{"id":"https://openalex.org/W4225110334","doi":"https://doi.org/10.1109/tbme.2022.3170850","title":"Deep Learning: Predicting Environments From Short-Time Observations of Postural Balance.","display_name":"Deep Learning: Predicting Environments From Short-Time Observations of Postural Balance.","publication_year":2022,"publication_date":"2022-11-01","ids":{"openalex":"https://openalex.org/W4225110334","doi":"https://doi.org/10.1109/tbme.2022.3170850","pmid":"https://pubmed.ncbi.nlm.nih.gov/35476578"},"language":"en","primary_location":{"id":"pmid:35476578","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35476578","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 transactions on bio-medical engineering","raw_type":null},"type":"article","indexed_in":["pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9812735","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001856387","display_name":"V.H. Giang Phan","orcid":"https://orcid.org/0000-0002-0866-8131"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vu Phan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5049280323","display_name":"Hyunglae Lee","orcid":"https://orcid.org/0000-0003-3853-510X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hyunglae Lee","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02286292,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"69","issue":"11","first_page":"3460","last_page":"3471"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.5227000117301941,"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"}},"topics":[{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.5227000117301941,"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"}},{"id":"https://openalex.org/T11023","display_name":"Prosthetics and Rehabilitation Robotics","score":0.24969999492168427,"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":0.08079999685287476,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7720698118209839},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7211453914642334},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7108145356178284},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6797046065330505},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6514553427696228},{"id":"https://openalex.org/keywords/exoskeleton","display_name":"Exoskeleton","score":0.5799506306648254},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5699835419654846},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.44692936539649963},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3336963653564453},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32453930377960205}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7720698118209839},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7211453914642334},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7108145356178284},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6797046065330505},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6514553427696228},{"id":"https://openalex.org/C146549078","wikidata":"https://www.wikidata.org/wiki/Q191944","display_name":"Exoskeleton","level":2,"score":0.5799506306648254},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5699835419654846},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.44692936539649963},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3336963653564453},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32453930377960205},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine 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":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004856","descriptor_name":"Postural Balance","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004856","descriptor_name":"Postural Balance","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004856","descriptor_name":"Postural Balance","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":"D006801","descriptor_name":"Humans","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":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","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":false}],"locations_count":2,"locations":[{"id":"pmid:35476578","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35476578","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 transactions on bio-medical engineering","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:9812735","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9812735","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Biomed Eng","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:9812735","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9812735","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Biomed Eng","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3519259894","display_name":null,"funder_award_id":"R01AR080826","funder_id":"https://openalex.org/F4320337362","funder_display_name":"National Institute of Arthritis and Musculoskeletal and Skin Diseases"},{"id":"https://openalex.org/G6495417296","display_name":null,"funder_award_id":"R01AR080826","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320309835","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337362","display_name":"National Institute of Arthritis and Musculoskeletal and Skin Diseases","ror":"https://ror.org/006zn3t30"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W9190101","https://openalex.org/W1679810","https://openalex.org/W17411213","https://openalex.org/W4275953","https://openalex.org/W16066671","https://openalex.org/W18637838","https://openalex.org/W13538861","https://openalex.org/W17658120","https://openalex.org/W11300528","https://openalex.org/W8787759"],"abstract_inverted_index":{"OBJECTIVE:":[0],"This":[1,212],"study":[2,213],"introduces":[3],"a":[4],"deep":[5],"learning":[6,81,122,166],"approach":[7],"to":[8,26,46,60,207,215],"accurately":[9,195],"predict":[10,47],"challenging":[11],"mechanical":[12],"environments":[13,29,174,197],"that":[14,77,153],"possibly":[15],"cause":[16],"decreasing":[17],"postural":[18,112],"stability.":[19],"METHODS:":[20],"Dual-axis":[21],"robotic":[22],"platforms":[23],"were":[24,58],"utilized":[25],"simulate":[27],"various":[28],"and":[30,36,194,221,227,233],"collect":[31],"center-of-pressure":[32],"data":[33,88,93,127,180],"during":[34],"narrow":[35],"wide":[37],"stance.":[38],"A":[39],"convolutional":[40],"neural":[41],"network":[42],"(CNN)":[43],"was":[44,73,94],"developed":[45],"environmental":[48,163,231],"conditions":[49],"given":[50],"segmented":[51],"time-series":[52],"balance":[53],"data.":[54,202],"Different":[55],"window":[56],"sizes":[57],"examined":[59],"investigate":[61],"its":[62],"minimal":[63],"length":[64,111,128],"for":[65],"reliable":[66],"prediction.":[67],"Effectiveness":[68],"of":[69,78,136,159,191,218],"the":[70,104,134,161,189,216],"presented":[71],"CNN":[72,99,137,154,187],"additionally":[74],"compared":[75],"with":[76,85,109,176,182,200],"conventional":[79],"machine":[80,121],"models.":[82],"Its":[83],"applicability":[84],"low":[86],"sampled":[87,179],"or":[89,181],"more":[90,157],"natural":[91],"stance":[92],"then":[95],"evaluated.":[96],"RESULTS:":[97],"The":[98],"achieved":[100,118],"above":[101],"94.5%":[102],"in":[103,172],"overall":[105],"prediction":[106],"accuracy":[107,135],"even":[108,175],"2.5-second":[110],"sway":[113],"data,":[114],"which":[115],"cannot":[116],"be":[117],"by":[119,229],"traditional":[120],"(ps":[123],"<":[124],"0.05).":[125],"Increasing":[126],"beyond":[129],"2.5":[130],"seconds":[131],"slightly":[132],"improved":[133],"but":[138],"substantially":[139],"increased":[140],"training":[141],"time":[142],"(60%":[143],"longer).":[144],"Importantly,":[145],"results":[146],"from":[147],"averaged":[148],"normalized":[149],"confusion":[150],"matrices":[151],"revealed":[152],"is":[155],"much":[156,177],"capable":[158],"differentiating":[160],"mid-level":[162],"condition.":[164],"Deep":[165],"could":[167],"also":[168,204],"produce":[169],"comparable":[170],"performance":[171],"predicting":[173,230],"lower":[178],"standing":[183],"posture":[184],"changed.":[185],"CONCLUSION:":[186],"removed":[188],"burden":[190],"feature":[192],"preparation":[193],"predicted":[196],"when":[198],"dealing":[199],"short-length":[201],"It":[203],"indicated":[205],"potentials":[206],"real":[208],"life":[209],"applications.":[210],"SIGNIFICANCE:":[211],"contributes":[214],"advancement":[217],"wearable":[219],"devices":[220],"human":[222],"interactive":[223],"robots":[224],"(e.g.,":[225],"exoskeletons":[226],"prostheses)":[228],"contexts":[232],"preventing":[234],"potential":[235],"falls.":[236]},"counts_by_year":[],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2022-04-30T00:00:00"}
