{"id":"https://openalex.org/W1570142396","doi":null,"title":"Sampling frequency and pass-band frequency effects on neuromuscular signals (EMG) recognition","display_name":"Sampling frequency and pass-band frequency effects on neuromuscular signals (EMG) recognition","publication_year":2007,"publication_date":"2007-02-16","ids":{"openalex":"https://openalex.org/W1570142396","mag":"1570142396"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.519.1488","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.519.1488","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.wseas.us/e-library/conferences/2007corfu/papers/540-089.pdf","raw_type":"text"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"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/A5016436304","display_name":"Abdelhafid Zeghbib","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Abdelhafid Zeghbib","raw_affiliation_strings":["Otto-von-Guericke-Universit\u00e4t Magdeburg, Institut f\u00fcr Elektrische Energiesysteme, Magdeburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Otto-von-Guericke-Universit\u00e4t Magdeburg, Institut f\u00fcr Elektrische Energiesysteme, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111491165","display_name":"Frank Palis","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Frank Palis","raw_affiliation_strings":["Otto-von-Guericke-Universit\u00e4t Magdeburg, Institut f\u00fcr Elektrische Energiesysteme, Magdeburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Otto-von-Guericke-Universit\u00e4t Magdeburg, Institut f\u00fcr Elektrische Energiesysteme, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009824525","display_name":"Nicola Shoylev","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210148616","display_name":"University of Chemical Technology and Metallurgy","ror":"https://ror.org/0402pty94","country_code":"BG","type":"education","lineage":["https://openalex.org/I4210148616"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Nicola Shoylev","raw_affiliation_strings":["Department of Electrical Engineering, University of Chemical Technology and Metallurgy, Sofia, Bulgaria#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Chemical Technology and Metallurgy, Sofia, Bulgaria#TAB#","institution_ids":["https://openalex.org/I4210148616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024570324","display_name":"Valeri Mladenov","orcid":"https://orcid.org/0000-0002-6372-8192","observed_orcids":["https://orcid.org/0000-0002-6372-8192"]},"institutions":[{"id":"https://openalex.org/I31151848","display_name":"Technical University of Sofia","ror":"https://ror.org/052prhs50","country_code":"BG","type":"education","lineage":["https://openalex.org/I31151848"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Valeri Mladenov","raw_affiliation_strings":["(Department of Theoretical Electrical Engineering, Technical University of Sofia, Sofia, Bulgaria)"],"raw_orcid":"https://orcid.org/0000-0002-6372-8192","affiliations":[{"raw_affiliation_string":"(Department of Theoretical Electrical Engineering, Technical University of Sofia, Sofia, Bulgaria)","institution_ids":["https://openalex.org/I31151848"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036029555","display_name":"Nikos E. Mastorakis","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I152516533","display_name":"Hellenic Naval Academy","ror":"https://ror.org/02y84bs66","country_code":"GR","type":"education","lineage":["https://openalex.org/I152516533"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nikos E. Mastorakis","raw_affiliation_strings":["[Military Institutions of University Education, Hellenic Naval Academy, Piraeus, Greece]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[Military Institutions of University Education, Hellenic Naval Academy, Piraeus, Greece]","institution_ids":["https://openalex.org/I152516533"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4156,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76205731,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"107","last_page":"114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9961000084877014,"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":0.9961000084877014,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/electromyography","display_name":"electromyography","score":0.9419999718666077},{"id":"https://openalex.org/keywords/emg-signal-classification","display_name":"EMG signal classification","score":0.7979999780654907},{"id":"https://openalex.org/keywords/radial-basis-function-neural-network","display_name":"radial basis function neural network","score":0.8550000190734863},{"id":"https://openalex.org/keywords/fuzzy-subtractive-clustering","display_name":"fuzzy subtractive clustering","score":0.9800000190734863},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.6140000224113464}],"concepts":[{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.7013020515441895},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6657887697219849},{"id":"https://openalex.org/C2778116611","wikidata":"https://www.wikidata.org/wiki/Q25110567","display_name":"Frequency band","level":3,"score":0.5909124612808228},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5753419995307922},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5262136459350586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4802177846431732},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.4746930003166199},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.46381065249443054},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4181733727455139},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3499261736869812},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.18602299690246582},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.18078604340553284},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15414243936538696},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.11834976077079773},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.519.1488","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.519.1488","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.wseas.us/e-library/conferences/2007corfu/papers/540-089.pdf","raw_type":"text"},{"id":"mag:1570142396","doi":null,"is_oa":false,"landing_page_url":"http://www.wseas.us/e-library/conferences/2007corfu/papers/540-089.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419823","display_name":"International Conference on Signal Processing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Signal Processing","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1488198768","https://openalex.org/W1570834090","https://openalex.org/W2120422653","https://openalex.org/W2139045199","https://openalex.org/W2151712763","https://openalex.org/W2418691536"],"related_works":["https://openalex.org/W2168784785","https://openalex.org/W2155871231","https://openalex.org/W2980709048","https://openalex.org/W2201436378","https://openalex.org/W1980123898","https://openalex.org/W2168905258","https://openalex.org/W2122139981","https://openalex.org/W4293152813","https://openalex.org/W2118399214","https://openalex.org/W2912743002"],"abstract_inverted_index":{"Abstract:-":[0],"This":[1],"paper":[2],"treats":[3],"the":[4,12,27,30,38,57,84,94,101,111,114,119,122,130,134],"effects":[5],"of":[6,21,29,32,56,113,121,133,173],"EMG":[7,43,123],"signal":[8,17,44,79],"sampling":[9,45,73,96],"frequency":[10,14,46,49,76,87,97],"and":[11,47,74,89,158,175,181],"pass-band":[13,48,75,86],"on":[15,71,110],"neuromuscular":[16],"recognition":[18],"which":[19,136],"are":[20,106],"a":[22,51],"great":[23],"importance.":[24],"It":[25,63],"improves":[26],"optimisation":[28],"choice":[31],"those":[33],"parameter":[34],"values":[35,172,177],"that":[36,67],"guarantees":[37],"best":[39],"performance.":[40],"The":[41,78,144],"considered":[42],"have":[50,83,93],"significant":[52],"importance":[53],"in":[54,139],"viewpoint":[55],"extracted":[58],"information":[59,69,80],"from":[60],"this":[61,68,117],"signal.":[62],"will":[64],"be":[65],"shown":[66],"depends":[70],"both":[72],"values.":[77],"do":[81,91],"not":[82,92],"same":[85,95],"location":[88],"also":[90],"value":[98],"for":[99],"all":[100],"features,":[102],"but":[103],"these":[104],"parameters":[105],"then":[107],"self":[108],"depending":[109],"type":[112],"feature.":[115],"In":[116],"case":[118,141],"classification":[120,145],"signals":[124],"is":[125,137,146],"done":[126,147],"by":[127],"using":[128,148,169],"only":[129],"beginning":[131],"part":[132],"signal,":[135],"equal":[138],"our":[140],"to":[142,179],"256ms.":[143],"two":[149],"intelligent":[150],"computational":[151],"methods:":[152],"Radial":[153],"Basis":[154],"Function":[155],"network":[156,162],"(RBF)":[157],"Fuzzy":[159],"Subtractive":[160],"Clustering":[161],"(FSC).":[163],"Each":[164],"method":[165],"has":[166],"been":[167],"applied":[168],"four":[170],"different":[171],"spread":[174],"radius":[176],"corresponding":[178],"RBF":[180],"FSC":[182],"respectively.":[183]},"counts_by_year":[],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2016-06-24T00:00:00"}