{"id":"https://openalex.org/W2886244010","doi":"https://doi.org/10.1109/memea.2018.8438760","title":"EMG factorization during walking: does digital filtering influence the accuracy in the evaluation of the muscle synergy number?","display_name":"EMG factorization during walking: does digital filtering influence the accuracy in the evaluation of the muscle synergy number?","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2886244010","doi":"https://doi.org/10.1109/memea.2018.8438760","mag":"2886244010"},"language":"en","primary_location":{"id":"doi:10.1109/memea.2018.8438760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea.2018.8438760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","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/A5012562117","display_name":"Emilia Scalona","orcid":"https://orcid.org/0000-0002-3430-6759"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Emilia Scalona","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064627329","display_name":"Juri Taborri","orcid":"https://orcid.org/0000-0002-8997-7605"},"institutions":[{"id":"https://openalex.org/I138938424","display_name":"Universit\u00e0 degli Studi della Tuscia","ror":"https://ror.org/03svwq685","country_code":"IT","type":"education","lineage":["https://openalex.org/I138938424"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Juri Taborri","raw_affiliation_strings":["Department of Economics, Engineering, Society and Business Organization (DEIM), University of Tuscia, Viterbo, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Economics, Engineering, Society and Business Organization (DEIM), University of Tuscia, Viterbo, Italy","institution_ids":["https://openalex.org/I138938424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016949200","display_name":"Zaccaria Del Prete","orcid":"https://orcid.org/0000-0001-6057-7774"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Zaccaria Del Prete","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085294049","display_name":"Eduardo Palermo","orcid":"https://orcid.org/0000-0002-3213-8261"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Eduardo Palermo","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000870915","display_name":"Stefano Rossi","orcid":"https://orcid.org/0000-0003-0006-7013"},"institutions":[{"id":"https://openalex.org/I138938424","display_name":"Universit\u00e0 degli Studi della Tuscia","ror":"https://ror.org/03svwq685","country_code":"IT","type":"education","lineage":["https://openalex.org/I138938424"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Rossi","raw_affiliation_strings":["Department of Economics, Engineering, Society and Business Organization (DEIM), University of Tuscia, Viterbo, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Economics, Engineering, Society and Business Organization (DEIM), University of Tuscia, Viterbo, Italy","institution_ids":["https://openalex.org/I138938424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5012562117"],"corresponding_institution_ids":["https://openalex.org/I861853513"],"apc_list":null,"apc_paid":null,"fwci":0.4358,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.6074538,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"401","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9998999834060669,"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":0.9998999834060669,"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/T10982","display_name":"Motor Control and Adaptation","score":0.9987000226974487,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9970999956130981,"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/artifact","display_name":"Artifact (error)","score":0.6540616154670715},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6467524170875549},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6237784624099731},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6144446134567261},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6067533493041992},{"id":"https://openalex.org/keywords/high-pass-filter","display_name":"High-pass filter","score":0.5166945457458496},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5070209503173828},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46560603380203247},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4237667918205261},{"id":"https://openalex.org/keywords/low-pass-filter","display_name":"Low-pass filter","score":0.4137343764305115},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.40632402896881104},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.18313777446746826},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.15613919496536255}],"concepts":[{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.6540616154670715},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6467524170875549},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6237784624099731},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6144446134567261},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6067533493041992},{"id":"https://openalex.org/C156137958","wikidata":"https://www.wikidata.org/wiki/Q262754","display_name":"High-pass filter","level":4,"score":0.5166945457458496},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5070209503173828},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46560603380203247},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4237667918205261},{"id":"https://openalex.org/C44682112","wikidata":"https://www.wikidata.org/wiki/Q918242","display_name":"Low-pass filter","level":3,"score":0.4137343764305115},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.40632402896881104},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.18313777446746826},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.15613919496536255},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/memea.2018.8438760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea.2018.8438760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unibs.it:11379/565264","is_oa":false,"landing_page_url":"https://hdl.handle.net/11379/565264","pdf_url":null,"source":{"id":"https://openalex.org/S4306400804","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Brescia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:iris.uniroma1.it:11573/1140114","is_oa":false,"landing_page_url":"http://hdl.handle.net/11573/1140114","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","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":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1482575233","https://openalex.org/W1709940703","https://openalex.org/W1902027874","https://openalex.org/W1972837991","https://openalex.org/W1992840328","https://openalex.org/W1996122955","https://openalex.org/W2015356556","https://openalex.org/W2030833660","https://openalex.org/W2053589959","https://openalex.org/W2055902356","https://openalex.org/W2070213512","https://openalex.org/W2071371093","https://openalex.org/W2094697451","https://openalex.org/W2098784096","https://openalex.org/W2108315391","https://openalex.org/W2148006877","https://openalex.org/W2148191774","https://openalex.org/W2254357160","https://openalex.org/W2522366060","https://openalex.org/W2619826658","https://openalex.org/W2734982398","https://openalex.org/W2795279161","https://openalex.org/W6727007763"],"related_works":["https://openalex.org/W2900322080","https://openalex.org/W4289532594","https://openalex.org/W2180182164","https://openalex.org/W3199970339","https://openalex.org/W2538987256","https://openalex.org/W1971030621","https://openalex.org/W2494267175","https://openalex.org/W1534884398","https://openalex.org/W2081193525","https://openalex.org/W5997988"],"abstract_inverted_index":{"This":[0],"paper":[1,322],"aims":[2],"at":[3],"verifying":[4],"if":[5],"the":[6,14,24,37,44,47,54,58,64,73,79,91,114,134,160,165,169,176,179,193,197,213,216,223,228,243,275,279,298,312,320,326,329],"number":[7,205,229,299,313],"of":[8,20,23,27,46,66,72,81,98,125,130,146,178,181,206,215,230,249,264,277,297,300,311,314,328],"muscle":[9,82,161,231,315,334],"synergies":[10,162,207,232,250],"is":[11,233],"influenced":[12],"by":[13,108],"filtering":[15,77,174,240,253,265,282,331],"process.":[16],"Firstly,":[17],"EMG":[18,92,104,224],"activity":[19],"12":[21],"muscles":[22],"lower":[25],"limb":[26],"a":[28,84,96,204],"healthy":[29],"subject":[30],"was":[31,41,88,120,141,156,188],"recorded":[32],"during":[33],"walking":[34],"trial.":[35],"Then,":[36],"Wavelet-Independent":[38],"Component":[39],"Analysis":[40],"used":[42],"for":[43,133,211,222,325],"separation":[45],"EMG,":[48],"considered":[49],"as":[50,284],"reference":[51,115,118,166,198,201],"signal,":[52],"and":[53,69,75,127,148,168,190,290,305],"noise":[55,111],"source":[56],"from":[57,196,256],"raw":[59,103],"experimental":[60],"data.":[61],"To":[62],"test":[63],"effect":[65],"different":[67,110,123,144,238,247,252],"order":[68,126,289],"cut-off":[70,128,291,306],"frequencies":[71,292,307],"high-pass":[74],"low-pass":[76,131,218,239],"on":[78,90,163,270],"numbers":[80,248],"synergies,":[83,301],"Monte":[85],"Carlo":[86],"simulation":[87],"performed":[89,157],"signals.":[93],"In":[94,317],"particular,":[95],"dataset":[97,119,167,187,202,245],"10":[99],"<sup":[100],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[101],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">5</sup>":[102],"signals":[105,112],"were":[106],"generated":[107,246],"adding":[109],"to":[113,158,209,237,258,294],"signal.":[116],"The":[117,137,200],"pre-processed":[121,142],"with":[122,143,192,235],"combination":[124],"frequency":[129],"filter":[132],"envelope":[135],"extraction.":[136],"simulated":[138,170,186,244],"dataset,":[139],"instead,":[140],"combinations":[145,214,263],"high":[147,303],"low":[149,288],"pass":[150],"filtering.":[151],"A":[152],"non-negative":[153],"matrix":[154],"factorization":[155],"extract":[159],"both":[164],"ones.":[171],"For":[172],"each":[173,185],"combination,":[175],"percentage":[177],"Number":[180],"Synergies":[182],"NoS":[183,194],"within":[184],"computed":[189],"compared":[191],"obtained":[195],"dataset.":[199],"produced":[203,267],"equal":[208],"4":[210],"all":[212],"tested":[217],"filters,":[219],"proving":[220],"that,":[221],"signal":[225],"without":[226],"artifact,":[227],"robust":[234],"respect":[236],"parameters.":[241],"Conversely,":[242],"in":[251,333],"conditions,":[254],"ranging":[255],"3":[257],"5.":[259],"However,":[260],"some":[261],"particular":[262],"parameters":[266],"no":[268],"variation":[269],"Nos.":[271],"Our":[272],"results":[273],"demonstrate":[274],"importance":[276],"choosing":[278],"most":[280],"appropriate":[281],"parameters,":[283],"it":[285],"resulted":[286],"that":[287],"lead":[293],"an":[295,309],"underestimation":[296],"while":[302],"orders":[304],"cause":[308],"overestimation":[310],"synergies.":[316],"this":[318],"vein,":[319],"present":[321],"offers":[323],"guidelines":[324],"choice":[327],"best":[330],"condition":[332],"synergy":[335],"evaluation.":[336]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2018-08-22T00:00:00"}