{"id":"https://openalex.org/W2765417352","doi":"https://doi.org/10.23919/eusipco.2017.8081244","title":"Triaxial rehabilitative data analysis incorporating matching pursuit","display_name":"Triaxial rehabilitative data analysis incorporating matching pursuit","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2765417352","doi":"https://doi.org/10.23919/eusipco.2017.8081244","mag":"2765417352"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2017.8081244","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2017.8081244","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":"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/A5059333710","display_name":"Tracey K. M. Lee","orcid":"https://orcid.org/0000-0002-3450-4317"},"institutions":[{"id":"https://openalex.org/I11662577","display_name":"Monash University Malaysia","ror":"https://ror.org/00yncr324","country_code":"MY","type":"education","lineage":["https://openalex.org/I11662577"]},{"id":"https://openalex.org/I202502355","display_name":"Singapore Polytechnic","ror":"https://ror.org/05pxcn248","country_code":"SG","type":"education","lineage":["https://openalex.org/I202502355"]}],"countries":["MY","SG"],"is_corresponding":true,"raw_author_name":"Tracey K. M. Lee","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Singapore Polytechnic, Singapore","School of Information Technology, Monash University, Malaysia"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Singapore Polytechnic, Singapore","institution_ids":["https://openalex.org/I202502355"]},{"raw_affiliation_string":"School of Information Technology, Monash University, Malaysia","institution_ids":["https://openalex.org/I11662577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110530849","display_name":"K. H. Leo","orcid":null},"institutions":[{"id":"https://openalex.org/I202502355","display_name":"Singapore Polytechnic","ror":"https://ror.org/05pxcn248","country_code":"SG","type":"education","lineage":["https://openalex.org/I202502355"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Kee-Hao Leo","raw_affiliation_strings":["School of Mechanical and Aeronautical Engineering, Singapore Polytechnic, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Aeronautical Engineering, Singapore Polytechnic, Singapore","institution_ids":["https://openalex.org/I202502355"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004587843","display_name":"Saeid Sanei","orcid":"https://orcid.org/0000-0002-1446-5744"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]},{"id":"https://openalex.org/I4210113003","display_name":"Physical Sciences (United States)","ror":"https://ror.org/021qvjc46","country_code":"US","type":"company","lineage":["https://openalex.org/I4210113003"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Saeid Sanei","raw_affiliation_strings":["Faculty of Engineering and Physical Sciences, University of Surrey"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Physical Sciences, University of Surrey","institution_ids":["https://openalex.org/I28290843","https://openalex.org/I4210113003"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033217192","display_name":"Effie Chew","orcid":"https://orcid.org/0000-0002-8128-7036"},"institutions":[{"id":"https://openalex.org/I4210146690","display_name":"National University Hospital","ror":"https://ror.org/04fp9fm22","country_code":"SG","type":"healthcare","lineage":["https://openalex.org/I4210146690"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Effie Chew","raw_affiliation_strings":["Division of Neurology, National University Hospital, Singapore"],"affiliations":[{"raw_affiliation_string":"Division of Neurology, National University Hospital, Singapore","institution_ids":["https://openalex.org/I4210146690"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101989553","display_name":"Ling Zhao","orcid":"https://orcid.org/0000-0003-0239-0631"},"institutions":[{"id":"https://openalex.org/I4210146690","display_name":"National University Hospital","ror":"https://ror.org/04fp9fm22","country_code":"SG","type":"healthcare","lineage":["https://openalex.org/I4210146690"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ling Zhao","raw_affiliation_strings":["Division of Neurology, National University Hospital, Singapore"],"affiliations":[{"raw_affiliation_string":"Division of Neurology, National University Hospital, Singapore","institution_ids":["https://openalex.org/I4210146690"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5059333710"],"corresponding_institution_ids":["https://openalex.org/I11662577","https://openalex.org/I202502355"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.14733934,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"52","issue":null,"first_page":"434","last_page":"438"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9983000159263611,"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"}},{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9976000189781189,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9962999820709229,"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/computer-science","display_name":"Computer science","score":0.6806962490081787},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6139655113220215},{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.6126222610473633},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5636589527130127},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5548992156982422},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48984190821647644},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4689359664916992},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.463552862405777},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4309341311454773},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41193723678588867},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38507404923439026},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.0926891565322876},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.0762130618095398}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6806962490081787},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6139655113220215},{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.6126222610473633},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5636589527130127},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5548992156982422},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48984190821647644},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4689359664916992},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.463552862405777},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4309341311454773},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41193723678588867},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38507404923439026},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0926891565322876},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.0762130618095398},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco.2017.8081244","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2017.8081244","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":[{"id":"https://openalex.org/F4320320751","display_name":"Ministry of Education - Singapore","ror":"https://ror.org/01kcva023"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W369460718","https://openalex.org/W1672540664","https://openalex.org/W2079124738","https://openalex.org/W2085126485","https://openalex.org/W2133990480","https://openalex.org/W2151693816","https://openalex.org/W2218381078","https://openalex.org/W2315391193","https://openalex.org/W2346746859","https://openalex.org/W2569197105"],"related_works":["https://openalex.org/W2042644197","https://openalex.org/W2073241848","https://openalex.org/W2785927776","https://openalex.org/W2020549994","https://openalex.org/W4220674950","https://openalex.org/W3130682819","https://openalex.org/W1980565639","https://openalex.org/W2381915087","https://openalex.org/W2103001330","https://openalex.org/W2806946907"],"abstract_inverted_index":{"The":[0,71],"continuing":[1],"drive":[2],"for":[3,68,157],"better":[4,65,141],"rehabilitative":[5,44,103],"healthcare":[6],"hinges":[7],"on":[8,22,82,88,102,118],"the":[9,23,97,115,126,143,155],"availability":[10],"of":[11,46,73,96,145],"sensor":[12],"data":[13,54,104,122],"which":[14,150],"can":[15],"be":[16],"shared":[17],"and":[18,85,131],"analysed.":[19],"This":[20],"leverages":[21],"widespread":[24],"communications":[25],"network":[26],"to":[27,62,94,134,140],"provide":[28,63],"an":[29,120],"integrated":[30],"health":[31],"management":[32],"environment.":[33],"For":[34],"this":[35,133],"paper,":[36],"we":[37,52,57,92,113,137],"delineate":[38],"our":[39,69],"current":[40],"work":[41],"in":[42,77,154],"sensorizing":[43],"tests":[45],"upper":[47],"limb":[48],"movements.":[49],"Where":[50],"previously":[51],"applied":[53],"driven":[55],"analysis,":[56],"now":[58],"employ":[59],"time-frequency":[60],"methods":[61],"a":[64,146],"analytical":[66],"basis":[67],"derivations.":[70],"use":[72],"Matching":[74],"Pursuit":[75],"algorithm":[76,98],"biological":[78],"signals":[79,84],"has":[80],"concentrated":[81],"brain":[83],"much":[86],"less":[87],"human":[89],"motion.":[90],"Thus":[91],"contribute":[93],"efficacy":[95],"by":[99],"employing":[100],"it":[101],"collected":[105],"from":[106],"widely":[107],"available":[108,121],"sensors.":[109],"We":[110],"describe":[111],"how":[112],"obtained":[114],"parameters":[116],"based":[117],"pre-analysing":[119],"set.":[123],"By":[124],"selecting":[125],"most":[127],"useful":[128],"signal":[129,135],"constituents":[130],"applying":[132],"denoising,":[136],"are":[138],"able":[139],"classify":[142],"condition":[144],"patient":[147],"automatically":[148],"-":[149],"shows":[151],"encouraging":[152],"promise":[153],"quest":[156],"integrative":[158],"healthcare.":[159]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}