{"id":"https://openalex.org/W7124968697","doi":"https://doi.org/10.1109/bsn66969.2025.11337760","title":"Tuning In to Nerve Activity: Audio-Inspired Features for Sympathetic State Detection","display_name":"Tuning In to Nerve Activity: Audio-Inspired Features for Sympathetic State Detection","publication_year":2025,"publication_date":"2025-11-03","ids":{"openalex":"https://openalex.org/W7124968697","doi":"https://doi.org/10.1109/bsn66969.2025.11337760"},"language":null,"primary_location":{"id":"doi:10.1109/bsn66969.2025.11337760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bsn66969.2025.11337760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 21st International Conference on Body Sensor Networks (BSN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5093400179","display_name":"Farnoush Baghestani","orcid":null},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Farnoush Baghestani","raw_affiliation_strings":["University of Connecticut,Dept. of Biomedical Engineering,Storrs,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Connecticut,Dept. of Biomedical Engineering,Storrs,USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001095306","display_name":"Yashvi Gupta","orcid":null},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yashvi Gupta","raw_affiliation_strings":["University of Connecticut,Dept. of Biomedical Engineering,Storrs,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Connecticut,Dept. of Biomedical Engineering,Storrs,USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123445380","display_name":"Imra Asif","orcid":null},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Imra Asif","raw_affiliation_strings":["University of Connecticut,Dept. of Biomedical Engineering,Storrs,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Connecticut,Dept. of Biomedical Engineering,Storrs,USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006172963","display_name":"Ji-Hye Moon","orcid":"https://orcid.org/0000-0001-5501-5953"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jihye Moon","raw_affiliation_strings":["University of Connecticut,Dept. of Biomedical Engineering,Storrs,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Connecticut,Dept. of Biomedical Engineering,Storrs,USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055124130","display_name":"Youngsun Kong","orcid":"https://orcid.org/0000-0001-5409-3888"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Youngsun Kong","raw_affiliation_strings":["University of Connecticut,Dept. of Biomedical Engineering,Storrs,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Connecticut,Dept. of Biomedical Engineering,Storrs,USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123438869","display_name":"Ki H. Chon","orcid":null},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ki H. Chon","raw_affiliation_strings":["University of Connecticut,Dept. of Biomedical Engineering,Storrs,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Connecticut,Dept. of Biomedical Engineering,Storrs,USA","institution_ids":["https://openalex.org/I140172145"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I140172145"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.68224035,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.7013000249862671,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.7013000249862671,"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":0.1429000049829483,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.07639999687671661,"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/set","display_name":"Set (abstract data type)","score":0.5515000224113464},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5389999747276306},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.48249998688697815},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.46650001406669617},{"id":"https://openalex.org/keywords/microneurography","display_name":"Microneurography","score":0.41449999809265137},{"id":"https://openalex.org/keywords/stroop-effect","display_name":"Stroop effect","score":0.34549999237060547},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3379000127315521}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5539000034332275},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5515000224113464},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5389999747276306},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4950000047683716},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.48249998688697815},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.46650001406669617},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.45260000228881836},{"id":"https://openalex.org/C2775898464","wikidata":"https://www.wikidata.org/wiki/Q3312240","display_name":"Microneurography","level":5,"score":0.41449999809265137},{"id":"https://openalex.org/C162967406","wikidata":"https://www.wikidata.org/wiki/Q384176","display_name":"Stroop effect","level":3,"score":0.34549999237060547},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3379000127315521},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.314300000667572},{"id":"https://openalex.org/C2776533406","wikidata":"https://www.wikidata.org/wiki/Q187215","display_name":"Sympathetic nervous system","level":3,"score":0.30489999055862427},{"id":"https://openalex.org/C77265313","wikidata":"https://www.wikidata.org/wiki/Q879844","display_name":"Rest (music)","level":2,"score":0.30390000343322754},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.29159998893737793},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.28859999775886536},{"id":"https://openalex.org/C2983668108","wikidata":"https://www.wikidata.org/wiki/Q280453","display_name":"Spectral analysis","level":3,"score":0.28780001401901245},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.2858999967575073},{"id":"https://openalex.org/C2777372248","wikidata":"https://www.wikidata.org/wiki/Q171064","display_name":"Autonomic nervous system","level":4,"score":0.2824000120162964},{"id":"https://openalex.org/C2984127161","wikidata":"https://www.wikidata.org/wiki/Q969316","display_name":"Neural activity","level":2,"score":0.2597000002861023}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bsn66969.2025.11337760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bsn66969.2025.11337760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 21st International Conference on Body Sensor Networks (BSN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2521102010","https://openalex.org/W2605376995","https://openalex.org/W2780809454","https://openalex.org/W2916897106","https://openalex.org/W3016911649","https://openalex.org/W3118639295","https://openalex.org/W3200781924","https://openalex.org/W3215383086","https://openalex.org/W4200059436","https://openalex.org/W4280648915","https://openalex.org/W4297478853","https://openalex.org/W4386216594","https://openalex.org/W4391424558","https://openalex.org/W4391716593","https://openalex.org/W4399709979","https://openalex.org/W4406423263","https://openalex.org/W6903465473"],"related_works":[],"abstract_inverted_index":{"We":[0],"investigate":[1],"the":[2,34,57,68],"use":[3],"of":[4,26,38,103,112],"audio-inspired":[5,92],"features":[6,31,70],"to":[7,33,64],"characterize":[8],"ECG-derived":[9],"skin":[10],"sympathetic":[11,39],"nerve":[12],"activity":[13],"(SKNA).":[14],"Building":[15],"on":[16],"concepts":[17],"from":[18,46],"audio":[19],"signal":[20],"processing,":[21],"we":[22],"designed":[23],"a":[24,98],"set":[25],"SKNA-optimized":[27],"spectral":[28],"and":[29,51,60,76,100],"energy-related":[30],"tailored":[32],"transient,":[35],"burst-like":[36],"nature":[37],"activation.":[40],"High-frequency":[41],"ECG":[42],"signals":[43],"were":[44],"recorded":[45],"20":[47],"participants":[48],"during":[49,52],"rest":[50],"cognitive":[53],"stress":[54],"induced":[55],"by":[56],"Stroop":[58],"Color":[59],"Word":[61],"Test.":[62],"Applied":[63],"this":[65],"two-phase":[66],"protocol,":[67],"proposed":[69],"captured":[71],"consistent":[72],"differences":[73],"between":[74],"baseline":[75],"stress,":[77],"achieving":[78],"robust":[79],"classification":[80],"performance":[81],"using":[82],"support":[83],"vector":[84],"machines":[85],"with":[86],"leave-one-subject-out":[87],"cross-validation.":[88],"Results":[89],"demonstrate":[90],"that":[91],"features,":[93],"when":[94],"physiologically":[95],"constrained,":[96],"provide":[97],"powerful":[99],"interpretable":[101],"representation":[102],"SKNA":[104],"dynamics,":[105],"highlighting":[106],"their":[107],"promise":[108],"for":[109],"noninvasive":[110],"assessment":[111],"autonomic":[113],"function.":[114]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2026-01-21T00:00:00"}
