{"id":"https://openalex.org/W3019513949","doi":"https://doi.org/10.1109/civemsa45640.2019.9071611","title":"Knee medial loading evaluation in walking state via multiple predictors","display_name":"Knee medial loading evaluation in walking state via multiple predictors","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W3019513949","doi":"https://doi.org/10.1109/civemsa45640.2019.9071611","mag":"3019513949"},"language":"en","primary_location":{"id":"doi:10.1109/civemsa45640.2019.9071611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/civemsa45640.2019.9071611","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","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/A5100613534","display_name":"Shufeng Zhang","orcid":"https://orcid.org/0000-0002-9252-2986"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shufeng Zhang","raw_affiliation_strings":["College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100691839","display_name":"Rui Xu","orcid":"https://orcid.org/0000-0003-2298-7582"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Xu","raw_affiliation_strings":["College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002174803","display_name":"Zhicai Li","orcid":"https://orcid.org/0000-0003-1022-9151"},"institutions":[{"id":"https://openalex.org/I5740404","display_name":"Tianjin Medical University","ror":"https://ror.org/02mh8wx89","country_code":"CN","type":"education","lineage":["https://openalex.org/I5740404"]},{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhicai Li","raw_affiliation_strings":["Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I5740404","https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110600745","display_name":"Xin Zhao","orcid":"https://orcid.org/0000-0001-7420-5111"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zhao","raw_affiliation_strings":["College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011769657","display_name":"Dong Ming","orcid":"https://orcid.org/0000-0002-8192-2538"},"institutions":[{"id":"https://openalex.org/I5740404","display_name":"Tianjin Medical University","ror":"https://ror.org/02mh8wx89","country_code":"CN","type":"education","lineage":["https://openalex.org/I5740404"]},{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Ming","raw_affiliation_strings":["Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I5740404","https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100613534"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30489965,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10562","display_name":"Total Knee Arthroplasty Outcomes","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10562","display_name":"Total Knee Arthroplasty Outcomes","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10105","display_name":"Osteoarthritis Treatment and Mechanisms","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2745","display_name":"Rheumatology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10442","display_name":"Knee injuries and reconstruction techniques","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/knee-flexion","display_name":"Knee flexion","score":0.610444188117981},{"id":"https://openalex.org/keywords/pearson-product-moment-correlation-coefficient","display_name":"Pearson product-moment correlation coefficient","score":0.5568265318870544},{"id":"https://openalex.org/keywords/knee-joint","display_name":"Knee Joint","score":0.5400609970092773},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5399726629257202},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5317261219024658},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.5117311477661133},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4910593032836914},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4126778542995453},{"id":"https://openalex.org/keywords/orthodontics","display_name":"Orthodontics","score":0.39009618759155273},{"id":"https://openalex.org/keywords/physical-therapy","display_name":"Physical therapy","score":0.37019985914230347},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2962546646595001},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21226727962493896},{"id":"https://openalex.org/keywords/surgery","display_name":"Surgery","score":0.10677209496498108}],"concepts":[{"id":"https://openalex.org/C2987592631","wikidata":"https://www.wikidata.org/wiki/Q2910873","display_name":"Knee flexion","level":2,"score":0.610444188117981},{"id":"https://openalex.org/C55078378","wikidata":"https://www.wikidata.org/wiki/Q1136628","display_name":"Pearson product-moment correlation coefficient","level":2,"score":0.5568265318870544},{"id":"https://openalex.org/C2908736133","wikidata":"https://www.wikidata.org/wiki/Q37425","display_name":"Knee Joint","level":2,"score":0.5400609970092773},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5399726629257202},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5317261219024658},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.5117311477661133},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4910593032836914},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4126778542995453},{"id":"https://openalex.org/C29694066","wikidata":"https://www.wikidata.org/wiki/Q118301","display_name":"Orthodontics","level":1,"score":0.39009618759155273},{"id":"https://openalex.org/C1862650","wikidata":"https://www.wikidata.org/wiki/Q186005","display_name":"Physical therapy","level":1,"score":0.37019985914230347},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2962546646595001},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21226727962493896},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.10677209496498108},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/civemsa45640.2019.9071611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/civemsa45640.2019.9071611","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3013810674","https://openalex.org/W1992318214","https://openalex.org/W3111706109","https://openalex.org/W2411532539","https://openalex.org/W48935989","https://openalex.org/W2038897217","https://openalex.org/W4200439127","https://openalex.org/W2344731424","https://openalex.org/W2436218109","https://openalex.org/W2774201806"],"abstract_inverted_index":{"Objective:":[0],"Knee":[1],"medial":[2,39,87,196],"loading":[3,197],"is":[4,46,172],"one":[5],"of":[6,37,43,52,137,191,194,206],"the":[7,35,38,119,134,138,142,154,189,192,204],"most":[8],"important":[9],"biomechanical":[10],"variables":[11],"for":[12,68,160,176,198],"knee":[13,20,25,86,195,207],"joint":[14],"diseases.":[15],"Some":[16],"easily-obtained":[17],"variables,":[18],"including":[19],"adduction/flexion":[21],"moment":[22],"(KAM/KFM)":[23],"and":[24,65,92,102,169,200],"adduction":[26],"angle":[27],"(KAA)":[28],"separately,":[29],"have":[30],"been":[31],"proposed":[32],"to":[33,47,84,117,146,202],"indicate":[34],"variability":[36],"loading.":[40],"The":[41,148],"purpose":[42],"this":[44,60],"study":[45],"undertake":[48],"an":[49],"informed":[50],"evaluation":[51,162,178,193],"these":[53],"predictors":[54],"in":[55,72,129],"walking":[56,130],"task.":[57],"Methods:":[58],"In":[59],"study,":[61],"we":[62],"collected":[63],"motion":[64],"kinetic":[66],"data":[67],"16":[69],"healthy":[70],"subjects":[71],"straight":[73,180],"walking.":[74,164],"A":[75],"previously":[76],"validated":[77],"musculoskeletal":[78],"model":[79],"Freebody":[80],"2.1":[81],"was":[82,115,125],"used":[83,116],"calculated":[85],"force":[88],"(KMF),":[89],"KAM,":[90,100],"KFM":[91,101],"KAA.":[93],"Linear":[94],"regression":[95,139],"models":[96,140],"were":[97,108],"established":[98],"when":[99],"KAA":[103,124,171],"at":[104],"peak":[105],"KAM":[106,168],"timing":[107],"successively":[109],"added":[110],"as":[111],"predictors.":[112,122],"Correlation":[113],"analysis":[114,150],"explore":[118],"relationship":[120],"between":[121],"Results:":[123],"a":[126,173],"significant":[127,174],"predictor":[128,175],"state,":[131],"which":[132],"improved":[133],"fit":[135],"effect":[136],"with":[141,167],"adjusted":[143],"R2":[144],"increasing":[145],"0.809.":[147],"correlation":[149],"revealed":[151],"that":[152],"all":[153],"three":[155],"indicators":[156],"provided":[157],"unique":[158],"information":[159],"KMF":[161,177],"during":[163,179],"Conclusion:":[165],"Together":[166],"KFM,":[170],"walk":[181],"state.":[182],"Significance:":[183],"These":[184],"findings":[185],"will":[186],"help":[187],"improve":[188],"accuracy":[190],"clinicians":[199],"researchers":[201],"predict":[203],"risks":[205],"degeneration.":[208]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
