{"id":"https://openalex.org/W2980073738","doi":"https://doi.org/10.1109/embc.2019.8857498","title":"Reckoning respiratory signals to affectively decipher mental state","display_name":"Reckoning respiratory signals to affectively decipher mental state","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2980073738","doi":"https://doi.org/10.1109/embc.2019.8857498","mag":"2980073738","pmid":"https://pubmed.ncbi.nlm.nih.gov/31946901"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2019.8857498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2019.8857498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-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/A5101862851","display_name":"Tanushree Banerjee","orcid":"https://orcid.org/0000-0002-2736-5654"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tanushree Banerjee","raw_affiliation_strings":["TCS Research and Innovation, Kolkata, West Bengal, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Research and Innovation, Kolkata, West Bengal, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069088629","display_name":"Anwesha Khasnobish","orcid":"https://orcid.org/0000-0002-3274-7673"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anwesha Khasnobish","raw_affiliation_strings":["TCS Research and Innovation, Kolkata, West Bengal, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Research and Innovation, Kolkata, West Bengal, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101841169","display_name":"Arijit Chowdhury","orcid":"https://orcid.org/0000-0003-3400-2007"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arijit Chowdhury","raw_affiliation_strings":["TCS Research and Innovation, Kolkata, West Bengal, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Research and Innovation, Kolkata, West Bengal, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059718781","display_name":"Debatri Chatterjee","orcid":"https://orcid.org/0000-0003-1047-9644"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Debatri Chatterjee","raw_affiliation_strings":["TCS Research and Innovation, Kolkata, West Bengal, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Research and Innovation, Kolkata, West Bengal, India","institution_ids":["https://openalex.org/I55215948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I55215948"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.13676077,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"2019","issue":null,"first_page":"4654","last_page":"4659"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9991999864578247,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9983999729156494,"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":0.9930999875068665,"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":0.6957783102989197},{"id":"https://openalex.org/keywords/decipher","display_name":"DECIPHER","score":0.6804262399673462},{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.6716880798339844},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6658428907394409},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.630990743637085},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5516499280929565},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4833676218986511},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.46191170811653137},{"id":"https://openalex.org/keywords/mental-state","display_name":"Mental state","score":0.43333059549331665},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41783255338668823},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4130435585975647},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.29178154468536377},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.18770360946655273},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14648598432540894},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.10228785872459412},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.06967547535896301}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6957783102989197},{"id":"https://openalex.org/C164614171","wikidata":"https://www.wikidata.org/wiki/Q5204775","display_name":"DECIPHER","level":2,"score":0.6804262399673462},{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.6716880798339844},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6658428907394409},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.630990743637085},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5516499280929565},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4833676218986511},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.46191170811653137},{"id":"https://openalex.org/C2779429828","wikidata":"https://www.wikidata.org/wiki/Q3968640","display_name":"Mental state","level":2,"score":0.43333059549331665},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41783255338668823},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4130435585975647},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.29178154468536377},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.18770360946655273},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14648598432540894},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.10228785872459412},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.06967547535896301},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000073216","descriptor_name":"Mental Status and Dementia Tests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000073216","descriptor_name":"Mental Status and Dementia Tests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000073216","descriptor_name":"Mental Status and Dementia Tests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"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":"D012119","descriptor_name":"Respiration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012119","descriptor_name":"Respiration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012119","descriptor_name":"Respiration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062207","descriptor_name":"Brain-Computer Interfaces","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062207","descriptor_name":"Brain-Computer Interfaces","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062207","descriptor_name":"Brain-Computer Interfaces","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2019.8857498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2019.8857498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:31946901","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31946901","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W190437827","https://openalex.org/W273955616","https://openalex.org/W321486980","https://openalex.org/W1507317742","https://openalex.org/W1545302199","https://openalex.org/W1575201818","https://openalex.org/W1583700199","https://openalex.org/W1588233835","https://openalex.org/W1855259589","https://openalex.org/W1873332500","https://openalex.org/W1964326272","https://openalex.org/W1980128087","https://openalex.org/W1981648298","https://openalex.org/W2000503364","https://openalex.org/W2032512569","https://openalex.org/W2034610220","https://openalex.org/W2073749171","https://openalex.org/W2077869260","https://openalex.org/W2087347434","https://openalex.org/W2121570917","https://openalex.org/W2121682721","https://openalex.org/W2124106073","https://openalex.org/W2125055259","https://openalex.org/W2131213359","https://openalex.org/W2134522855","https://openalex.org/W2138523272","https://openalex.org/W2148143831","https://openalex.org/W2167557160","https://openalex.org/W2171801645","https://openalex.org/W2313602734","https://openalex.org/W2438173235","https://openalex.org/W2536127515","https://openalex.org/W2745346281","https://openalex.org/W2765280914","https://openalex.org/W2834248954","https://openalex.org/W2899009493","https://openalex.org/W3020978940","https://openalex.org/W3104042626","https://openalex.org/W6607693206","https://openalex.org/W6610017368","https://openalex.org/W6639175750","https://openalex.org/W6678364779","https://openalex.org/W6680688232"],"related_works":["https://openalex.org/W2076543106","https://openalex.org/W2523437662","https://openalex.org/W89844371","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W4286643620","https://openalex.org/W4387048144","https://openalex.org/W2492135063","https://openalex.org/W2362514456","https://openalex.org/W2136232598"],"abstract_inverted_index":{"Recognizing":[0],"mental":[1,43,66],"states":[2],"from":[3],"physiological":[4,58],"signal":[5,79],"is":[6,50,80,94,101,176],"a":[7],"concern":[8],"not":[9,119],"only":[10,120],"for":[11,16,52],"medical":[12],"diagnostics,":[13],"but":[14,125],"also":[15,126],"cognitive":[17],"science,":[18],"behavioral":[19],"studies":[20],"as":[21,23],"well":[22],"brain":[24],"machine":[25],"interfaces.":[26],"This":[27],"study":[28],"employs":[29],"an":[30],"unique":[31],"approach":[32,175],"of":[33,97,111,167],"solely":[34],"utilizing":[35],"the":[36,56,73,78,84,95,122,128,132,140],"respiration":[37],"signals":[38,59],"in":[39,77,87,136],"order":[40],"to":[41,71,82,114,178,182],"decipher":[42],"states.":[44,67],"A":[45],"public":[46],"dataset,":[47],"Affective":[48],"Pacman,":[49],"considered":[51],"this":[53],"study,":[54],"where":[55],"various":[57],"are":[60],"acquired":[61],"during":[62],"normal":[63],"and":[64,162,170],"frustrated":[65],"An":[68],"efficient":[69],"way":[70],"remove":[72],"non-linear":[74],"baseline":[75],"drifts":[76],"implemented":[81],"extract":[83],"respiratory":[85],"features":[86],"most":[88],"effective":[89],"way.":[90],"Another":[91],"major":[92],"adversity":[93],"presence":[96],"class":[98,116],"imbalance,":[99],"which":[100,135],"effectively":[102],"rectified":[103],"using":[104],"Synthetic":[105],"Minority":[106],"Oversampling":[107],"TEchnique":[108],"(SMOTE).":[109],"Application":[110],"SMOTE":[112,150],"algorithm":[113],"resolve":[115],"imbalance":[117],"problem,":[118],"increased":[121],"classification":[123,155],"accuracy,":[124],"reduced":[127],"classifier":[129,141,146],"bias":[130],"towards":[131],"majority":[133],"class,":[134],"turn":[137],"exceedingly":[138],"enhanced":[139],"sensitivity.":[142],"The":[143,173],"multilayer":[144],"perceptron":[145],"performed":[147],"best":[148],"with":[149,154],"generated":[151],"feature":[152],"set,":[153],"accuracy":[156],"(CA),":[157],"true":[158,163],"positive":[159],"rate":[160,165],"(TPR)":[161],"negative":[164],"(TNR)":[166],"97.9%,":[168],"92.6%":[169],"99.3%":[171],"respectively.":[172],"current":[174],"found":[177],"perform":[179],"better":[180],"compared":[181],"relevant":[183],"literature.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
