{"id":"https://openalex.org/W2520323573","doi":"https://doi.org/10.1109/jbhi.2017.2679486","title":"Mobile Stride Length Estimation With Deep Convolutional Neural Networks","display_name":"Mobile Stride Length Estimation With Deep Convolutional Neural Networks","publication_year":2017,"publication_date":"2017-03-10","ids":{"openalex":"https://openalex.org/W2520323573","doi":"https://doi.org/10.1109/jbhi.2017.2679486","mag":"2520323573","pmid":"https://pubmed.ncbi.nlm.nih.gov/28333648"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2017.2679486","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2017.2679486","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1609.03321","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Julius Hannink","orcid":"https://orcid.org/0000-0002-9542-0694"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Julius Hannink","raw_affiliation_strings":["Department of Computer Science, Digital Sports Group,, University of Erlangen-N\u00fcrnberg (FAU), Erlangen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-9542-0694","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Digital Sports Group,, University of Erlangen-N\u00fcrnberg (FAU), Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Thomas Kautz","orcid":null},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Kautz","raw_affiliation_strings":["Department of Computer Science, Digital Sports Group,, University of Erlangen-N\u00fcrnberg (FAU), Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Digital Sports Group,, University of Erlangen-N\u00fcrnberg (FAU), Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Cristian F. Pasluosta","orcid":null},"institutions":[{"id":"https://openalex.org/I161046081","display_name":"University of Freiburg","ror":"https://ror.org/0245cg223","country_code":"DE","type":"education","lineage":["https://openalex.org/I161046081"]},{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Cristian F. Pasluosta","raw_affiliation_strings":["Department of Computer Science, Digital Sports Group,, University of Erlangen-N\u00fcrnberg (FAU), Erlangen, Germany","Laboratory for Biomedical Microtechnology, Department of Microsystems Engineering, University of Freiburg, Freiburg im Breisgau, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Digital Sports Group,, University of Erlangen-N\u00fcrnberg (FAU), Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Laboratory for Biomedical Microtechnology, Department of Microsystems Engineering, University of Freiburg, Freiburg im Breisgau, Germany","institution_ids":["https://openalex.org/I161046081"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jens Barth","orcid":null},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jens Barth","raw_affiliation_strings":["Department of Computer Science, Digital Sports Group,, University of Erlangen-N\u00fcrnberg (FAU), Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Digital Sports Group,, University of Erlangen-N\u00fcrnberg (FAU), Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Samuel Schulein","orcid":null},"institutions":[{"id":"https://openalex.org/I4210110576","display_name":"Malteser Waldkrankenhaus Erlangen","ror":"https://ror.org/01s0fdm87","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I4210110576"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Samuel Schulein","raw_affiliation_strings":["Geriatrics Centre Erlangen, Waldkrankenhaus St. Marien, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Geriatrics Centre Erlangen, Waldkrankenhaus St. Marien, Erlangen, Germany","institution_ids":["https://openalex.org/I4210110576"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Karl-Gunter Gassmann","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Karl-Gunter Gassmann","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Jochen Klucken","orcid":null},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]},{"id":"https://openalex.org/I4210088053","display_name":"Universit\u00e4tsklinikum Erlangen","ror":"https://ror.org/0030f2a11","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I4210088053"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jochen Klucken","raw_affiliation_strings":["Department of Molecular Neurology, University Hospital Erlangen, University of Erlangen-N\u00fcrnberg (FAU), Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Molecular Neurology, University Hospital Erlangen, University of Erlangen-N\u00fcrnberg (FAU), Erlangen, Germany","institution_ids":["https://openalex.org/I181369854","https://openalex.org/I4210088053"]}]},{"author_position":"last","author":{"id":null,"display_name":"Bjoern M. Eskofier","orcid":"https://orcid.org/0000-0002-0417-0336"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bjoern M. Eskofier","raw_affiliation_strings":["Department of Computer Science, Digital Sports Group,, University of Erlangen-N\u00fcrnberg (FAU), Erlangen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-0417-0336","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Digital Sports Group,, University of Erlangen-N\u00fcrnberg (FAU), Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I181369854"],"apc_list":null,"apc_paid":null,"fwci":21.1363,"has_fulltext":false,"cited_by_count":120,"citation_normalized_percentile":{"value":0.99540863,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"22","issue":"2","first_page":"354","last_page":"362"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.9660000205039978,"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":0.9660000205039978,"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/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.8580999970436096,"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":0.0333000011742115,"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/stride","display_name":"STRIDE","score":0.7120000123977661},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.623199999332428},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.5270000100135803},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.46869999170303345},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4230000078678131},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.34869998693466187},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.3176000118255615},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.30649998784065247}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7168999910354614},{"id":"https://openalex.org/C18007350","wikidata":"https://www.wikidata.org/wiki/Q7394815","display_name":"STRIDE","level":2,"score":0.7120000123977661},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.623199999332428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6189000010490417},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.5270000100135803},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.46869999170303345},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4230000078678131},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4196999967098236},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.34869998693466187},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.3176000118255615},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.30649998784065247},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2980000078678131},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.29750001430511475},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.2904999852180481},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2721000015735626},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.2709999978542328},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.26930001378059387},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.25929999351501465},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.25760000944137573}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005684","descriptor_name":"Gait","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005684","descriptor_name":"Gait","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005684","descriptor_name":"Gait","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016138","descriptor_name":"Walking","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D016138","descriptor_name":"Walking","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D016138","descriptor_name":"Walking","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/jbhi.2017.2679486","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2017.2679486","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:28333648","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28333648","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null},{"id":"pmh:oai:arXiv.org:1609.03321","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1609.03321","pdf_url":"https://arxiv.org/pdf/1609.03321","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1609.03321","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1609.03321","pdf_url":"https://arxiv.org/pdf/1609.03321","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1818931447","https://openalex.org/W1900048720","https://openalex.org/W1968583838","https://openalex.org/W1976628879","https://openalex.org/W1984020445","https://openalex.org/W1993293533","https://openalex.org/W2003080482","https://openalex.org/W2013337604","https://openalex.org/W2018482549","https://openalex.org/W2025383264","https://openalex.org/W2026479571","https://openalex.org/W2037825856","https://openalex.org/W2064996887","https://openalex.org/W2067581867","https://openalex.org/W2071015042","https://openalex.org/W2076428887","https://openalex.org/W2081833615","https://openalex.org/W2087048290","https://openalex.org/W2095705004","https://openalex.org/W2098193909","https://openalex.org/W2100495367","https://openalex.org/W2105382574","https://openalex.org/W2105506122","https://openalex.org/W2122365325","https://openalex.org/W2128885783","https://openalex.org/W2132279149","https://openalex.org/W2134670564","https://openalex.org/W2140978740","https://openalex.org/W2149354205","https://openalex.org/W2162908184","https://openalex.org/W2163971601","https://openalex.org/W2413782574","https://openalex.org/W2618530766","https://openalex.org/W2919115771","https://openalex.org/W6622239757","https://openalex.org/W6631190155","https://openalex.org/W6634506136","https://openalex.org/W6635909097","https://openalex.org/W6682889407","https://openalex.org/W6685626582"],"related_works":[],"abstract_inverted_index":{"OBJECTIVE:":[0],"Accurate":[1],"estimation":[2,48],"of":[3,26,80,120,149,165,194,207,215],"spatial":[4],"gait":[5,32,217],"characteristics":[6],"is":[7,68,88,155],"critical":[8],"to":[9,31,45,55,61,113,146,158,174,191,204],"assess":[10],"motor":[11],"impairments":[12],"resulting":[13,63],"from":[14,83,111],"neurological":[15,195],"or":[16,197],"musculoskeletal":[17],"disease.":[18],"Currently,":[19],"however,":[20],"methodological":[21,160],"constraints":[22],"limit":[23,163],"clinical":[24],"applicability":[25,164],"state-of-the-art":[27,134,166],"double":[28,167],"integration":[29,168],"approaches":[30],"patterns":[33],"with":[34,108,115],"a":[35,42,71,91],"clear":[36],"zero-velocity":[37],"phase.":[38],"METHODS:":[39],"We":[40],"describe":[41],"novel":[43],"approach":[44],"stride":[46,64,99,128,150,186,208],"length":[47,187],"that":[49,162],"uses":[50],"deep":[51],"convolutional":[52],"neural":[53],"networks":[54],"map":[56],"stride-specific":[57],"inertial":[58],"sensor":[59],"data":[60],"the":[62,138,147,152,159,178,192,205,227],"length.":[65],"The":[66,130],"model":[67],"trained":[69],"on":[70,127,137,177],"publicly":[72],"available":[73],"and":[74,95,118,225],"clinically":[75],"relevant":[76],"benchmark":[77,140,179],"dataset":[78,141],"consisting":[79],"1220":[81],"strides":[82,109],"101":[84],"geriatric":[85],"patients.":[86],"Evaluation":[87],"done":[89],"in":[90,213],"tenfold":[92],"cross":[93],"validation":[94],"for":[96],"three":[97],"different":[98],"definitions.":[100],"RESULTS:":[101],"Even":[102],"though":[103],"best":[104],"results":[105],"are":[106],"achieved":[107,131],"defined":[110],"midstance":[112,114],"average":[116],"accuracy":[117],"precision":[119,132,176],",":[121],"performance":[122],"does":[123],"not":[124,156],"strongly":[125],"depend":[126],"definition.":[129],"outperforms":[133],"methods":[135],"evaluated":[136],"same":[139],"by":[142,223],".":[143],"CONCLUSION:":[144],"Due":[145,203],"independence":[148,206],"definition,":[151,209],"proposed":[153,228],"method":[154],"subject":[157],"constrains":[161],"methods.":[169],"Furthermore,":[170],"it":[171],"was":[172],"possible":[173],"improve":[175],"dataset.":[180],"SIGNIFICANCE:":[181],"With":[182],"more":[183],"precise":[184],"mobile":[185,216],"estimation,":[188],"new":[189],"insights":[190],"progression":[193],"disease":[196],"early":[198],"indications":[199],"might":[200],"be":[201,221],"gained.":[202],"previously":[210],"uncharted":[211],"diseases":[212],"terms":[214],"analysis":[218],"can":[219],"now":[220],"investigated":[222],"retraining":[224],"applying":[226],"method.":[229]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2016-09-23T00:00:00"}
