{"id":"https://openalex.org/W2593941142","doi":"https://doi.org/10.1109/ner.2017.8008373","title":"Use of regularized discriminant analysis improves myoelectric hand movement classification","display_name":"Use of regularized discriminant analysis improves myoelectric hand movement classification","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2593941142","doi":"https://doi.org/10.1109/ner.2017.8008373","mag":"2593941142"},"language":"en","primary_location":{"id":"doi:10.1109/ner.2017.8008373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ner.2017.8008373","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 8th International IEEE/EMBS Conference on Neural Engineering (NER)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.research.ed.ac.uk/en/publications/137ec5af-f415-412f-b251-c046219ae5d1","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015752410","display_name":"Agamemnon Krasoulis","orcid":"https://orcid.org/0000-0002-0468-0627"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Agamemnon Krasoulis","raw_affiliation_strings":["Institute for Adaptive and Neural Computation, University of Edinburgh, Edinburgh, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Adaptive and Neural Computation, University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070255963","display_name":"Kianoush Nazarpour","orcid":"https://orcid.org/0000-0003-4217-0254"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kianoush Nazarpour","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Newcastle University, Newcastle, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Newcastle University, Newcastle, UK","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069715982","display_name":"Sethu Vijayakumar","orcid":"https://orcid.org/0000-0003-0649-7241"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sethu Vijayakumar","raw_affiliation_strings":["Institute of Perception, Action and Behaviour, University of Edinburgh, Edinburgh, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Perception, Action and Behaviour, University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5327,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.9223424,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"395","last_page":"398"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":1.0,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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":0.9969000220298767,"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/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.8548134565353394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7205747365951538},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7162240147590637},{"id":"https://openalex.org/keywords/quadratic-classifier","display_name":"Quadratic classifier","score":0.7122368812561035},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5312305092811584},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5168040990829468},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.49587544798851013},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4735545217990875},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4625934958457947},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4196414649486542},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3779336214065552},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32714077830314636},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2485504150390625}],"concepts":[{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.8548134565353394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7205747365951538},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7162240147590637},{"id":"https://openalex.org/C52620605","wikidata":"https://www.wikidata.org/wiki/Q7268357","display_name":"Quadratic classifier","level":3,"score":0.7122368812561035},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5312305092811584},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5168040990829468},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.49587544798851013},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4735545217990875},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4625934958457947},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4196414649486542},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3779336214065552},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32714077830314636},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2485504150390625},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ner.2017.8008373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ner.2017.8008373","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 8th International IEEE/EMBS Conference on Neural Engineering (NER)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprint.ncl.ac.uk:232840","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402485","display_name":"Newcastle University ePrints (Newcastle Univesity)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I84884186","host_organization_name":"Newcastle University","host_organization_lineage":["https://openalex.org/I84884186"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:pure.ed.ac.uk:openaire/137ec5af-f415-412f-b251-c046219ae5d1","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/137ec5af-f415-412f-b251-c046219ae5d1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Krasoulis, A, Nazarpour, K & Vijayakumar, S 2017, Use of Regularized Discriminant Analysis Improves Myoelectric Hand Movement Classification. in 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER). Institute of Electrical and Electronics Engineers, pp. 395-398, 8th International IEEE EMBS Conference on Neural Engineering, Shanghai, China, 25/05/17. https://doi.org/10.1109/NER.2017.8008373","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.ed.ac.uk:publications/137ec5af-f415-412f-b251-c046219ae5d1","is_oa":false,"landing_page_url":"http://hdl.handle.net/20.500.11820/137ec5af-f415-412f-b251-c046219ae5d1","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"pmh:oai:pure.ed.ac.uk:openaire/137ec5af-f415-412f-b251-c046219ae5d1","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/137ec5af-f415-412f-b251-c046219ae5d1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Krasoulis, A, Nazarpour, K & Vijayakumar, S 2017, Use of Regularized Discriminant Analysis Improves Myoelectric Hand Movement Classification. in 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER). Institute of Electrical and Electronics Engineers, pp. 395-398, 8th International IEEE EMBS Conference on Neural Engineering, Shanghai, China, 25/05/17. https://doi.org/10.1109/NER.2017.8008373","raw_type":"contributionToPeriodical"},"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2096203111","display_name":null,"funder_award_id":"EP/M025594/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G5244683316","display_name":null,"funder_award_id":"EP/M025977/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W2027933188","https://openalex.org/W2066327120","https://openalex.org/W2111135417","https://openalex.org/W2169931829","https://openalex.org/W2171188488","https://openalex.org/W2476000533","https://openalex.org/W4238240379"],"related_works":["https://openalex.org/W2113454941","https://openalex.org/W2951122819","https://openalex.org/W4288315282","https://openalex.org/W2350751952","https://openalex.org/W2362114017","https://openalex.org/W1999647744","https://openalex.org/W2088711785","https://openalex.org/W3147024994","https://openalex.org/W4285246984","https://openalex.org/W2075660794"],"abstract_inverted_index":{"Linear":[0],"discriminant":[1,27,47,61,162],"analysis":[2,28,48,62,163],"(LDA)":[3],"is":[4,43],"the":[5,23,31,84,90,136,140,177,193],"most":[6],"commonly":[7],"used":[8],"classification":[9,41,101,148],"method":[10,51,71,164],"for":[11],"movement":[12],"intention":[13],"decoding":[14],"from":[15,111,117],"myoelectric":[16,112,198],"signals.":[17],"In":[18,94],"this":[19,95],"work,":[20],"we":[21,97],"review":[22],"performance":[24,42,102,194],"of":[25,33,86,129,139,167,195],"various":[26,54],"variants":[29],"on":[30,104],"task":[32],"hand":[34],"motion":[35,108],"classification.":[36],"We":[37,132],"demonstrate":[38],"that":[39,134,187],"optimal":[40],"achieved":[44],"with":[45],"regularized":[46],"(RDA),":[49],"a":[50,73,99,127,154],"which":[52,82],"generalizes":[53],"class-conditional":[55],"Gaussian":[56,65],"classifiers,":[57],"including":[58],"LDA,":[59],"quadratic":[60],"(QDA),":[63],"and":[64,113,120,179],"naive":[66],"Bayes":[67],"(GNB).":[68],"The":[69],"RDA":[70,141],"offers":[72],"continuum":[74],"between":[75],"these":[76],"models":[77],"via":[78,146],"tuning":[79],"two":[80],"hyper-parameters":[81],"control":[83],"amount":[85],"regularization":[87,137],"applied":[88],"to":[89,159],"estimated":[91],"covariance":[92],"matrices.":[93],"study,":[96],"performed":[98,126],"systematic":[100],"comparison":[103],"four":[105],"datasets.":[106],"Hand":[107],"was":[109,150],"decoded":[110],"inertial":[114],"data":[115],"recorded":[116],"60":[118],"able-bodied":[119,178],"12":[121],"amputee":[122,180],"subjects":[123],"whilst":[124],"they":[125],"range":[128],"40":[130],"movements.":[131],"found":[133],"when":[135],"parameters":[138],"classifier":[142],"were":[143,174],"carefully":[144],"tuned":[145],"cross-validation,":[147],"accuracy":[149],"statistically":[151],"higher":[152],"by":[153],"large":[155],"margin":[156],"as":[157],"compared":[158],"any":[160],"other":[161],"(average":[165],"improvement":[166],"13.7%":[168],"over":[169],"LDA).":[170],"Importantly,":[171],"our":[172,188],"findings":[173],"consistent":[175],"across":[176],"populations.":[181],"This":[182],"observation":[183],"provides":[184],"supporting":[185],"evidence":[186],"proposed":[189],"methodology":[190],"could":[191],"improve":[192],"pattern":[196],"recognition-based":[197],"prostheses.":[199]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
