{"id":"https://openalex.org/W2766470858","doi":"https://doi.org/10.23919/eusipco.2017.8081163","title":"A robust algorithm for gait cycle segmentation","display_name":"A robust algorithm for gait cycle segmentation","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2766470858","doi":"https://doi.org/10.23919/eusipco.2017.8081163","mag":"2766470858"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2017.8081163","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2017.8081163","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5051224603","display_name":"Shuo Jiang","orcid":"https://orcid.org/0000-0003-3645-6301"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Shuo Jiang","raw_affiliation_strings":["Institute of Automation, University of Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, University of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068433697","display_name":"Xingchen Wang","orcid":"https://orcid.org/0000-0001-5316-789X"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Xingchen Wang","raw_affiliation_strings":["Institute of Automation, University of Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, University of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059487972","display_name":"Maria Kyrarini","orcid":"https://orcid.org/0000-0003-0968-2477"},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Maria Kyrarini","raw_affiliation_strings":["Institute of Automation, University of Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, University of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110553308","display_name":"Axel Gr\u00e4ser","orcid":null},"institutions":[{"id":"https://openalex.org/I180437899","display_name":"University of Bremen","ror":"https://ror.org/04ers2y35","country_code":"DE","type":"education","lineage":["https://openalex.org/I180437899"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Axel Graser","raw_affiliation_strings":["Institute of Automation, University of Bremen, Bremen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, University of Bremen, Bremen, Germany","institution_ids":["https://openalex.org/I180437899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I180437899"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"31","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.9990000128746033,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9983999729156494,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/gait-cycle","display_name":"Gait cycle","score":0.6949031352996826},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6824617385864258},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.5601541996002197},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5414753556251526},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5229145288467407},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5228374600410461},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4156820476055145},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39493727684020996},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.18585583567619324},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.08776533603668213},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.06242331862449646}],"concepts":[{"id":"https://openalex.org/C2985215115","wikidata":"https://www.wikidata.org/wiki/Q22305006","display_name":"Gait cycle","level":3,"score":0.6949031352996826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6824617385864258},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.5601541996002197},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5414753556251526},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5229145288467407},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5228374600410461},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4156820476055145},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39493727684020996},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.18585583567619324},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.08776533603668213},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.06242331862449646},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco.2017.8081163","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2017.8081163","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1527496966","https://openalex.org/W1990279416","https://openalex.org/W2066825169","https://openalex.org/W2118991043","https://openalex.org/W2146362558","https://openalex.org/W2219009532","https://openalex.org/W2281541333","https://openalex.org/W2516306526","https://openalex.org/W2593277689","https://openalex.org/W3156744082"],"related_works":["https://openalex.org/W2390475535","https://openalex.org/W2611160909","https://openalex.org/W3017911271","https://openalex.org/W2913503957","https://openalex.org/W2600139093","https://openalex.org/W4244219172","https://openalex.org/W2147467411","https://openalex.org/W2891414412","https://openalex.org/W2069995641","https://openalex.org/W2390631805"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,14,75],"robust":[4],"algorithm":[5,20,48,85,116],"for":[6,77],"gait":[7,33,39,54,89,108,119],"cycle":[8],"segmentation":[9,102],"is":[10,21,29,72,86],"proposed":[11,19,84,115],"based":[12],"on":[13,88,104],"peak":[15,130],"detection":[16,131],"approach.":[17],"The":[18,46,66,83,101],"less":[22],"influenced":[23],"by":[24,56],"noise":[25],"and":[26,28,61,122],"outliers":[27],"capable":[30],"of":[31,38,68,81,91,107,113],"segmenting":[32],"cycles":[34,55,120],"from":[35,98],"different":[36,43],"types":[37,106],"signals":[40,90,109],"recorded":[41],"using":[42],"sensor":[44],"systems.":[45],"presented":[47],"has":[49],"enhanced":[50],"ability":[51],"to":[52,117],"segment":[53,118],"eliminating":[57],"the":[58,63,79,111,114,128],"false":[59],"peaks":[60],"interpolating":[62],"missing":[64],"peaks.":[65],"variance":[67],"segmented":[69],"cycles'":[70],"lengths":[71],"computed":[73],"as":[74],"criterion":[76],"evaluating":[78],"performance":[80,126],"segmentation.":[82],"tested":[87],"patients":[92],"diagnosed":[93],"with":[94],"Parkinson's":[95],"disease":[96],"collected":[97],"three":[99,105],"databases.":[100],"results":[103],"demonstrate":[110],"capability":[112],"accurately,":[121],"have":[123],"achieved":[124],"better":[125],"than":[127],"original":[129],"methods.":[132]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}