{"id":"https://openalex.org/W2971919706","doi":"https://doi.org/10.1109/ccoms.2019.8821733","title":"Introducing a Novel sEMG ANN-Based Regression Approach for Elbow Motion Interpolation","display_name":"Introducing a Novel sEMG ANN-Based Regression Approach for Elbow Motion Interpolation","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2971919706","doi":"https://doi.org/10.1109/ccoms.2019.8821733","mag":"2971919706"},"language":"en","primary_location":{"id":"doi:10.1109/ccoms.2019.8821733","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccoms.2019.8821733","pdf_url":null,"source":{"id":"https://openalex.org/S4306498485","display_name":"2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS)","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/A5023744097","display_name":"Hamed Karbasi","orcid":null},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Hamed Karbasi","raw_affiliation_strings":["Electrical Engineering Department, Sharif University of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086687577","display_name":"Mehran Jahed","orcid":"https://orcid.org/0000-0002-0417-0272"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mehran Jahed","raw_affiliation_strings":["Electrical Engineering Department, Sharif University of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023744097"],"corresponding_institution_ids":["https://openalex.org/I133529467"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17447436,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"77","last_page":"80"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9998000264167786,"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":0.9998000264167786,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9932000041007996,"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/T10982","display_name":"Motor Control and Adaptation","score":0.9804999828338623,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6947465538978577},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6901794672012329},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5593250393867493},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.549122154712677},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5048390030860901},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5025672912597656},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.4820885956287384},{"id":"https://openalex.org/keywords/forearm","display_name":"Forearm","score":0.41096729040145874}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6947465538978577},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6901794672012329},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5593250393867493},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.549122154712677},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5048390030860901},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5025672912597656},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.4820885956287384},{"id":"https://openalex.org/C2780214079","wikidata":"https://www.wikidata.org/wiki/Q228537","display_name":"Forearm","level":2,"score":0.41096729040145874},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccoms.2019.8821733","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccoms.2019.8821733","pdf_url":null,"source":{"id":"https://openalex.org/S4306498485","display_name":"2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1483015037","https://openalex.org/W1737386158","https://openalex.org/W2002499457","https://openalex.org/W2013463953","https://openalex.org/W2016798546","https://openalex.org/W2136143272","https://openalex.org/W2171219007","https://openalex.org/W2334210935","https://openalex.org/W2625695348","https://openalex.org/W2734549526","https://openalex.org/W2744312188","https://openalex.org/W6637555643","https://openalex.org/W6739022318","https://openalex.org/W6740405727"],"related_works":["https://openalex.org/W2108508964","https://openalex.org/W2557901381","https://openalex.org/W2664685875","https://openalex.org/W2274425366","https://openalex.org/W2001372189","https://openalex.org/W1990431300","https://openalex.org/W2952146870","https://openalex.org/W2102450849","https://openalex.org/W2401433613","https://openalex.org/W2316019252"],"abstract_inverted_index":{"Surface":[0],"electromyogram":[1],"(sEMG)":[2],"signals":[3,29],"are":[4,34],"extensively":[5],"used":[6],"for":[7,31,98],"rehabilitation":[8],"and":[9,18,24,76],"control":[10],"purposes.":[11],"However":[12],"due":[13],"to":[14,49,57,65,74,105],"their":[15],"intrinsic":[16],"complexities":[17],"intense":[19],"sensor":[20],"crosstalk,":[21],"feature":[22],"classification":[23],"pattern":[25],"recognition":[26],"of":[27,81,95,109,115],"sEMG":[28,42,117],"especially":[30],"motion":[32,54,80,108],"analysis":[33],"quite":[35],"challenging.":[36],"This":[37],"study":[38],"proposes":[39],"a":[40,51,58,78,93,113],"versatile":[41],"Artificial":[43],"Neural":[44],"Network":[45],"based":[46,87],"regression":[47],"approach":[48,63],"evaluate":[50,75],"simple":[52],"elbow":[53],"with":[55,92],"respect":[56],"reference":[59],"frame.":[60],"The":[61],"proposed":[62,90],"attempts":[64],"appropriately":[66],"interpolate":[67],"intermediate":[68],"position":[69],"angles":[70],"in":[71],"an":[72],"attempt":[73],"substantiate":[77],"continuous":[79],"the":[82,89,99,107,110],"forearm.":[83],"Results":[84],"show":[85],"that":[86],"on":[88],"algorithm,":[91],"correlation":[94],"about":[96],"91%":[97],"test":[100],"data,":[101],"it":[102],"is":[103],"possible":[104],"track":[106],"forearm":[111],"through":[112],"set":[114],"discrete":[116],"signals.":[118]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
