{"id":"https://openalex.org/W2897001451","doi":"https://doi.org/10.1109/biorob.2018.8487185","title":"Linear vs Non-Linear Mapping in a Body Machine Interface Based on Electromyographic Signals","display_name":"Linear vs Non-Linear Mapping in a Body Machine Interface Based on Electromyographic Signals","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2897001451","doi":"https://doi.org/10.1109/biorob.2018.8487185","mag":"2897001451"},"language":"en","primary_location":{"id":"doi:10.1109/biorob.2018.8487185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biorob.2018.8487185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob)","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/A5051340366","display_name":"Camilla Pierella","orcid":"https://orcid.org/0000-0002-8108-9363"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"C. Pierella","raw_affiliation_strings":["Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), School of Engineering, Geneva, Switzerland"],"affiliations":[{"raw_affiliation_string":"Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), School of Engineering, Geneva, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009363329","display_name":"Andrea Sciacchitano","orcid":"https://orcid.org/0000-0003-4627-3787"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"A. Sciacchitano","raw_affiliation_strings":["University of Genova, Genova, Italy"],"affiliations":[{"raw_affiliation_string":"University of Genova, Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053994758","display_name":"Ali Farshchiansadegh","orcid":"https://orcid.org/0000-0001-9321-0944"},"institutions":[{"id":"https://openalex.org/I1324242722","display_name":"Shirley Ryan AbilityLab","ror":"https://ror.org/02ja0m249","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1324242722"]},{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Farshchiansadegh","raw_affiliation_strings":["Northwestern University, Shirley Ryan Ability Lab, Chicago, IL"],"affiliations":[{"raw_affiliation_string":"Northwestern University, Shirley Ryan Ability Lab, Chicago, IL","institution_ids":["https://openalex.org/I1324242722","https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043864991","display_name":"Maura Casadio","orcid":"https://orcid.org/0000-0003-2338-8995"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"M. Casadio","raw_affiliation_strings":["University of Genova, Genova, Italy"],"affiliations":[{"raw_affiliation_string":"University of Genova, Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023076595","display_name":"Sandro Mussa-Ivaldi","orcid":null},"institutions":[{"id":"https://openalex.org/I1324242722","display_name":"Shirley Ryan AbilityLab","ror":"https://ror.org/02ja0m249","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1324242722"]},{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S.A. Mussa-Ivaldi","raw_affiliation_strings":["Northwestern University, Shirley Ryan Ability Lab, Chicago, IL"],"affiliations":[{"raw_affiliation_string":"Northwestern University, Shirley Ryan Ability Lab, Chicago, IL","institution_ids":["https://openalex.org/I1324242722","https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5051340366"],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":null,"apc_paid":null,"fwci":0.6172,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.66593202,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"521","issue":null,"first_page":"162","last_page":"166"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9987999796867371,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.986299991607666,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cursor","display_name":"Cursor (databases)","score":0.7317912578582764},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7113034129142761},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.578990638256073},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4983103275299072},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.49688270688056946},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4746832549571991},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4709744453430176},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.413241982460022},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.377026230096817},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37673038244247437},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3371387720108032},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2367618978023529}],"concepts":[{"id":"https://openalex.org/C2776990265","wikidata":"https://www.wikidata.org/wiki/Q2998101","display_name":"Cursor (databases)","level":2,"score":0.7317912578582764},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7113034129142761},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.578990638256073},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4983103275299072},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.49688270688056946},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4746832549571991},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4709744453430176},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.413241982460022},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.377026230096817},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37673038244247437},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3371387720108032},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2367618978023529},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/biorob.2018.8487185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biorob.2018.8487185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unige.it:11567/934885","is_oa":false,"landing_page_url":"http://hdl.handle.net/11567/934885","pdf_url":null,"source":{"id":"https://openalex.org/S4377196291","display_name":"CINECA IRIS Institutial Research Information System (University of Genoa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83816512","host_organization_name":"University of Genoa","host_organization_lineage":["https://openalex.org/I83816512"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W62275428","https://openalex.org/W1507187303","https://openalex.org/W2000439420","https://openalex.org/W2024564270","https://openalex.org/W2052582959","https://openalex.org/W2072128103","https://openalex.org/W2078626246","https://openalex.org/W2130611029","https://openalex.org/W2134842679","https://openalex.org/W2137904014","https://openalex.org/W2147800946","https://openalex.org/W2160060124","https://openalex.org/W2296250246","https://openalex.org/W2324490389","https://openalex.org/W2516710120","https://openalex.org/W2564226721","https://openalex.org/W2590163544","https://openalex.org/W2792578571","https://openalex.org/W2919115771","https://openalex.org/W2953267151","https://openalex.org/W4231109964","https://openalex.org/W4237366853","https://openalex.org/W6679415384","https://openalex.org/W6680067488"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W4391160746","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W3089231081","https://openalex.org/W2093956241"],"abstract_inverted_index":{"The":[0,171],"human":[1],"machine":[2,51],"interface":[3,19,52],"(HMI)":[4],"refers":[5],"to":[6,45,57,214,222],"a":[7,36,73,95,106,111,127,138,164,168,178,224],"paradigm":[8],"in":[9,87,198],"which":[10],"the":[11,22,28,43,47,49,84,103,124,143,146,160,174,182,187,190,193,206,212,215],"users":[12],"interact":[13],"with":[14,145],"external":[15],"devices":[16],"through":[17],"an":[18,149],"that":[20,38,59,78,98,158],"mediates":[21],"information":[23,85],"exchanges":[24],"between":[25,181],"them":[26],"and":[27,151,203,226],"device.":[29],"In":[30,90,185],"this":[31,91,135],"work":[32,92],"we":[33,93],"focused":[34],"on":[35,118,126,167],"HMI":[37],"exploits":[39],"signals":[40,60,101],"derived":[41,61],"from":[42,62],"body":[44,50,63],"control":[46,104],"machine:":[48],"(BMI).":[53],"It":[54],"is":[55],"reasonable":[56],"assume":[58],"movements,":[64],"electromyography":[65],"activity,":[66,71],"as":[67,69],"well":[68],"brain":[70],"have":[72],"non-linear":[74,113,194,218],"nature.":[75],"This":[76,209],"implies":[77],"linear":[79,169],"algorithms":[80,221],"cannot":[81],"exploit":[82],"all":[83],"contained":[86],"these":[88],"signals.":[89],"proposed":[94],"new":[96,112,225],"BMI":[97,165],"maps":[99],"electromyographic":[100],"into":[102],"of":[105,129,148,155,173,189,200,205,217],"computer":[107],"cursor":[108],"by":[109],"using":[110,163,192],"dimensionality":[114,219],"reduction":[115,220],"algorithm":[116],"based":[117,166],"autoassociative":[119],"neural":[120],"network.":[121],"We":[122,141],"tested":[123],"system":[125],"group":[128,154],"ten":[130],"healthy":[131,156],"subjects":[132,157],"that,":[133],"controlling":[134],"cursor,":[136],"performed":[137],"reaching":[139],"task.":[140],"compared":[142],"result":[144],"performance":[147,175,188],"age":[150],"gender":[152],"matched":[153],"solved":[159],"same":[161],"task":[162],"mapping.":[170],"analysis":[172],"indices":[176],"showed":[177],"substantial":[179],"difference":[180],"two":[183],"groups.":[184],"particular,":[186],"people":[191],"mapping":[195],"were":[196],"better":[197],"terms":[199],"time,":[201],"accuracy":[202],"smoothness":[204],"cursor's":[207],"movement.":[208],"study":[210],"opened":[211],"way":[213],"exploitation":[216],"pursue":[223],"effective":[227],"clinical":[228],"approach":[229],"for":[230],"body-machine":[231],"interfaces.":[232]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}