on":[50,86],"devices,":[52],"must":[55],"also":[56],"adhere":[57],"strict":[59],"memory":[60],"latency":[62],"constraints.":[63],"In":[64],"this":[65],"work,":[66],"we":[67],"explore":[68],"characterize":[70],"how":[71],"large":[72],"pre-trained":[73],"PPG":[74],"may":[76],"be":[77],"distilled":[78],"smaller":[80],"appropriate":[82],"real-time":[84],"inference":[85],"edge.":[88],"We":[89,118],"evaluate":[90],"four":[91],"distillation":[92,112],"strategies":[93],"through":[94],"comprehensive":[95],"sweeps":[96],"teacher":[98],"student":[100],"model":[101,131],"capacities:":[102],"(1)":[103],"hard":[104],"distillation,":[105,108],"(2)":[106],"soft":[107],"(3)":[109],"decoupled":[110],"knowledge":[111],"(DKD),":[113],"(4)":[115],"feature":[116],"distillation.":[117],"present":[119],"a":[120],"characterization":[121],"resulting":[124],"scaling":[125],"laws":[126],"describing":[127],"relationship":[129],"between":[130],"size":[132],"performance.":[134],"This":[135],"early":[136],"investigation":[137],"lays":[138],"groundwork":[140],"practical":[142],"predictable":[144],"methods":[145],"building":[147],"edge-deployable":[148],"physiological":[151],"sensing.":[152]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-11-27T00:00:00"}
