{"id":"https://openalex.org/W4414155397","doi":"https://doi.org/10.1109/jiot.2025.3609250","title":"Wearable Ear-Centric Physiological Sensing With On-Edge Physics-Informed Neural Networks for Negative Mental State Detection","display_name":"Wearable Ear-Centric Physiological Sensing With On-Edge Physics-Informed Neural Networks for Negative Mental State Detection","publication_year":2025,"publication_date":"2025-09-11","ids":{"openalex":"https://openalex.org/W4414155397","doi":"https://doi.org/10.1109/jiot.2025.3609250"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2025.3609250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3609250","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-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/A5003335735","display_name":"Ngoc-Dau Mai","orcid":"https://orcid.org/0009-0005-7027-1505"},"institutions":[{"id":"https://openalex.org/I8991828","display_name":"Pukyong National University","ror":"https://ror.org/0433kqc49","country_code":"KR","type":"education","lineage":["https://openalex.org/I8991828"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Ngoc-Dau Mai","raw_affiliation_strings":["Department of AI Convergence, Pukyong National University, Busan, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0005-7027-1505","affiliations":[{"raw_affiliation_string":"Department of AI Convergence, Pukyong National University, Busan, Republic of Korea","institution_ids":["https://openalex.org/I8991828"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072479272","display_name":"Yudi April Nando","orcid":"https://orcid.org/0009-0002-2566-2900"},"institutions":[{"id":"https://openalex.org/I8991828","display_name":"Pukyong National University","ror":"https://ror.org/0433kqc49","country_code":"KR","type":"education","lineage":["https://openalex.org/I8991828"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yudi April Nando","raw_affiliation_strings":["Department of AI Convergence, Pukyong National University, Busan, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0002-2566-2900","affiliations":[{"raw_affiliation_string":"Department of AI Convergence, Pukyong National University, Busan, Republic of Korea","institution_ids":["https://openalex.org/I8991828"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079773768","display_name":"Wan\u2010Young Chung","orcid":"https://orcid.org/0000-0002-0121-855X"},"institutions":[{"id":"https://openalex.org/I8991828","display_name":"Pukyong National University","ror":"https://ror.org/0433kqc49","country_code":"KR","type":"education","lineage":["https://openalex.org/I8991828"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wan-Young Chung","raw_affiliation_strings":["Department of AI Convergence, Pukyong National University, Busan, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-0121-855X","affiliations":[{"raw_affiliation_string":"Department of AI Convergence, Pukyong National University, Busan, Republic of Korea","institution_ids":["https://openalex.org/I8991828"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003335735"],"corresponding_institution_ids":["https://openalex.org/I8991828"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.36519492,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"22","first_page":"48866","last_page":"48881"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.7968999743461609,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.7968999743461609,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.7002999782562256,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.6406000256538391,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.7627999782562256},{"id":"https://openalex.org/keywords/biosignal","display_name":"Biosignal","score":0.6858000159263611},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5615000128746033},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.4417000114917755},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4374000132083893},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.40959998965263367},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4023999869823456},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.38119998574256897},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.373199999332428}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7861999869346619},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.7627999782562256},{"id":"https://openalex.org/C2779055241","wikidata":"https://www.wikidata.org/wiki/Q644240","display_name":"Biosignal","level":3,"score":0.6858000159263611},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5615000128746033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5022000074386597},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.4417000114917755},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4374000132083893},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.40959998965263367},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4023999869823456},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.38119998574256897},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.373199999332428},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3447999954223633},{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.3416000008583069},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.33809998631477356},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3337000012397766},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.3319000005722046},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.32089999318122864},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.3149000108242035},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3046000003814697},{"id":"https://openalex.org/C134362201","wikidata":"https://www.wikidata.org/wiki/Q317309","display_name":"Mental health","level":2,"score":0.30250000953674316},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.29829999804496765},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.2939999997615814},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2912999987602234},{"id":"https://openalex.org/C2779429828","wikidata":"https://www.wikidata.org/wiki/Q3968640","display_name":"Mental state","level":2,"score":0.27619999647140503},{"id":"https://openalex.org/C176563091","wikidata":"https://www.wikidata.org/wiki/Q669238","display_name":"Intelligent sensor","level":3,"score":0.2761000096797943},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.2671999931335449},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25699999928474426},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.2551000118255615}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3609250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3609250","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6940887418","display_name":null,"funder_award_id":"2024 BK21","funder_id":"https://openalex.org/F4320321375","funder_display_name":"Pukyong National University"}],"funders":[{"id":"https://openalex.org/F4320321375","display_name":"Pukyong National University","ror":"https://ror.org/0433kqc49"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W983370127","https://openalex.org/W1689711448","https://openalex.org/W1988320258","https://openalex.org/W2045493030","https://openalex.org/W2058185683","https://openalex.org/W2066021456","https://openalex.org/W2066210406","https://openalex.org/W2088202114","https://openalex.org/W2136024608","https://openalex.org/W2156018953","https://openalex.org/W2408915913","https://openalex.org/W2592075940","https://openalex.org/W2790139232","https://openalex.org/W2790404832","https://openalex.org/W2793553407","https://openalex.org/W2897577993","https://openalex.org/W2907114814","https://openalex.org/W2914237854","https://openalex.org/W2917094047","https://openalex.org/W2945616044","https://openalex.org/W2958197594","https://openalex.org/W2962858109","https://openalex.org/W2963122961","https://openalex.org/W2970280365","https://openalex.org/W3009148912","https://openalex.org/W3011425517","https://openalex.org/W3112713116","https://openalex.org/W3119740068","https://openalex.org/W3160428113","https://openalex.org/W3168997536","https://openalex.org/W3174527364","https://openalex.org/W3205943564","https://openalex.org/W3212715905","https://openalex.org/W4210672933","https://openalex.org/W4220822781","https://openalex.org/W4225411558","https://openalex.org/W4285194768","https://openalex.org/W4285219574","https://openalex.org/W4285244280","https://openalex.org/W4286211743","https://openalex.org/W4286377432","https://openalex.org/W4288054297","https://openalex.org/W4322731021","https://openalex.org/W4385245566","https://openalex.org/W4385912614","https://openalex.org/W4386320525","https://openalex.org/W4387448725","https://openalex.org/W4390738850","https://openalex.org/W4391824896","https://openalex.org/W4391974597","https://openalex.org/W4392251874","https://openalex.org/W4392309335","https://openalex.org/W4395680573","https://openalex.org/W4403674694","https://openalex.org/W4405489188","https://openalex.org/W4406208660","https://openalex.org/W4408145568","https://openalex.org/W4409640601","https://openalex.org/W4411055023"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W2012157391","https://openalex.org/W2585232498","https://openalex.org/W2562087406","https://openalex.org/W2122277836"],"abstract_inverted_index":{"Monitoring":[0],"mental":[1,43,169,214,224],"states":[2,120],"is":[3,149],"essential":[4],"for":[5,30,84,93,151,212],"understanding":[6],"physiological":[7],"and":[8,16,25,62,111,156,182,193,204,222],"neurological":[9],"health,":[10],"offering":[11,207],"insights":[12],"that":[13],"enhance":[14],"diagnostics":[15],"therapy.":[17],"However,":[18],"current":[19],"systems":[20],"are":[21],"often":[22],"bulky,":[23],"immobile,":[24],"reliant":[26],"on":[27,129],"external":[28,138],"devices":[29],"deep":[31],"learning":[32],"(DL),":[33],"limiting":[34],"real-time":[35,42,135,213],"applications.":[36],"This":[37,196],"study":[38],"introduces":[39],"a":[40,52,69,112],"compact,":[41],"state":[44,170,215],"monitoring":[45],"system":[46,157,174],"with":[47,188,217],"four":[48],"innovations.":[49],"(1)":[50],"First,":[51],"wearable":[53],"ear-centric":[54],"device":[55],"captures":[56],"multimodal":[57,201],"biosignals\u2014behind-the-ear":[58],"(BTE)":[59],"electroencephalography":[60],"(EEG)":[61],"in-ear":[63],"photoplethysmography":[64],"(PPG)\u2014enhancing":[65],"portability.":[66],"(2)":[67],"Second,":[68],"high-resolution":[70],"superlet":[71],"transform":[72],"(HRST)":[73],"converts":[74],"these":[75],"signals":[76],"into":[77],"spectrogram":[78],"images":[79],"to":[80,117,126],"enrich":[81],"input":[82],"features":[83],"DL":[85],"models.":[86],"(3)":[87],"Third,":[88],"the":[89,130],"PhysAttenConvLSTM":[90],"model,":[91],"designed":[92],"edge":[94,131,199],"deployment":[95],"using":[96],"Tiny":[97],"Machine":[98],"Learning":[99],"(TinyML),":[100],"integrates":[101],"convolutional":[102],"neural":[103],"networks":[104],"(CNNs),":[105],"long":[106],"short-term":[107],"memory":[108],"(LSTM),":[109],"self-attention,":[110],"physics-informed":[113],"merge":[114],"layer":[115],"(FIML)":[116],"classify":[118],"affective":[119,220],"efficiently.":[121],"All":[122],"processes\u2014from":[123],"signal":[124],"acquisition":[125],"classification\u2014occur":[127],"directly":[128],"device,":[132],"enabling":[133],"low-latency,":[134],"operation":[136],"without":[137],"computation.":[139],"(4)":[140],"Fourth,":[141],"an":[142,208],"Internet":[143],"of":[144],"Medical":[145],"Things":[146],"(IoMT)":[147],"framework":[148],"implemented":[150],"data":[152,160],"storage,":[153],"remote":[154],"access,":[155],"management.":[158],"Multimodal":[159],"were":[161],"collected":[162],"from":[163],"25":[164],"participants":[165],"during":[166],"social":[167],"media-based":[168],"induction":[171],"tasks.":[172],"The":[173],"achieved":[175],"92.07%":[176],"accuracy":[177],"in":[178,184,219],"leave-one-out":[179],"cross-validation":[180,186],"(LOOCV)":[181],"95.05%":[183],"10-fold":[185],"(CV),":[187],"strong":[189],"specificity,":[190],"sensitivity,":[191],"precision,":[192],"F1":[194],"scores.":[195],"research":[197],"advances":[198],"DL,":[200],"biosignal":[202],"fusion,":[203],"IoMT":[205],"integration,":[206],"ultra-portable,":[209],"energy-efficient":[210],"solution":[211],"monitoring,":[216],"potential":[218],"computing":[221],"personalized":[223],"health":[225],"care.":[226]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
