{"id":"https://openalex.org/W4415974241","doi":"https://doi.org/10.1016/j.procs.2025.09.196","title":"Explainable Deep Learning Framework for Classification of Total Hip Arthroplasty Gaits","display_name":"Explainable Deep Learning Framework for Classification of Total Hip Arthroplasty Gaits","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415974241","doi":"https://doi.org/10.1016/j.procs.2025.09.196"},"language":"en","primary_location":{"id":"doi:10.1016/j.procs.2025.09.196","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.09.196","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1016/j.procs.2025.09.196","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078650001","display_name":"Roel Pantonial","orcid":null},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Roel Pantonial","raw_affiliation_strings":["School of Engineering, RMIT University, Melbourne 3000, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering, RMIT University, Melbourne 3000, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064975236","display_name":"Milan Simi\u0107","orcid":"https://orcid.org/0000-0002-3403-4765"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Milan Simic","raw_affiliation_strings":["School of Engineering, RMIT University, Melbourne 3000, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering, RMIT University, Melbourne 3000, Australia","institution_ids":["https://openalex.org/I82951845"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078650001"],"corresponding_institution_ids":["https://openalex.org/I82951845"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.52809695,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"270","issue":null,"first_page":"762","last_page":"771"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10562","display_name":"Total Knee Arthroplasty Outcomes","score":0.6700000166893005,"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":0.6700000166893005,"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/T10512","display_name":"Orthopaedic implants and arthroplasty","score":0.08399999886751175,"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/T11218","display_name":"Hip disorders and treatments","score":0.04479999840259552,"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/kinematics","display_name":"Kinematics","score":0.8411999940872192},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.7771000266075134},{"id":"https://openalex.org/keywords/sagittal-plane","display_name":"Sagittal plane","score":0.6969000101089478},{"id":"https://openalex.org/keywords/gait-analysis","display_name":"Gait analysis","score":0.526199996471405},{"id":"https://openalex.org/keywords/ankle","display_name":"Ankle","score":0.45660001039505005},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3840999901294708},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.3684999942779541}],"concepts":[{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.8411999940872192},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.7771000266075134},{"id":"https://openalex.org/C178910020","wikidata":"https://www.wikidata.org/wiki/Q2211994","display_name":"Sagittal plane","level":2,"score":0.6969000101089478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6888999938964844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5501000285148621},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.526199996471405},{"id":"https://openalex.org/C2778640784","wikidata":"https://www.wikidata.org/wiki/Q168002","display_name":"Ankle","level":2,"score":0.45660001039505005},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.38839998841285706},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3840999901294708},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.3684999942779541},{"id":"https://openalex.org/C2985215115","wikidata":"https://www.wikidata.org/wiki/Q22305006","display_name":"Gait cycle","level":3,"score":0.3278999924659729},{"id":"https://openalex.org/C2776164576","wikidata":"https://www.wikidata.org/wiki/Q62736","display_name":"Osteoarthritis","level":3,"score":0.3208000063896179},{"id":"https://openalex.org/C2777248721","wikidata":"https://www.wikidata.org/wiki/Q174647","display_name":"Heel","level":2,"score":0.3140000104904175},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3124000132083893},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29490000009536743},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2827000021934509},{"id":"https://openalex.org/C3019025420","wikidata":"https://www.wikidata.org/wiki/Q32333487","display_name":"Total hip arthroplasty","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C170700871","wikidata":"https://www.wikidata.org/wiki/Q193378","display_name":"Biomechanics","level":2,"score":0.26080000400543213},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.procs.2025.09.196","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.09.196","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.procs.2025.09.196","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.09.196","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1976794129","https://openalex.org/W2009011310","https://openalex.org/W2010572619","https://openalex.org/W2025969050","https://openalex.org/W2076138257","https://openalex.org/W2084292255","https://openalex.org/W2097117768","https://openalex.org/W2102365050","https://openalex.org/W2282821441","https://openalex.org/W2618530766","https://openalex.org/W2919115771","https://openalex.org/W2962858109","https://openalex.org/W2965209087","https://openalex.org/W2986768922","https://openalex.org/W3047228793","https://openalex.org/W4283774462","https://openalex.org/W4285090686","https://openalex.org/W4288049693","https://openalex.org/W4382203139","https://openalex.org/W4392886273","https://openalex.org/W4395659501","https://openalex.org/W4404835223","https://openalex.org/W4406489219"],"related_works":[],"abstract_inverted_index":{"Application":[0],"of":[1,9,20,36,62,72,80,90,145,183,205,222,242,248,268],"clinical":[2,279],"gait":[3,38,81,138,176,213],"analysis":[4],"(CGA)":[5],"in":[6,17,77,143,187,288],"the":[7,18,37,59,70,78,106,116,150,161,166,184,188,194,199,206,211,223,229,243,249,257,269],"evaluation":[8],"Hip":[10],"Osteoarthritis":[11],"(HOA)":[12],"is":[13,52,101,113,122,165,261],"a":[14,97,282],"crucial":[15,289],"step":[16],"identification":[19],"functional":[21],"abnormalities":[22],"and":[23,47,84,96,148,181,208,266,281,296],"surgical":[24],"planning":[25],"through":[26,124],"total":[27],"hip":[28,163],"arthroplasty":[29],"(THA).":[30],"Measured":[31],"kinematic":[32,88,169,231],"parameters":[33,89],"provide":[34],"understanding":[35,267],"patterns":[39,82],"that":[40,134],"can":[41],"be":[42],"used":[43],"for":[44,54,157,218,235,284,292],"accurate":[45],"diagnostics":[46],"personalized":[48],"rehabilitation.":[49],"Streamlined":[50],"approach":[51],"essential":[53],"efficient":[55],"assessment":[56],"due":[57],"to":[58,68,105,130,239],"substantial":[60],"amount":[61],"data":[63,99],"generated.":[64],"This":[65],"study":[66],"aims":[67],"explore":[69],"use":[71],"Deep":[73],"Learning":[74],"(DL)":[75],"methodology":[76],"classification":[79,111],"before":[83,295],"after":[85,297],"THA.":[86,298],"All":[87,179],"both":[91],"lower":[92],"limbs":[93],"are":[94,141,155,215,233],"aggregated,":[95],"2-dimensional":[98],"representation":[100],"acquired":[102,254],"as":[103],"input":[104,132,258],"DL":[107,270],"model.":[108,271],"The":[109,202],"best":[110,135],"accuracy":[112,273],"98.2%":[114],"from":[115,174,256],"test":[117,189],"subset.":[118],"Consequently,":[119],"model":[120],"prediction":[121],"explained":[123],"Local":[125],"Interpretable":[126],"Model-Agnostic":[127],"Explanation":[128],"(LIME)":[129],"determine":[131],"features":[133,154,253],"distinguish":[136],"between":[137],"classes.":[139],"Features":[140],"ranked":[142],"terms":[144],"their":[146],"relevancy,":[147],"only":[149],"most":[151,167],"common":[152],"discriminating":[153],"considered":[156],"further":[158],"analysis.":[159],"Generally,":[160],"sagittal":[162,203],"angle":[164],"significant":[168],"parameter":[170],"across":[171],"classes,":[172],"albeit":[173],"different":[175],"cycle":[177],"events.":[178],"healthy":[180],"75%":[182],"HOA":[185,219,293],"gaits":[186,224,250],"subset":[190],"exhibit":[191],"discrimination":[192],"on":[193],"single":[195],"limb":[196],"support":[197],"towards":[198],"swing":[200],"phase.":[201],"angles":[204,232],"knee":[207],"ankle":[209],"during":[210],"same":[212,230],"events":[214],"also":[216],"discriminatory":[217],"with":[220,246,276],"72%":[221],"exhibiting":[225],"such":[226],"feature.":[227],"Additionally,":[228],"important":[234],"THA":[236],"class":[237],"prior":[238],"heel":[240],"rise":[241],"stance":[244],"phase":[245],"85%":[247],"examined.":[251],"With":[252],"directly":[255],"data,":[259],"explanation":[260],"more":[262],"transparent":[263],"promoting":[264],"trust":[265],"High":[272],"scores":[274],"coupled":[275],"explainability":[277],"showcases":[278],"relevance":[280],"potential":[283],"aiding":[285],"medical":[286],"experts":[287],"decision":[290],"making":[291],"patients":[294]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-06T00:00:00"}
