{"id":"https://openalex.org/W2801797932","doi":"https://doi.org/10.1108/ir-10-2017-0190","title":"An optimized artificial neural network for human-force estimation: consequences for rehabilitation robotics","display_name":"An optimized artificial neural network for human-force estimation: consequences for rehabilitation robotics","publication_year":2018,"publication_date":"2018-04-16","ids":{"openalex":"https://openalex.org/W2801797932","doi":"https://doi.org/10.1108/ir-10-2017-0190","mag":"2801797932"},"language":"en","primary_location":{"id":"doi:10.1108/ir-10-2017-0190","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ir-10-2017-0190","pdf_url":null,"source":{"id":"https://openalex.org/S166948985","display_name":"Industrial Robot the international journal of robotics research and application","issn_l":"0143-991X","issn":["0143-991X","1758-5791"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Industrial Robot: An International Journal","raw_type":"journal-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/A5008523215","display_name":"Vahab Khoshdel","orcid":null},"institutions":[{"id":"https://openalex.org/I86958956","display_name":"Ferdowsi University of Mashhad","ror":"https://ror.org/00g6ka752","country_code":"IR","type":"education","lineage":["https://openalex.org/I86958956"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Vahab Khoshdel","raw_affiliation_strings":["Center of Excellence on Soft Computing and Intelligent Information Processing, Mechanical Engineering Department, Ferdowsi University of Mashhad, Mashhad, Islamic Republic of Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center of Excellence on Soft Computing and Intelligent Information Processing, Mechanical Engineering Department, Ferdowsi University of Mashhad, Mashhad, Islamic Republic of Iran","institution_ids":["https://openalex.org/I86958956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023858030","display_name":"Alireza Akbarzadeh","orcid":"https://orcid.org/0000-0001-8605-8956"},"institutions":[{"id":"https://openalex.org/I86958956","display_name":"Ferdowsi University of Mashhad","ror":"https://ror.org/00g6ka752","country_code":"IR","type":"education","lineage":["https://openalex.org/I86958956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Alireza Akbarzadeh","raw_affiliation_strings":["Center of Excellence on Soft Computing and Intelligent Information Processing, Mechanical Engineering Department, Ferdowsi University of Mashhad, Mashhad, Islamic Republic of Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center of Excellence on Soft Computing and Intelligent Information Processing, Mechanical Engineering Department, Ferdowsi University of Mashhad, Mashhad, Islamic Republic of Iran","institution_ids":["https://openalex.org/I86958956"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008523215"],"corresponding_institution_ids":["https://openalex.org/I86958956"],"apc_list":null,"apc_paid":null,"fwci":0.78,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.69762776,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"45","issue":"3","first_page":"416","last_page":"423"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9900000095367432,"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/T11023","display_name":"Prosthetics and Rehabilitation Robotics","score":0.9884999990463257,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6908307075500488},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6439607739448547},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6252269744873047},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.6028589606285095},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5797557234764099},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.49929118156433105},{"id":"https://openalex.org/keywords/exoskeleton","display_name":"Exoskeleton","score":0.4648500978946686},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44765907526016235},{"id":"https://openalex.org/keywords/contact-force","display_name":"Contact force","score":0.44293180108070374},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.27893781661987305},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13525304198265076}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6908307075500488},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6439607739448547},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6252269744873047},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.6028589606285095},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5797557234764099},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.49929118156433105},{"id":"https://openalex.org/C146549078","wikidata":"https://www.wikidata.org/wiki/Q191944","display_name":"Exoskeleton","level":2,"score":0.4648500978946686},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44765907526016235},{"id":"https://openalex.org/C81302111","wikidata":"https://www.wikidata.org/wiki/Q2916417","display_name":"Contact force","level":2,"score":0.44293180108070374},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.27893781661987305},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13525304198265076},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/ir-10-2017-0190","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ir-10-2017-0190","pdf_url":null,"source":{"id":"https://openalex.org/S166948985","display_name":"Industrial Robot the international journal of robotics research and application","issn_l":"0143-991X","issn":["0143-991X","1758-5791"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Industrial Robot: An International Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W204381787","https://openalex.org/W1967109380","https://openalex.org/W2002019593","https://openalex.org/W2026596443","https://openalex.org/W2026828908","https://openalex.org/W2028070629","https://openalex.org/W2033557597","https://openalex.org/W2049850414","https://openalex.org/W2055717456","https://openalex.org/W2057168118","https://openalex.org/W2077719796","https://openalex.org/W2081542120","https://openalex.org/W2081576215","https://openalex.org/W2107309239","https://openalex.org/W2112894011","https://openalex.org/W2158728671","https://openalex.org/W2162438232","https://openalex.org/W2168117107","https://openalex.org/W2418936461","https://openalex.org/W2466522258","https://openalex.org/W2762013224"],"related_works":["https://openalex.org/W2901258812","https://openalex.org/W2887985348","https://openalex.org/W2401700601","https://openalex.org/W3017269254","https://openalex.org/W2570835373","https://openalex.org/W2557545276","https://openalex.org/W4387054232","https://openalex.org/W3198063775","https://openalex.org/W1553696796","https://openalex.org/W2593563634"],"abstract_inverted_index":{"Purpose":[0],"This":[1],"paper":[2],"aims":[3],"to":[4,13,26,39,47,74,166,182,188,200,231,300,307,320,332],"present":[5,210],"an":[6,293],"application":[7],"of":[8,10,18,104,139,170,177,191,204,217,245,315,329],"design":[9,48,296],"experiments":[11],"techniques":[12],"determine":[14,263],"the":[15,62,75,94,102,105,113,116,123,136,153,156,168,189,202,211,218,233,243,246,250,259,264,267,271,288,302,309,344],"optimized":[16],"parameters":[17,220,290,311],"artificial":[19],"neural":[20],"networks":[21],"(ANNs),":[22],"which":[23,119],"are":[24,61,72,120,175,180,274,285,298],"used":[25,131,181,254,306,319],"estimate":[27,232,349],"human":[28,88,337,350],"force":[29,89,117,124,143,222,234,252,338,351],"from":[30,91,122,235,352],"Electromyogram":[31],"(sEMG)":[32],"signals":[33,60,80,237],"for":[34,65,83,221],"rehabilitation":[35,272],"robotics.":[36],"Physiotherapists":[37],"believe,":[38],"make":[40],"a":[41,228],"precise":[42,87],"therapeutic":[43,51,68,84],"exercise,":[44],"we":[45],"need":[46,86],"and":[49,108,161,214,249,270,287],"perform":[50],"exercise":[52],"base":[53],"on":[54,101,292],"patient":[55],"muscle":[56,76],"activity.":[57,77],"Therefore,":[58,152],"sEMG":[59,79,236,282,353],"best":[63,190],"tool":[64],"using":[66],"in":[67,135,163,258,276,279,336],"robots":[69,85],"because":[70],"they":[71,194],"related":[73],"Using":[78],"as":[81,132,207,209,255,324,326],"input":[82],"estimation":[90],"sEMG.":[92],"Furthermore,":[93,278],"ANN":[95,185,219,289],"estimator":[96],"performance":[97],"is":[98,238,253,305,318],"highly":[99],"dependent":[100],"accuracy":[103,169],"target":[106,133,164,171,256],"date":[107],"setting":[109],"parameters.":[110],"Design/methodology/approach":[111],"In":[112,225,240],"previous":[114],"studies,":[115],"data,":[118],"collected":[121,286],"sensors":[125,144],"or":[126,145],"dynameters,":[127],"has":[128],"widely":[129],"been":[130],"data":[134,165,257,284],"training":[137,260],"phase":[138],"learning":[140],"ANN.":[141,303],"However,":[142,187],"dynameters":[146],"could":[147],"measure":[148],"only":[149],"contact":[150,157,251],"force.":[151],"authors":[154],"consider":[155],"force,":[158],"limb\u2019s":[159,247,265],"dynamic":[160],"time":[162],"increase":[167],"data.":[172],"Findings":[173],"There":[174],"plenty":[176],"algorithms":[178],"that":[179,343],"obtain":[183,321],"optimal":[184,310],"settings.":[186,312],"our":[192],"knowledge,":[193],"do":[195],"not":[196],"use":[197],"regression":[198],"analysis":[199,314],"model":[201,230,346],"effect":[203],"each":[205,330],"parameter,":[206,331],"well":[208,325],"contribution":[212,327],"percentage":[213,328],"significance":[215,322],"level":[216],"estimation.":[223,339],"Originality/value":[224],"this":[226,241,280],"paper,":[227,281],"new":[229],"presented.":[239],"method,":[242],"sum":[244],"dynamics":[248],"phase.":[261],"To":[262],"dynamics,":[266],"patient\u2019s":[268],"body":[269],"robot":[273],"modeled":[275],"OpenSim.":[277],"experimental":[283],"based":[291],"orthogonal":[294],"array":[295],"table":[297],"regulated":[299],"train":[301],"Taguchi":[304],"find":[308],"Next,":[313],"variance":[316],"technique":[317],"level,":[323],"optimize":[333],"ANN\u2019s":[334],"modeling":[335],"The":[340],"results":[341],"indicate":[342],"presented":[345],"can":[347],"precisely":[348],"signals.":[354]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
