{"id":"https://openalex.org/W2979737577","doi":"https://doi.org/10.1109/embc.2019.8857583","title":"Classification of TMS evoked potentials using ERP time signatures and SVM versus deep learning","display_name":"Classification of TMS evoked potentials using ERP time signatures and SVM versus deep learning","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2979737577","doi":"https://doi.org/10.1109/embc.2019.8857583","mag":"2979737577","pmid":"https://pubmed.ncbi.nlm.nih.gov/31946642"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2019.8857583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2019.8857583","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/A5031894206","display_name":"S\u00e9bastien Naze","orcid":"https://orcid.org/0000-0003-0367-402X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sebastien Naze","raw_affiliation_strings":["T.J. Watson IBM Research Center, Yorktown Heights, Computational Biology Center, New York, USA"],"affiliations":[{"raw_affiliation_string":"T.J. Watson IBM Research Center, Yorktown Heights, Computational Biology Center, New York, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007692024","display_name":"Vittorio Caggiano","orcid":"https://orcid.org/0000-0002-2186-1550"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vittorio Caggiano","raw_affiliation_strings":["T.J. Watson IBM Research Center, Yorktown Heights, Computational Biology Center, New York, USA"],"affiliations":[{"raw_affiliation_string":"T.J. Watson IBM Research Center, Yorktown Heights, Computational Biology Center, New York, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113459889","display_name":"Yinming Sun","orcid":"https://orcid.org/0000-0001-5353-7029"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yinming Sun","raw_affiliation_strings":["Stanford Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, California, USA"],"affiliations":[{"raw_affiliation_string":"Stanford Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, California, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005707403","display_name":"Molly V. Lucas","orcid":"https://orcid.org/0000-0001-7824-2219"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Molly V. Lucas","raw_affiliation_strings":["Stanford Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, California, USA"],"affiliations":[{"raw_affiliation_string":"Stanford Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, California, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074230080","display_name":"Amit Etkin","orcid":"https://orcid.org/0000-0001-8259-3521"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amit Etkin","raw_affiliation_strings":["Stanford Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, California, USA"],"affiliations":[{"raw_affiliation_string":"Stanford Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, California, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091293385","display_name":"James Kozloski","orcid":"https://orcid.org/0000-0003-3420-4688"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"James R. Kozloski","raw_affiliation_strings":["T.J. Watson IBM Research Center, Yorktown Heights, Computational Biology Center, New York, USA"],"affiliations":[{"raw_affiliation_string":"T.J. Watson IBM Research Center, Yorktown Heights, Computational Biology Center, New York, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5031894206"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2146,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59895231,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":"1","issue":null,"first_page":"3539","last_page":"3542"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10614","display_name":"Transcranial Magnetic Stimulation Studies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"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/T10614","display_name":"Transcranial Magnetic Stimulation Studies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9983000159263611,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9969000220298767,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6942603588104248},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6747137308120728},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6454100012779236},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6291471123695374},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5407123565673828},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5245602130889893},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5155496597290039},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.512689471244812},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4725085198879242},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.47018611431121826},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.4441668391227722},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.44212836027145386},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3680327534675598},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08725467324256897}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6942603588104248},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6747137308120728},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6454100012779236},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6291471123695374},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5407123565673828},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5245602130889893},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5155496597290039},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.512689471244812},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4725085198879242},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.47018611431121826},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.4441668391227722},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.44212836027145386},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3680327534675598},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08725467324256897}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005071","descriptor_name":"Evoked Potentials","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005071","descriptor_name":"Evoked Potentials","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005071","descriptor_name":"Evoked Potentials","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D050781","descriptor_name":"Transcranial Magnetic Stimulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D050781","descriptor_name":"Transcranial Magnetic Stimulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D050781","descriptor_name":"Transcranial Magnetic Stimulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2019.8857583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2019.8857583","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:31946642","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31946642","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":[{"score":0.7099999785423279,"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":18,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1522301498","https://openalex.org/W1532325895","https://openalex.org/W1966310586","https://openalex.org/W1992885267","https://openalex.org/W1994989100","https://openalex.org/W2044984028","https://openalex.org/W2064059030","https://openalex.org/W2089414962","https://openalex.org/W2124864242","https://openalex.org/W2127724900","https://openalex.org/W2277662419","https://openalex.org/W2616728375","https://openalex.org/W2776765799","https://openalex.org/W2782797809","https://openalex.org/W2964121744","https://openalex.org/W4243006540","https://openalex.org/W6631190155"],"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":{"Modeling":[0],"transcranial":[1],"magnetic":[2],"stimulation":[3],"(TMS)":[4],"evoked":[5],"potentials":[6,60],"(TEP)":[7],"begins":[8],"with":[9,130],"classification":[10,68],"of":[11],"stereotypical":[12],"single-pulse":[13],"TMS":[14],"responses":[15],"in":[16,32],"order":[17],"to":[18,34,88,152],"select":[19],"validation":[20],"targets":[21],"for":[22,42,143,159],"generative":[23],"dynamical":[24,156],"models.":[25],"Several":[26],"dimensionality":[27],"reduction":[28],"techniques":[29],"are":[30],"commonly":[31,57],"use":[33],"extract":[35],"statistically":[36],"independent":[37],"features":[38],"from":[39,62,92],"experimental":[40],"data":[41],"regression":[43],"against":[44],"model":[45],"parameters.":[46],"Here,":[47],"we":[48],"first":[49],"designed":[50],"a":[51,97,105],"3-dimensional":[52],"feature":[53,136],"space":[54,78],"based":[55,148],"on":[56,149],"described":[58],"event-related":[59],"(ERP)":[61],"the":[63,75,80,122,154],"literature.":[64],"We":[65,102],"then":[66],"compared":[67],"schemes":[69],"which":[70],"take":[71],"as":[72],"inputs":[73],"either":[74],"3D":[76,123],"projection":[77,124],"or":[79],"original":[81],"full":[82],"rank":[83],"input":[84,128],"space.":[85],"Their":[86],"ability":[87,151],"discriminate":[89],"TEP":[90,127,161],"recorded":[91],"different":[93],"brain":[94],"regions":[95],"given":[96],"stimulus":[98],"site":[99],"were":[100],"evaluated.":[101],"show":[103],"that":[104],"deep":[106],"learning":[107],"architecture,":[108],"employing":[109],"Convolutional":[110],"Neural":[111],"Network":[112],"(CNN)":[113],"and":[114,125],"Multi-Layer":[115],"Perceptron":[116],"(MLP),":[117],"yields":[118],"better":[119],"accuracy":[120],"than":[121],"raw":[126],"combined":[129],"Support":[131],"Vector":[132],"Machines.":[133],"Such":[134],"supervised":[135],"extraction":[137],"models":[138],"may":[139],"therefore":[140],"be":[141],"useful":[142],"scoring":[144],"neural":[145],"circuit":[146],"simulations":[147],"their":[150],"reproduce":[153],"underlying":[155],"processes":[157],"responsible":[158],"differential":[160],"responses.":[162]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
