{"id":"https://openalex.org/W4292862551","doi":"https://doi.org/10.1109/memea54994.2022.9856586","title":"Automatic Detection of Mental Health Status using Alpha Subband of EEG Data","display_name":"Automatic Detection of Mental Health Status using Alpha Subband of EEG Data","publication_year":2022,"publication_date":"2022-06-22","ids":{"openalex":"https://openalex.org/W4292862551","doi":"https://doi.org/10.1109/memea54994.2022.9856586"},"language":"en","primary_location":{"id":"doi:10.1109/memea54994.2022.9856586","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea54994.2022.9856586","pdf_url":null,"source":{"id":"https://openalex.org/S4363605601","display_name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","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/A5040030555","display_name":"Rakesh Ranjan","orcid":"https://orcid.org/0000-0002-0089-1734"},"institutions":[{"id":"https://openalex.org/I11793825","display_name":"National Institute of Technology Patna","ror":"https://ror.org/056wyhh33","country_code":"IN","type":"education","lineage":["https://openalex.org/I11793825","https://openalex.org/I4210152752"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Rakesh Ranjan","raw_affiliation_strings":["National Institute of Technology,Department of ECE,Patna,Bihar,India,800005"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology,Department of ECE,Patna,Bihar,India,800005","institution_ids":["https://openalex.org/I11793825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053749694","display_name":"Neeti","orcid":null},"institutions":[{"id":"https://openalex.org/I11793825","display_name":"National Institute of Technology Patna","ror":"https://ror.org/056wyhh33","country_code":"IN","type":"education","lineage":["https://openalex.org/I11793825","https://openalex.org/I4210152752"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Neeti","raw_affiliation_strings":["National Institute of Technology,Department of ECE,Patna,Bihar,India,800005"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology,Department of ECE,Patna,Bihar,India,800005","institution_ids":["https://openalex.org/I11793825"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020892815","display_name":"Bikash Chandra Sahana","orcid":"https://orcid.org/0000-0002-0369-7718"},"institutions":[{"id":"https://openalex.org/I11793825","display_name":"National Institute of Technology Patna","ror":"https://ror.org/056wyhh33","country_code":"IN","type":"education","lineage":["https://openalex.org/I11793825","https://openalex.org/I4210152752"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Bikash Chandra Sahana","raw_affiliation_strings":["National Institute of Technology,Department of ECE,Patna,Bihar,India,800005"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology,Department of ECE,Patna,Bihar,India,800005","institution_ids":["https://openalex.org/I11793825"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040030555"],"corresponding_institution_ids":["https://openalex.org/I11793825"],"apc_list":null,"apc_paid":null,"fwci":3.0078,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.93779343,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"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":1.0,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9948999881744385,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9918000102043152,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.8809726238250732},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6382330060005188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6114961504936218},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5394914746284485},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5307324528694153},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.509619951248169},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.45962822437286377},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.42026427388191223},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3980981409549713},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3308980166912079},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.188326895236969},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.10065272450447083}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.8809726238250732},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6382330060005188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6114961504936218},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5394914746284485},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5307324528694153},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.509619951248169},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.45962822437286377},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.42026427388191223},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3980981409549713},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3308980166912079},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.188326895236969},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.10065272450447083}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/memea54994.2022.9856586","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea54994.2022.9856586","pdf_url":null,"source":{"id":"https://openalex.org/S4363605601","display_name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7900000214576721,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1550861865","https://openalex.org/W1589606770","https://openalex.org/W1969946769","https://openalex.org/W1970242638","https://openalex.org/W1985487661","https://openalex.org/W1985807168","https://openalex.org/W2004301758","https://openalex.org/W2053744708","https://openalex.org/W2101640127","https://openalex.org/W2153257584","https://openalex.org/W2154690800","https://openalex.org/W2233904323","https://openalex.org/W2371638596","https://openalex.org/W2480195998","https://openalex.org/W2551473827","https://openalex.org/W2559256361","https://openalex.org/W2580206093","https://openalex.org/W2743504348","https://openalex.org/W2744480067","https://openalex.org/W2769697860","https://openalex.org/W2775399334","https://openalex.org/W2798730880","https://openalex.org/W2908954394","https://openalex.org/W2912654919","https://openalex.org/W2920822278","https://openalex.org/W2942676904","https://openalex.org/W2989930462","https://openalex.org/W3007984744","https://openalex.org/W3009079392","https://openalex.org/W3011654399","https://openalex.org/W3084085040","https://openalex.org/W3126745694","https://openalex.org/W3129758652","https://openalex.org/W3164347092","https://openalex.org/W3176397729","https://openalex.org/W3185192541","https://openalex.org/W3186300871","https://openalex.org/W3187338969","https://openalex.org/W4293547210","https://openalex.org/W6623737539","https://openalex.org/W6746483608","https://openalex.org/W6750750180","https://openalex.org/W6760458072"],"related_works":["https://openalex.org/W2032664813","https://openalex.org/W2591672004","https://openalex.org/W1982169401","https://openalex.org/W2356463514","https://openalex.org/W4319437832","https://openalex.org/W2592385415","https://openalex.org/W2030894524","https://openalex.org/W4243803609","https://openalex.org/W2350430350","https://openalex.org/W2623725391"],"abstract_inverted_index":{"Electroencephalography":[0],"(EEG)":[1],"is":[2,22,47,112,169],"an":[3,204],"indispensable":[4],"non-invasive":[5],"analytical":[6],"method":[7,201],"in":[8,35],"the":[9,17,41,104,116,132,180,207,215],"diagnosis":[10],"and":[11,26,70,125,153,186,195],"characterization":[12],"of":[13,52,57,75,99,109,122,135,139,150,155,158,166,193,210,218],"mental":[14,90,156,211],"health.":[15],"However,":[16],"conventional":[18],"EEG":[19,42,53,60,100,120,140,151,219],"interpretation":[20],"process":[21,133],"quite":[23],"subjective,":[24],"time-consuming,":[25],"susceptible":[27],"to":[28,39,88,102],"error.":[29],"The":[30,107,127,164,174],"clinicians":[31],"usually":[32],"observe":[33],"abnormalities":[34],"amplitude":[36],"or":[37,162],"frequency":[38],"markup":[40],"signal":[43,101,136,141],"as":[44,160],"unhealthy,":[45],"which":[46],"based":[48],"on":[49,115,183],"visual":[50],"scrutiny":[51],"data.":[54],"In":[55,77],"case":[56],"high-volume":[58],"long-duration":[59],"recordings,":[61],"it":[62],"will":[63],"be":[64,203],"a":[65,80,190],"grueling":[66],"task":[67],"for":[68,206],"experts":[69],"may":[71],"cause":[72],"inaccurate":[73],"classification":[74,154,191,209],"EEGs.":[76],"this":[78,110,199],"work,":[79],"computer-aided":[81],"automatic":[82,208],"decision-making":[83],"model":[84,130],"has":[85],"been":[86],"designed":[87],"identify":[89],"health":[91,157,212],"status":[92,213],"using":[93],"only":[94],"alpha":[95,148],"band":[96,149],"(8\u201312":[97],"Hz)":[98],"conquer":[103],"aforementioned":[105],"difficulties.":[106],"demonstration":[108],"study":[111],"carried":[113],"out":[114],"two":[117],"publicly":[118],"available":[119],"datasets":[121,188],"epileptical":[123,184],"seizure":[124,185],"schizophrenia.":[126],"proposed":[128,200],"simulation":[129],"followed":[131],"flow":[134],"denoising,":[137],"decomposition":[138],"into":[142],"various":[143],"bands,":[144],"feature":[145],"extractions":[146],"from":[147],"data,":[152],"human":[159],"healthy":[161],"unhealthy.":[163],"performance":[165],"chosen":[167],"features":[168],"evaluated":[170],"through":[171],"popular":[172],"classifiers.":[173],"ensemble":[175],"bagged":[176],"tree":[177],"classifier":[178],"outperforms":[179],"other":[181],"methods":[182],"schizophrenia":[187],"with":[189],"accuracy":[192],"99.5%":[194],"98.68%":[196],"respectively.":[197],"Hence,":[198],"can":[202],"alternative":[205],"at":[214],"early":[216],"stage":[217],"analysis.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
