{"id":"https://openalex.org/W3090795187","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206731","title":"Multivariate Models for Decoding Hearing Impairment using EEG Gamma-Band Power Spectral Density","display_name":"Multivariate Models for Decoding Hearing Impairment using EEG Gamma-Band Power Spectral Density","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3090795187","doi":"https://doi.org/10.1109/ijcnn48605.2020.9206731","mag":"3090795187"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9206731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","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/A5050228297","display_name":"Md Sultan Mahmud","orcid":"https://orcid.org/0000-0002-7361-122X"},"institutions":[{"id":"https://openalex.org/I94658018","display_name":"University of Memphis","ror":"https://ror.org/01cq23130","country_code":"US","type":"education","lineage":["https://openalex.org/I94658018"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Md Sultan Mahmud","raw_affiliation_strings":["University of Memphis,Department of Electrical and Computer Engineering,TN,USA","Department of Electrical and Computer Engineering, University of Memphis, TN, USA"],"affiliations":[{"raw_affiliation_string":"University of Memphis,Department of Electrical and Computer Engineering,TN,USA","institution_ids":["https://openalex.org/I94658018"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Memphis, TN, USA","institution_ids":["https://openalex.org/I94658018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010638733","display_name":"Faruk Ahmed","orcid":"https://orcid.org/0000-0002-5005-4918"},"institutions":[{"id":"https://openalex.org/I94658018","display_name":"University of Memphis","ror":"https://ror.org/01cq23130","country_code":"US","type":"education","lineage":["https://openalex.org/I94658018"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Faruk Ahmed","raw_affiliation_strings":["University of Memphis,Department of Electrical and Computer Engineering,TN,USA","Department of Electrical and Computer Engineering, University of Memphis, TN, USA"],"affiliations":[{"raw_affiliation_string":"University of Memphis,Department of Electrical and Computer Engineering,TN,USA","institution_ids":["https://openalex.org/I94658018"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Memphis, TN, USA","institution_ids":["https://openalex.org/I94658018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069645522","display_name":"Mohammed Yeasin","orcid":"https://orcid.org/0000-0003-0579-3030"},"institutions":[{"id":"https://openalex.org/I94658018","display_name":"University of Memphis","ror":"https://ror.org/01cq23130","country_code":"US","type":"education","lineage":["https://openalex.org/I94658018"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammed Yeasin","raw_affiliation_strings":["University of Memphis,Department of Electrical and Computer Engineering,TN,USA","Department of Electrical and Computer Engineering, University of Memphis, TN, USA"],"affiliations":[{"raw_affiliation_string":"University of Memphis,Department of Electrical and Computer Engineering,TN,USA","institution_ids":["https://openalex.org/I94658018"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Memphis, TN, USA","institution_ids":["https://openalex.org/I94658018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022961264","display_name":"Claude Alain","orcid":"https://orcid.org/0000-0003-4459-1538"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]},{"id":"https://openalex.org/I2802437833","display_name":"Baycrest Hospital","ror":"https://ror.org/03gp5b411","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I2802437833"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Claude Alain","raw_affiliation_strings":["Rotman Research Institute-Baycrest Centre for Geriatric Care,Toronto,Canada","Institute of Medical Sciences, University of Toronto, Toronto, Canada","Department of Psychology, University of Toronto, Toronto, Canada","Rotman Research Institute-Baycrest Centre for Geriatric Care, Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"Rotman Research Institute-Baycrest Centre for Geriatric Care,Toronto,Canada","institution_ids":["https://openalex.org/I2802437833"]},{"raw_affiliation_string":"Institute of Medical Sciences, University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"Department of Psychology, University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]},{"raw_affiliation_string":"Rotman Research Institute-Baycrest Centre for Geriatric Care, Toronto, Canada","institution_ids":["https://openalex.org/I2802437833"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060159670","display_name":"Gavin M. Bidelman","orcid":"https://orcid.org/0000-0002-1821-3261"},"institutions":[{"id":"https://openalex.org/I160606119","display_name":"University of Tennessee Health Science Center","ror":"https://ror.org/0011qv509","country_code":"US","type":"education","lineage":["https://openalex.org/I160606119"]},{"id":"https://openalex.org/I94658018","display_name":"University of Memphis","ror":"https://ror.org/01cq23130","country_code":"US","type":"education","lineage":["https://openalex.org/I94658018"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gavin M. Bidelman","raw_affiliation_strings":["University of Memphis,School of Communication Sciences &#x0026; Disorders,Memphis,TN,USA","Department of Anatomy and Neurobiology, University of Tennessee Health Sciences Center, Memphis, TN, USA","Institute for Intelligent Systems, University of Memphis, Memphis, TN, USA"],"affiliations":[{"raw_affiliation_string":"University of Memphis,School of Communication Sciences &#x0026; Disorders,Memphis,TN,USA","institution_ids":["https://openalex.org/I94658018"]},{"raw_affiliation_string":"Department of Anatomy and Neurobiology, University of Tennessee Health Sciences Center, Memphis, TN, USA","institution_ids":["https://openalex.org/I160606119"]},{"raw_affiliation_string":"Institute for Intelligent Systems, University of Memphis, Memphis, TN, USA","institution_ids":["https://openalex.org/I94658018"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5050228297"],"corresponding_institution_ids":["https://openalex.org/I94658018"],"apc_list":null,"apc_paid":null,"fwci":1.2526,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.78569904,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.9988999962806702,"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/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.9988999962806702,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9984999895095825,"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/T11692","display_name":"Noise Effects and Management","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/3616","display_name":"Speech and Hearing"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.698098361492157},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.544043779373169},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5153462290763855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4693378508090973},{"id":"https://openalex.org/keywords/audiology","display_name":"Audiology","score":0.4511430263519287},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.448726087808609},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.4225374460220337},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40310579538345337},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.36651137471199036},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3345333933830261},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17854806780815125},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15281423926353455}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.698098361492157},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.544043779373169},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5153462290763855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4693378508090973},{"id":"https://openalex.org/C548259974","wikidata":"https://www.wikidata.org/wiki/Q569965","display_name":"Audiology","level":1,"score":0.4511430263519287},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.448726087808609},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.4225374460220337},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40310579538345337},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.36651137471199036},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3345333933830261},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17854806780815125},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15281423926353455},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9206731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9206731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1566689562","https://openalex.org/W1639178551","https://openalex.org/W1651586605","https://openalex.org/W1680137270","https://openalex.org/W1966716734","https://openalex.org/W1969647331","https://openalex.org/W1972214813","https://openalex.org/W1977428416","https://openalex.org/W1996679054","https://openalex.org/W2001428189","https://openalex.org/W2001493343","https://openalex.org/W2003432832","https://openalex.org/W2014502281","https://openalex.org/W2048665270","https://openalex.org/W2064059030","https://openalex.org/W2069326087","https://openalex.org/W2077746856","https://openalex.org/W2078735759","https://openalex.org/W2084668217","https://openalex.org/W2098082628","https://openalex.org/W2101135654","https://openalex.org/W2109943925","https://openalex.org/W2111604303","https://openalex.org/W2115138059","https://openalex.org/W2121393149","https://openalex.org/W2122522567","https://openalex.org/W2123719421","https://openalex.org/W2136656942","https://openalex.org/W2139564752","https://openalex.org/W2141393212","https://openalex.org/W2166624857","https://openalex.org/W2170077112","https://openalex.org/W2171781500","https://openalex.org/W2334036120","https://openalex.org/W2626395940","https://openalex.org/W2751884637","https://openalex.org/W2776146695","https://openalex.org/W2792828508","https://openalex.org/W2916774960","https://openalex.org/W2918390772","https://openalex.org/W2920508614","https://openalex.org/W2963215058","https://openalex.org/W2970376271","https://openalex.org/W2975203121","https://openalex.org/W3095034994","https://openalex.org/W4242949542","https://openalex.org/W4296886862","https://openalex.org/W6759653430","https://openalex.org/W6759887468","https://openalex.org/W6767943381"],"related_works":["https://openalex.org/W4385649027","https://openalex.org/W4400094315","https://openalex.org/W2090763504","https://openalex.org/W2970784617","https://openalex.org/W2126639667","https://openalex.org/W2217963778","https://openalex.org/W2474554762","https://openalex.org/W148178222","https://openalex.org/W2129882004","https://openalex.org/W4303685026"],"abstract_inverted_index":{"Speech-in-noise":[0],"(SIN)":[1],"comprehension":[2],"decreases":[3],"with":[4,152,174,211],"age,":[5],"and":[6,16,70,73,120,134,164,188,235,256],"these":[7],"declines":[8],"have":[9],"been":[10],"related":[11],"to":[12,27,105,129,205,232,244,253,260],"social":[13],"isolation,":[14],"depression,":[15],"dementia":[17],"in":[18,59,216,239],"the":[19,29,39,91,93,96,110,117,184,195,212,226],"elderly.":[20],"In":[21],"this":[22],"work,":[23],"we":[24],"build":[25],"models":[26,61],"distinguish":[28],"normal":[30],"hearing":[31,35],"(NH)":[32],"or":[33,81],"mild":[34],"impairment":[36],"(HI)":[37],"using":[38,62,178,183],"different":[40],"genres":[41],"of":[42,53,156,172,202,214,225,241],"machine":[43,65],"learning.":[44],"We":[45],"compute":[46],"band":[47,140,149],"wise":[48],"power":[49],"spectral":[50,223],"density":[51],"(PSD)":[52],"source-":[54],"derived":[55],"EEGs":[56],"as":[57],"features":[58,88,224],"building":[60],"support":[63],"vector":[64],"(SVM),":[66],"k-nearest":[67],"neighbors":[68],"(KNN),":[69],"AdaBoost":[71],"classifiers":[72],"compare":[74],"their":[75,242],"performance":[76],"while":[77],"listeners":[78],"perceived":[79,116],"clear":[80,118,161],"noise-degraded":[82,165],"sounds.":[83,247],"Combining":[84],"all":[85],"frequency":[86,139,148,228],"bands":[87],"obtained":[89],"from":[90],"whole-brain,":[92],"SVM":[94],"registered":[95],"best":[97,154],"performance.":[98],"The":[99],"group":[100],"classification":[101],"accuracy":[102,126,155,171],"was":[103,127],"found":[104,128],"be":[106,130,230,251],"94.90%":[107],"[area":[108],"under":[109],"curve":[111],"(AUC)":[112],"94.75%;":[113],"F1-score":[114,135],"95.00%]":[115],"speech,":[119],"for":[121,160],"noise-":[122],"degraded":[123],"speech":[124,162,166,246],"perception,":[125],"92.52%":[131],"(AUC":[132],"91.12%,":[133],"93.00%).":[136],"Remarkably,":[137],"individual":[138],"analysis":[141,182],"on":[142],"whole-brain":[143],"data":[144,163,167,192],"showed":[145,193],"that":[146,194,222],"\u03b3":[147],"segregated":[150],"groups":[151,203],"a":[153,199,262],"96.78%,":[157],"AUC":[158,175],"96.79%":[159],"yielded":[168],"slightly":[169],"less":[170],"93.62%":[173],"93.17%":[176],"by":[177],"SVM.":[179],"A":[180],"separate":[181],"left":[185],"hemisphere":[186,190],"(LH)":[187],"right":[189],"(RH)":[191],"LH":[196,215],"activity":[197],"is":[198],"better":[200],"predictor":[201],"compared":[204],"RH.":[206],"These":[207,248],"results":[208,220],"are":[209],"consistent":[210],"dominance":[213],"auditory-linguistic":[217],"processing.":[218],"Our":[219],"demonstrate":[221],"\u03b3-band":[227],"could":[229],"used":[231],"differentiate":[233],"NH":[234],"HI":[236],"older":[237],"adults":[238],"terms":[240],"ability":[243],"process":[245],"findings":[249],"would":[250],"useful":[252],"model":[254],"attentional":[255],"listening":[257],"assistive":[258],"devices":[259],"amplify":[261],"more":[263],"specific":[264],"pitch":[265],"than":[266],"others.":[267]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-01T17:29:45.350535","created_date":"2025-10-10T00:00:00"}
