{"id":"https://openalex.org/W3134317050","doi":"https://doi.org/10.5220/0004912202840288","title":"Runtime Calibration of Online EEG based Movement Prediction using EMG Signals","display_name":"Runtime Calibration of Online EEG based Movement Prediction using EMG Signals","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W3134317050","doi":"https://doi.org/10.5220/0004912202840288","mag":"3134317050"},"language":"en","primary_location":{"id":"doi:10.5220/0004912202840288","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004912202840288","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Bio-inspired Systems and Signal Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0004912202840288","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028997194","display_name":"Marc Tabie","orcid":"https://orcid.org/0000-0003-4895-1617"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Marc Tabie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111518690","display_name":"Hendrik Woehrle","orcid":"https://orcid.org/0000-0001-5171-0756"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hendrik Woehrle","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5023547226","display_name":"Elsa Andrea Kirchner","orcid":"https://orcid.org/0000-0002-5370-7443"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Elsa Andrea Kirchner","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028997194"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1531,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54918807,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"284","last_page":"288"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9886000156402588,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9412000179290771,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7583722472190857},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.743605375289917},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.7215510606765747},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6516774892807007},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.632948637008667},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5260500907897949},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4753279983997345},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.4379718601703644},{"id":"https://openalex.org/keywords/motor-imagery","display_name":"Motor imagery","score":0.43695566058158875},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3569473624229431},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09300795197486877},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08775609731674194},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08234316110610962}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7583722472190857},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.743605375289917},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.7215510606765747},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6516774892807007},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.632948637008667},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5260500907897949},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4753279983997345},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.4379718601703644},{"id":"https://openalex.org/C54808283","wikidata":"https://www.wikidata.org/wiki/Q6918191","display_name":"Motor imagery","level":4,"score":0.43695566058158875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3569473624229431},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09300795197486877},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08775609731674194},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08234316110610962},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0004912202840288","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004912202840288","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Bio-inspired Systems and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0004912202840288","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004912202840288","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Bio-inspired Systems and Signal Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1977940006","https://openalex.org/W2887556756","https://openalex.org/W2947925238","https://openalex.org/W195417223","https://openalex.org/W1513407214","https://openalex.org/W1984377984","https://openalex.org/W1961545574","https://openalex.org/W2510077457","https://openalex.org/W3045772920","https://openalex.org/W2047816336"],"abstract_inverted_index":{"Prediction":[0],"of":[1,22,50,58,70,96,112,132,140,150],"voluntary":[2],"movements":[3,131],"from":[4,44],"electroencephalographic":[5],"(EEG)":[6],"signals":[7,114],"is":[8,67,93],"widely":[9],"used":[10,116],"and":[11,28,48,81],"investigated\r\n\r\nfor":[12],"applications":[13],"like":[14],"brain-computer":[15],"interfaces":[16],"(BCIs)":[17],"or":[18,157],"in":[19,35,104,171],"the":[20,54,89,97,110,119,133,138,148,177],"field":[21],"rehabilitation.":[23],"Different":[24],"combinations\r\n\r\nof":[25],"signal":[26],"processing":[27],"machine":[29],"learning":[30,41],"methods":[31],"can":[32],"be":[33,85],"found":[34,167],"literature":[36],"for":[37],"solving":[38],"this":[39],"task.\r\n\r\nMachine":[40],"algorithms":[42],"suffer":[43],"small":[45],"signal-to-noise":[46],"ratios":[47],"non-stationarity":[49],"EEG":[51],"signals.":[52],"Due\r\n\r\nto":[53],"non-stationarity,":[55],"prediction":[56,77,172],"performance":[57],"a":[59,101,144,168],"fixed":[60,145],"classifier":[61,120],"may":[62],"degrade":[63],"over":[64,79],"time.":[65],"This":[66],"because\r\n\r\nthe":[68],"shape":[69],"motor-related":[71],"cortical":[72],"potentials":[73],"associated":[74],"with":[75,126],"movement":[76,106],"change":[78],"time":[80],"thus\r\n\r\nmay":[82],"no":[83],"longer":[84],"well":[86],"represented":[87],"by":[88,109],"classifier.":[90,98,146],"A":[91],"solution":[92],"online":[94,178],"calibration":[95,179],"Therefore,\r\n\r\nwe":[99],"propose":[100],"novel":[102],"approach":[103],"which":[105],"onsets,":[107],"detected":[108],"analysis":[111],"electromyographic\r\n\r\n(EMG)":[113],"are":[115],"to":[117],"recalibrate":[118],"during":[121],"runtime.":[122],"We":[123,136],"conducted":[124],"experiments":[125],"8":[127],"subjects\r\n\r\nperforming":[128],"self-initiated,":[129],"self-paced":[130],"right":[134],"arm.":[135],"investigated":[137],"differences":[139],"online\r\n\r\ncalibration":[141],"versus":[142],"applying":[143],"Further":[147],"effect":[149],"varying":[151],"initial":[152],"training":[153],"instances":[154],"(":[155],"1\r\n\r\n3":[156],"2\r\n\r\n3":[158],"of\r\n\r\navailable":[159],"data)":[160],"was":[161,180],"examined.":[162],"In":[163],"both":[164],"cases":[165],"we":[166],"significant":[169],"improvement":[170],"performance\r\n\r\n(p":[173],"<":[174],"0:05)":[175],"when":[176],"used.":[181]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2021-03-15T00:00:00"}
