{"id":"https://openalex.org/W2582639121","doi":"https://doi.org/10.1109/biocas.2016.7833760","title":"Neighborhood coarse graining based Lempel-Ziv complexity for analysis on center of pressure","display_name":"Neighborhood coarse graining based Lempel-Ziv complexity for analysis on center of pressure","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2582639121","doi":"https://doi.org/10.1109/biocas.2016.7833760","mag":"2582639121"},"language":"en","primary_location":{"id":"doi:10.1109/biocas.2016.7833760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas.2016.7833760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Biomedical Circuits and Systems Conference (BioCAS)","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/A5019944386","display_name":"Yao Sun","orcid":"https://orcid.org/0000-0002-6519-7436"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yao Sun","raw_affiliation_strings":["College of Electric Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Electric Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100323793","display_name":"Wei Wei","orcid":"https://orcid.org/0000-0003-0481-7328"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wei","raw_affiliation_strings":["College of Electric Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Electric Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044608144","display_name":"Zhizeng Luo","orcid":"https://orcid.org/0000-0002-2689-3455"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhizeng Luo","raw_affiliation_strings":["Robot research institute, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Robot research institute, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061010105","display_name":"JI Zhong-ming","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongming Ji","raw_affiliation_strings":["Robot research institute, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Robot research institute, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5019944386"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23292933,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"176","last_page":"179"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.9993000030517578,"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":0.9993000030517578,"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/T10157","display_name":"Sports Performance and Training","score":0.9805999994277954,"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/T10982","display_name":"Motor Control and Adaptation","score":0.9562000036239624,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/center-of-pressure","display_name":"Center of pressure (fluid mechanics)","score":0.831557035446167},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.6128444671630859},{"id":"https://openalex.org/keywords/component-analysis","display_name":"Component analysis","score":0.4871511161327362},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4561750590801239},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43460142612457275},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4315219521522522},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31039220094680786},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1176394522190094},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06098267436027527}],"concepts":[{"id":"https://openalex.org/C76542214","wikidata":"https://www.wikidata.org/wiki/Q604830","display_name":"Center of pressure (fluid mechanics)","level":3,"score":0.831557035446167},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.6128444671630859},{"id":"https://openalex.org/C2780692498","wikidata":"https://www.wikidata.org/wiki/Q16950721","display_name":"Component analysis","level":2,"score":0.4871511161327362},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4561750590801239},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43460142612457275},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4315219521522522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31039220094680786},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1176394522190094},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06098267436027527},{"id":"https://openalex.org/C13393347","wikidata":"https://www.wikidata.org/wiki/Q8424","display_name":"Aerodynamics","level":2,"score":0.0},{"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/biocas.2016.7833760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas.2016.7833760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Biomedical Circuits and Systems Conference (BioCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2012840534","https://openalex.org/W2019384070","https://openalex.org/W2043729958","https://openalex.org/W2077770566","https://openalex.org/W2122671679","https://openalex.org/W2129613547","https://openalex.org/W2137478377","https://openalex.org/W2169766626","https://openalex.org/W2379487642","https://openalex.org/W2537905131"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2378857091","https://openalex.org/W2999756192","https://openalex.org/W103652678","https://openalex.org/W4226090359","https://openalex.org/W2059697060","https://openalex.org/W936373746","https://openalex.org/W2975817033","https://openalex.org/W4382701072"],"abstract_inverted_index":{"Center":[0],"of":[1,18,79,98,111,155],"pressure":[2],"(COP)":[3],"has":[4],"been":[5],"long":[6],"used":[7,150],"to":[8,54],"investigate":[9],"standing":[10,30,80,156],"postural":[11,81,157],"control.":[12,158],"However,":[13],"there":[14],"is":[15,48],"still":[16],"lack":[17],"COP":[19,60,92,112,138,146],"measures":[20],"which":[21],"can":[22,148],"give":[23],"information":[24],"about":[25],"how":[26],"well":[27],"controlled":[28],"the":[29,108,116,133,145],"posture":[31],"is.":[32],"This":[33],"paper":[34],"presents":[35],"a":[36,63,128,152],"novel":[37],"Lempel-Ziv":[38,46,71],"complexity":[39,47,72,83],"(LZC)":[40],"measure":[41],"for":[42,57,132],"COP.":[43],"The":[44,65,88],"classical":[45],"improved":[49],"with":[50],"neighborhood":[51,67],"coarse":[52,68],"graining":[53,69],"fit":[55],"it":[56,124],"analyzing":[58],"two-dimensional":[59],"trajectory":[61],"as":[62,151],"whole.":[64],"proposed":[66],"based":[70],"(NGLZC)":[73],"was":[74,125],"evaluated":[75],"by":[76,85],"monitoring":[77],"changes":[78],"sway":[82],"induced":[84],"visual":[86,99,134],"input.":[87],"results":[89],"reflected":[90,119],"that":[91,127],"NGLZC":[93,139,147],"values":[94,110],"in":[95],"three":[96],"kinds":[97],"input":[100,135],"conditions":[101],"showed":[102],"consistent":[103],"pattern":[104],"across":[105],"subjects,":[106],"whereas":[107],"LZC":[109],"medial-lateral":[113],"component":[114,118],"and":[115],"anterior-posterior":[117],"no":[120],"meaningful":[121],"pattern.":[122],"Furthermore,":[123],"found":[126],"statistically":[129],"significant":[130],"effect":[131],"factor":[136],"on":[137],"(ANOVA:":[140],"P":[141],"<;":[142],"0.001).":[143],"Hence,":[144],"be":[149],"good":[153],"indicator":[154]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
