{"id":"https://openalex.org/W7131125647","doi":"https://doi.org/10.1109/robio66223.2025.11377480","title":"An IMU-Based Gait Event Detection Algorithm for Post-Stroke Individuals","display_name":"An IMU-Based Gait Event Detection Algorithm for Post-Stroke Individuals","publication_year":2025,"publication_date":"2025-12-03","ids":{"openalex":"https://openalex.org/W7131125647","doi":"https://doi.org/10.1109/robio66223.2025.11377480"},"language":null,"primary_location":{"id":"doi:10.1109/robio66223.2025.11377480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio66223.2025.11377480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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/A5126641714","display_name":"Yunhan Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunhan Wu","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Beihang University,Beijing,China,100191"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Beihang University,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126629926","display_name":"Danqiang An","orcid":null},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]},{"id":"https://openalex.org/I4210127599","display_name":"Xiyuan Hospital","ror":"https://ror.org/02y0vze35","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210127599"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danqiang An","raw_affiliation_strings":["Xiyuan Hospital of China Academy of Chinese Medical Sciences,Beijing,China,100191"],"affiliations":[{"raw_affiliation_string":"Xiyuan Hospital of China Academy of Chinese Medical Sciences,Beijing,China,100191","institution_ids":["https://openalex.org/I200296433","https://openalex.org/I4210127599"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100326145","display_name":"Yujing Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I2802939634","display_name":"Chinese PLA General Hospital","ror":"https://ror.org/04gw3ra78","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802939634"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujing Zhang","raw_affiliation_strings":["Eighth Medical Center of Chinese PLA General Hospital,Beijing,China,100039"],"affiliations":[{"raw_affiliation_string":"Eighth Medical Center of Chinese PLA General Hospital,Beijing,China,100039","institution_ids":["https://openalex.org/I2802939634"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126590878","display_name":"Ruohan Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruohan Yang","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Beihang University,Beijing,China,100191"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Beihang University,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070956484","display_name":"Di Shi","orcid":"https://orcid.org/0000-0003-3660-2305"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Shi","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Beihang University,Beijing,China,100191"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Beihang University,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068494352","display_name":"Yanggang Feng","orcid":"https://orcid.org/0000-0001-6161-3394"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanggang Feng","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Beihang University,Beijing,China,100191"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Beihang University,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126646968","display_name":"Chengcai Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengcai Wang","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Beihang University,Beijing,China,100191"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Beihang University,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126658656","display_name":"Wuxiang Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wuxiang Zhang","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Beihang University,Beijing,China,100191"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Beihang University,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5126641714"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.61431073,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1991","last_page":"1997"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.3303000032901764,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.3303000032901764,"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/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.2232999950647354,"subfield":{"id":"https://openalex.org/subfields/3612","display_name":"Physical Therapy, Sports Therapy and Rehabilitation"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.061000000685453415,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/gait","display_name":"Gait","score":0.7184000015258789},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.5270000100135803},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.46399998664855957},{"id":"https://openalex.org/keywords/gait-analysis","display_name":"Gait analysis","score":0.40560001134872437},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.4034000039100647},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.392300009727478},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.3806000053882599},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.3702999949455261},{"id":"https://openalex.org/keywords/jerk","display_name":"Jerk","score":0.36890000104904175}],"concepts":[{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.7184000015258789},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.544700026512146},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.5270000100135803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4932999908924103},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.46399998664855957},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.40560001134872437},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.4034000039100647},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.392300009727478},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.3806000053882599},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.3702999949455261},{"id":"https://openalex.org/C181605269","wikidata":"https://www.wikidata.org/wiki/Q497332","display_name":"Jerk","level":3,"score":0.36890000104904175},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.3675000071525574},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.36640000343322754},{"id":"https://openalex.org/C146549078","wikidata":"https://www.wikidata.org/wiki/Q191944","display_name":"Exoskeleton","level":2,"score":0.36250001192092896},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3379000127315521},{"id":"https://openalex.org/C293773","wikidata":"https://www.wikidata.org/wiki/Q7608015","display_name":"Step detection","level":3,"score":0.3377000093460083},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.328000009059906},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.32170000672340393},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.302700012922287},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.2971000075340271},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2849999964237213},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.2800999879837036},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.2766999900341034},{"id":"https://openalex.org/C70770792","wikidata":"https://www.wikidata.org/wiki/Q7239848","display_name":"Preferred walking speed","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C20220851","wikidata":"https://www.wikidata.org/wiki/Q18206750","display_name":"Effect of gait parameters on energetic cost","level":4,"score":0.2694999873638153},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26669999957084656},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio66223.2025.11377480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio66223.2025.11377480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality","score":0.5956370830535889}],"awards":[{"id":"https://openalex.org/G2756477034","display_name":null,"funder_award_id":"52205004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1633785340","https://openalex.org/W1870825989","https://openalex.org/W1988110563","https://openalex.org/W2005886534","https://openalex.org/W2025969050","https://openalex.org/W2071179264","https://openalex.org/W2162908184","https://openalex.org/W2601471451","https://openalex.org/W2619375121","https://openalex.org/W2744548340","https://openalex.org/W2888531427","https://openalex.org/W2954210324","https://openalex.org/W2970489687","https://openalex.org/W3002741736","https://openalex.org/W3042836088","https://openalex.org/W3099388394","https://openalex.org/W3154710845","https://openalex.org/W4200486315","https://openalex.org/W4231229155","https://openalex.org/W4313213879","https://openalex.org/W4390410818","https://openalex.org/W4390638880","https://openalex.org/W4391433158","https://openalex.org/W4396623614","https://openalex.org/W4399783759","https://openalex.org/W4400037585","https://openalex.org/W4402282173","https://openalex.org/W4402623229","https://openalex.org/W4405627153","https://openalex.org/W4405850055","https://openalex.org/W4408771457"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"detection":[1,47,55,159],"of":[2,22],"gait":[3,26,45,53,87,116,142,163,178,189],"events":[4,106],"is":[5,93,101],"crucial":[6],"for":[7,34,139,177],"rehabilitation":[8],"training":[9],"and":[10,24,72,79,98,122,135,145,169,187],"assistive":[11,182],"device":[12],"control":[13,183],"in":[14,28,132,158,184,191],"individuals":[15],"with":[16],"post-stroke":[17],"hemiparesis.":[18],"However,":[19],"the":[20,96,151,155,172],"presence":[21],"irregular":[23],"pathological":[25,162],"patterns":[27],"this":[29],"population":[30],"poses":[31],"significant":[32,156],"challenges":[33],"reliable":[35],"event":[36,46,54],"recognition.":[37],"To":[38],"address":[39],"this,":[40],"we":[41],"propose":[42],"an":[43,81],"improved":[44],"algorithm":[48,56,99],"(IGEDA)":[49],"based":[50],"on":[51,114],"Bae's":[52],"(BGEDA).":[57],"The":[58,90],"method":[59,174],"utilizes":[60],"foot-mounted":[61],"inertial":[62],"measurement":[63],"unit":[64],"(IMU)":[65],"signals,":[66],"incorporating":[67],"fused":[68],"biaxial":[69],"linear":[70],"acceleration":[71],"jerk":[73],"signals":[74],"as":[75],"auxiliary":[76],"motion":[77],"features,":[78],"introduces":[80],"adaptive":[82],"thresholding":[83],"mechanism":[84],"to":[85],"accommodate":[86],"cycle":[88],"variability.":[89],"IMU":[91],"sensor":[92],"positioned":[94],"at":[95],"heel,":[97],"performance":[100],"quantitatively":[102],"validated":[103],"against":[104],"reference":[105],"identified":[107],"from":[108,118],"plantar":[109],"pressure":[110],"sensors.":[111],"Experiments":[112],"conducted":[113],"multi-cycle":[115],"data":[117],"seven":[119,123],"healthy":[120],"subjects":[121],"stroke":[124,192],"patients":[125],"demonstrate":[126],"that":[127],"IGEDA":[128],"outperforms":[129],"benchmark":[130],"algorithms":[131],"recall,":[133],"precision,":[134],"mean":[136],"temporal":[137],"error":[138],"detecting":[140],"key":[141],"events-Heel-Strike":[143],"(HS)":[144],"Toe-Off":[146],"(TO).":[147],"Statistical":[148],"analysis":[149],"using":[150],"Wilcoxon-Mann-Whitney":[152],"test":[153],"confirms":[154],"improvements":[157],"accuracy":[160],"under":[161],"conditions.":[164],"With":[165],"its":[166],"strong":[167],"generalizability":[168],"real-time":[170],"performance,":[171],"proposed":[173],"holds":[175],"promise":[176],"phase":[179],"recognition,":[180],"personalized":[181],"wearable":[185],"devices,":[186],"long-term":[188],"monitoring":[190],"rehabilitation.":[193]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-02-24T00:00:00"}