{"id":"https://openalex.org/W3091010670","doi":"https://doi.org/10.3390/e22101097","title":"Estimating Postural Stability Using Improved Permutation Entropy via TUG Accelerometer Data for Community-Dwelling Elderly People","display_name":"Estimating Postural Stability Using Improved Permutation Entropy via TUG Accelerometer Data for Community-Dwelling Elderly People","publication_year":2020,"publication_date":"2020-09-29","ids":{"openalex":"https://openalex.org/W3091010670","doi":"https://doi.org/10.3390/e22101097","mag":"3091010670","pmid":"https://pubmed.ncbi.nlm.nih.gov/33286865"},"language":"en","primary_location":{"id":"doi:10.3390/e22101097","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e22101097","pdf_url":"https://www.mdpi.com/1099-4300/22/10/1097/pdf?version=1601447865","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/22/10/1097/pdf?version=1601447865","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022717901","display_name":"Chia-Hsuan Lee","orcid":"https://orcid.org/0000-0002-9748-3015"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Hsuan Lee","raw_affiliation_strings":["Department of Industrial Management, National Taiwan University of Science and Technology, Taipei 106, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Management, National Taiwan University of Science and Technology, Taipei 106, Taiwan","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004398926","display_name":"Shih-Hai Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shih-Hai Chen","raw_affiliation_strings":["Department of Industrial Engineering and Management, Yuan Ze University, Taoyuan 320, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Management, Yuan Ze University, Taoyuan 320, Taiwan","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102471269","display_name":"Bernard C. Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Bernard C. Jiang","raw_affiliation_strings":["Department of Industrial Management, National Taiwan University of Science and Technology, Taipei 106, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Management, National Taiwan University of Science and Technology, Taipei 106, Taiwan","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057594423","display_name":"Tien\u2010Lung Sun","orcid":"https://orcid.org/0000-0002-8408-404X"},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Tien-Lung Sun","raw_affiliation_strings":["Department of Industrial Engineering and Management, Yuan Ze University, Taoyuan 320, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Management, Yuan Ze University, Taoyuan 320, Taiwan","institution_ids":["https://openalex.org/I99908691"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5057594423"],"corresponding_institution_ids":["https://openalex.org/I99908691"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":4.6844,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.94599009,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"22","issue":"10","first_page":"1097","last_page":"1097"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.9995999932289124,"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":0.9995999932289124,"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/T12269","display_name":"Effects of Vibration on Health","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2732","display_name":"Orthopedics and Sports Medicine"},"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/T10084","display_name":"Musculoskeletal pain and rehabilitation","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/2736","display_name":"Pharmacology"},"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/accelerometer","display_name":"Accelerometer","score":0.6081637144088745},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5593346953392029},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4711165428161621},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.45049867033958435},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3300921320915222},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20584052801132202},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07612359523773193}],"concepts":[{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.6081637144088745},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5593346953392029},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4711165428161621},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.45049867033958435},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3300921320915222},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20584052801132202},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07612359523773193},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e22101097","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e22101097","pdf_url":"https://www.mdpi.com/1099-4300/22/10/1097/pdf?version=1601447865","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:33286865","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33286865","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":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:efb3580787bd4b77b762bed37d1c05ca","is_oa":true,"landing_page_url":"https://doaj.org/article/efb3580787bd4b77b762bed37d1c05ca","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 22, Iss 10, p 1097 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/22/10/1097/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e22101097","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy; Volume 22; Issue 10; Pages: 1097","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7597195","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7597195","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e22101097","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e22101097","pdf_url":"https://www.mdpi.com/1099-4300/22/10/1097/pdf?version=1601447865","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G809882798","display_name":null,"funder_award_id":"MOST106-2221-E-155-023-MY3","funder_id":"https://openalex.org/F4320309618","funder_display_name":"Ministry of Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320309618","display_name":"Ministry of Science and Technology","ror":"https://ror.org/02b207r52"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3091010670.pdf","grobid_xml":"https://content.openalex.org/works/W3091010670.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1259078","https://openalex.org/W1484678121","https://openalex.org/W1672139401","https://openalex.org/W1903176141","https://openalex.org/W1974704788","https://openalex.org/W1978736072","https://openalex.org/W1991901901","https://openalex.org/W2014683958","https://openalex.org/W2017634428","https://openalex.org/W2018727741","https://openalex.org/W2019653969","https://openalex.org/W2029943497","https://openalex.org/W2035316975","https://openalex.org/W2045656940","https://openalex.org/W2053861389","https://openalex.org/W2056020968","https://openalex.org/W2077204677","https://openalex.org/W2087978863","https://openalex.org/W2088028822","https://openalex.org/W2097575504","https://openalex.org/W2105046342","https://openalex.org/W2110320181","https://openalex.org/W2116648434","https://openalex.org/W2122145372","https://openalex.org/W2141337908","https://openalex.org/W2167271993","https://openalex.org/W2240065978","https://openalex.org/W2322045482","https://openalex.org/W2323065399","https://openalex.org/W2413744911","https://openalex.org/W2419340456","https://openalex.org/W2469628087","https://openalex.org/W2559517375","https://openalex.org/W2753777934","https://openalex.org/W2762170344","https://openalex.org/W2782627175","https://openalex.org/W2898884973","https://openalex.org/W2946909483","https://openalex.org/W2986648707","https://openalex.org/W2995660167","https://openalex.org/W3006934593","https://openalex.org/W3007434370","https://openalex.org/W3010891413","https://openalex.org/W3016806720","https://openalex.org/W3105726395","https://openalex.org/W4211003818","https://openalex.org/W4248273320","https://openalex.org/W6604091132","https://openalex.org/W6700890257","https://openalex.org/W6717588993"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W2765080098","https://openalex.org/W2385749422","https://openalex.org/W2355290145","https://openalex.org/W2353465659","https://openalex.org/W2009888974","https://openalex.org/W2355539379","https://openalex.org/W2056341223"],"abstract_inverted_index":{"To":[0],"develop":[1],"an":[2],"effective":[3,36],"fall":[4,48,194],"prevention":[5],"program,":[6],"clinicians":[7],"must":[8],"first":[9],"identify":[10],"the":[11,21,43,77,86,118,126,129,143,156,168,181],"elderly":[12,197],"people":[13],"at":[14,178],"risk":[15,49,195],"of":[16,45,80],"falling":[17],"and":[18,62,71,112,139,150],"then":[19],"take":[20],"most":[22],"appropriate":[23],"interventions":[24],"to":[25,34,57,85,93,97,107,116,192],"reduce":[26],"or":[27],"eliminate":[28],"preventable":[29],"falls.":[30],"Employing":[31],"feature":[32,110],"selection":[33],"establish":[35],"decision":[37,121],"making":[38],"can":[39,184],"thus":[40],"assist":[41],"in":[42,120,196],"identification":[44],"a":[46,90,162,188],"patient's":[47],"from":[50],"limited":[51],"data.":[52],"This":[53],"work":[54],"therefore":[55],"aims":[56],"supplement":[58],"professional":[59],"timed":[60],"up":[61],"go":[63],"assessment":[64],"methods":[65,115],"using":[66],"sensor":[67],"technology,":[68],"entropy":[69,138],"analysis,":[70],"statistical":[72,140],"analysis.":[73],"The":[74],"results":[75],"showed":[76],"different":[78],"approach":[79],"applying":[81],"logistic":[82],"regression":[83,103],"analysis":[84],"inertial":[87],"data":[88],"on":[89],"fall-risk":[91],"scale":[92,172],"allow":[94],"medical":[95],"practitioners":[96],"predict":[98],"for":[99],"high-risk":[100],"patients.":[101],"Logistic":[102],"was":[104],"also":[105,124],"used":[106],"automatically":[108],"select":[109],"values":[111,146],"clinical":[113],"judgment":[114],"explore":[117],"differences":[119],"making.":[122],"We":[123],"calculate":[125],"area":[127],"under":[128],"receiver-operating":[130],"characteristic":[131],"curve":[132],"(AUC).":[133],"Results":[134],"indicated":[135],"that":[136],"permutation":[137],"features":[141,159],"provided":[142],"best":[144],"AUC":[145],"(all":[147],"above":[148],"0.9),":[149],"false":[151],"positives":[152],"were":[153],"avoided.":[154],"Additionally,":[155],"weighted-permutation":[157],"entropy/statistical":[158],"test":[160],"has":[161],"relatively":[163],"good":[164],"agreement":[165],"rate":[166],"with":[167,187],"short-form":[169],"Berg":[170],"balance":[171],"when":[173],"classifying":[174],"patients":[175],"as":[176],"being":[177],"risk.":[179],"Therefore,":[180],"proposed":[182],"methodology":[183],"provide":[185],"decision-makers":[186],"more":[189],"accurate":[190],"way":[191],"classify":[193],"people.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
