{"id":"https://openalex.org/W3211037062","doi":"https://doi.org/10.3906/elk-2105-86","title":"Detection of amyotrophic lateral sclerosis disease by variational mode decomposition and convolution neural network methods from event-related potential signals","display_name":"Detection of amyotrophic lateral sclerosis disease by variational mode decomposition and convolution neural network methods from event-related potential signals","publication_year":2021,"publication_date":"2021-08-10","ids":{"openalex":"https://openalex.org/W3211037062","doi":"https://doi.org/10.3906/elk-2105-86","mag":"3211037062"},"language":"en","primary_location":{"id":"doi:10.3906/elk-2105-86","is_oa":true,"landing_page_url":"https://doi.org/10.3906/elk-2105-86","pdf_url":"https://journals.tubitak.gov.tr/cgi/viewcontent.cgi?article=1219&context=elektrik","source":{"id":"https://openalex.org/S32837994","display_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","issn_l":"1300-0632","issn":["1300-0632","1303-6203"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310318422","host_organization_name":"Scientific and Technological Research Council of Turkey (TUBITAK)","host_organization_lineage":["https://openalex.org/P4310318422"],"host_organization_lineage_names":["Scientific and Technological Research Council of Turkey (TUBITAK)"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING &amp; COMPUTER SCIENCES","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://journals.tubitak.gov.tr/cgi/viewcontent.cgi?article=1219&context=elektrik","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042577715","display_name":"Fatma Lati\u0307fo\u011flu","orcid":"https://orcid.org/0000-0003-2018-9616"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fatma LAT\u0130FO\u011eLU","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-2018-9616","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007215914","display_name":"F\u0131rat Orhanbulucu","orcid":"https://orcid.org/0000-0003-4558-9667"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"F\u0131rat ORHANBULUCU","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-4558-9667","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5071776557","display_name":"Ramis \u0130leri","orcid":"https://orcid.org/0000-0001-8128-118X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ramis \u0130LER\u0130","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-8128-118X","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2381,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.51396414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"29","issue":"SI-1","first_page":"2840","last_page":"2854"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9929999709129333,"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":0.9929999709129333,"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9902999997138977,"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"}},{"id":"https://openalex.org/T10085","display_name":"Parkinson's Disease Mechanisms and Treatments","score":0.9692000150680542,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/amyotrophic-lateral-sclerosis","display_name":"Amyotrophic lateral sclerosis","score":0.7250515222549438},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.7002356052398682},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6982560753822327},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5488614439964294},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5372104644775391},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5269761085510254},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4116404056549072},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38870957493782043},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.38263899087905884},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3449386954307556},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3263634741306305},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.31806695461273193},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.23620760440826416},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1925024688243866},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.1266954243183136},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09715038537979126}],"concepts":[{"id":"https://openalex.org/C2780596555","wikidata":"https://www.wikidata.org/wiki/Q206901","display_name":"Amyotrophic lateral sclerosis","level":3,"score":0.7250515222549438},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.7002356052398682},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6982560753822327},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5488614439964294},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5372104644775391},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5269761085510254},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4116404056549072},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38870957493782043},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.38263899087905884},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3449386954307556},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3263634741306305},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.31806695461273193},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.23620760440826416},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1925024688243866},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.1266954243183136},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09715038537979126},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3906/elk-2105-86","is_oa":true,"landing_page_url":"https://doi.org/10.3906/elk-2105-86","pdf_url":"https://journals.tubitak.gov.tr/cgi/viewcontent.cgi?article=1219&context=elektrik","source":{"id":"https://openalex.org/S32837994","display_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","issn_l":"1300-0632","issn":["1300-0632","1303-6203"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310318422","host_organization_name":"Scientific and Technological Research Council of Turkey (TUBITAK)","host_organization_lineage":["https://openalex.org/P4310318422"],"host_organization_lineage_names":["Scientific and Technological Research Council of Turkey (TUBITAK)"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING &amp; COMPUTER SCIENCES","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3906/elk-2105-86","is_oa":true,"landing_page_url":"https://doi.org/10.3906/elk-2105-86","pdf_url":"https://journals.tubitak.gov.tr/cgi/viewcontent.cgi?article=1219&context=elektrik","source":{"id":"https://openalex.org/S32837994","display_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","issn_l":"1300-0632","issn":["1300-0632","1303-6203"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310318422","host_organization_name":"Scientific and Technological Research Council of Turkey (TUBITAK)","host_organization_lineage":["https://openalex.org/P4310318422"],"host_organization_lineage_names":["Scientific and Technological Research Council of Turkey (TUBITAK)"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING &amp; COMPUTER SCIENCES","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3211037062.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2070831599","https://openalex.org/W4206749202","https://openalex.org/W2048256717","https://openalex.org/W3014107421","https://openalex.org/W2393752460","https://openalex.org/W2081563414","https://openalex.org/W2363056446","https://openalex.org/W2359718298","https://openalex.org/W2964954556","https://openalex.org/W3019910406"],"abstract_inverted_index":{"Amyotrophic":[0],"lateral":[1],"sclerosis":[2],"(ALS),":[3],"also":[4,148],"known":[5],"as":[6,16,52,98,278],"motor":[7],"neuron":[8],"disease,":[9],"is":[10,34,59,118,180,260],"a":[11,17,99,111],"neurological":[12,45,49,275],"disease":[13],"that":[14,262],"occurs":[15],"result":[18,100],"of":[19,29,48,83,101,139,182,211,257,265,273,289],"damage":[20],"to":[21,43,74,120,203,270,298],"the":[22,25,35,78,81,121,126,140,145,160,171,183,188,208,228,232,248,252,263,266,271,287,295,299],"nerves":[23],"in":[24,40,61,77,144,167,187],"brain":[26,41],"and":[27,107,125,150,157,193,200,215,221,239,286],"restriction":[28],"muscle":[30],"movements.":[31],"Electroencephalography":[32],"(EEG)":[33],"most":[36],"common":[37],"method":[38,296],"used":[39,220],"imaging":[42],"study":[44,267],"disorders.":[46],"Diagnosis":[47],"disorders":[50,276],"such":[51,277],"ALS,":[53,279],"Parkinson's,":[54],"attention":[55,280],"deficit":[56],"hyperactivity":[57],"disorder":[58],"important":[60],"biomedical":[62],"studies.":[63],"In":[64,86,132,207,231],"recent":[65],"years,":[66],"deep":[67],"learning":[68],"(DL)":[69],"models":[70],"have":[71],"been":[72],"started":[73],"be":[75],"applied":[76,119,297],"literature":[79],"for":[80],"diagnosis":[82,272],"these":[84],"diseases.":[85],"this":[87],"study,":[88],"event-related":[89],"potentials":[90],"(ERPs)":[91],"were":[92,153,165,196,219,243],"obtained":[93,97,197,226],"from":[94,104],"EEG":[95],"signals":[96,124,127,152,164,218,242],"visual":[102,284],"stimuli":[103],"ALS":[105],"patients":[106],"healthy":[108],"controls.":[109],"As":[110],"new":[112],"method,":[113],"variational":[114],"mode":[115,135],"decomposition":[116,136,142],"(VMD)":[117],"produced":[122],"ERP":[123,151,241,301],"are":[128],"decomposed":[129],"into":[130,155],"subbands.":[131],"addition,":[133],"empirical":[134],"(EMD),":[137],"one":[138,181],"popular":[141],"methods":[143],"literature,":[146],"was":[147,225],"analyzed,":[149],"divided":[154],"subbands":[156],"compared":[158],"with":[159,170,247],"VMD":[161,214,229],"method.":[162,230],"Subband":[163],"classified":[166,245],"two":[168],"stages":[169],"one-dimensional":[172],"convolutional":[173],"neural":[174],"network":[175],"(1D":[176],"CNN)":[177],"model,":[178],"which":[179],"DL":[184],"techniques":[185],"proposed":[186,300],"study.":[189],"Accuracy,":[190],"sensitivity,":[191],"specificity,":[192],"F1-Score":[194],"measurements":[195],"using":[198,294],"5-":[199],"10-fold":[201],"cross-validation":[202],"evaluate":[204],"classifier":[205],"performance.":[206],"first":[209],"stage":[210],"classification,":[212],"only":[213],"EMD":[216,236],"subband":[217,237],"92.95%":[222],"classification":[223,254],"accuracy":[224,255],"by":[227],"second":[233],"stage,":[234],"VMD,":[235],"signals,":[238],"original":[240],"all":[244],"together":[246],"VMD+ERP":[249],"model":[250],"achieving":[251],"maximum":[253],"rate":[256],"90.42%.":[258],"It":[259],"thought":[261],"results":[264],"will":[268],"contribute":[269],"similar":[274],"studies":[281],"based":[282],"on":[283],"stimuli,":[285],"development":[288],"brain-computer":[290],"interface":[291],"(BCI)":[292],"systems":[293],"signals.":[302]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
