{"id":"https://openalex.org/W2343278442","doi":"https://doi.org/10.1109/bhi.2016.7455867","title":"A light-weight data preprocessing and integrative scheduling framework for health monitoring","display_name":"A light-weight data preprocessing and integrative scheduling framework for health monitoring","publication_year":2016,"publication_date":"2016-02-01","ids":{"openalex":"https://openalex.org/W2343278442","doi":"https://doi.org/10.1109/bhi.2016.7455867","mag":"2343278442"},"language":"en","primary_location":{"id":"doi:10.1109/bhi.2016.7455867","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2016.7455867","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","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/A5100371056","display_name":"Fan Liu","orcid":"https://orcid.org/0000-0003-2931-1737"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fan Liu","raw_affiliation_strings":["Shaanxi Key Lab of Embedded System, Northwestern Polytechnical University, Xi'an, CHN"],"affiliations":[{"raw_affiliation_string":"Shaanxi Key Lab of Embedded System, Northwestern Polytechnical University, Xi'an, CHN","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012961763","display_name":"Xingshe Zhou","orcid":"https://orcid.org/0000-0001-7301-2174"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingshe Zhou","raw_affiliation_strings":["Shaanxi Key Lab of Embedded System, Northwestern Polytechnical University, Xi'an, CHN"],"affiliations":[{"raw_affiliation_string":"Shaanxi Key Lab of Embedded System, Northwestern Polytechnical University, Xi'an, CHN","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100439571","display_name":"Zhu Wang","orcid":"https://orcid.org/0000-0003-2368-8947"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhu Wang","raw_affiliation_strings":["Shaanxi Key Lab of Embedded System, Northwestern Polytechnical University, Xi'an, CHN"],"affiliations":[{"raw_affiliation_string":"Shaanxi Key Lab of Embedded System, Northwestern Polytechnical University, Xi'an, CHN","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107336029","display_name":"Tianben Wang","orcid":"https://orcid.org/0000-0001-5921-3762"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianben Wang","raw_affiliation_strings":["Shaanxi Key Lab of Embedded System, Northwestern Polytechnical University, Xi'an, CHN"],"affiliations":[{"raw_affiliation_string":"Shaanxi Key Lab of Embedded System, Northwestern Polytechnical University, Xi'an, CHN","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102809585","display_name":"Hongbo Ni","orcid":"https://orcid.org/0000-0002-2965-4388"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbo Ni","raw_affiliation_strings":["Shaanxi Key Lab of Embedded System, Northwestern Polytechnical University, Xi'an, CHN"],"affiliations":[{"raw_affiliation_string":"Shaanxi Key Lab of Embedded System, Northwestern Polytechnical University, Xi'an, CHN","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100371056"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":1.0149,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.82636368,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"192","last_page":"195"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9667999744415283,"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":0.9667999744415283,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7477262616157532},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5695353746414185},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.5413385033607483},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.53805011510849},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5174915790557861},{"id":"https://openalex.org/keywords/data-transmission","display_name":"Data transmission","score":0.5076161623001099},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46291807293891907},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.41549259424209595},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3088858723640442},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.17797377705574036},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12553471326828003}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7477262616157532},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5695353746414185},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.5413385033607483},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.53805011510849},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5174915790557861},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.5076161623001099},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46291807293891907},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.41549259424209595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3088858723640442},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.17797377705574036},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12553471326828003},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bhi.2016.7455867","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2016.7455867","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2034512648"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3092506759","https://openalex.org/W138569904","https://openalex.org/W3010890513","https://openalex.org/W2390914021","https://openalex.org/W2389417819","https://openalex.org/W2368524271"],"abstract_inverted_index":{"The":[0,111],"aging":[1],"of":[2,61,106,141,163],"population":[3],"presents":[4],"a":[5,19,69,90],"severe":[6],"challenge":[7],"to":[8,124,167],"the":[9,57,104,109,120,127,138,151,159],"traditional":[10],"\"face-to-face\"":[11],"diagnosis":[12],"mode.":[13],"Household":[14],"health":[15,27,38,62,71],"monitoring":[16,39,72],"systems":[17,40],"play":[18],"more":[20,22],"and":[21,52,59,83,96,108,115,150,155,158],"important":[23],"role":[24],"in":[25,143],"identifying":[26,144],"conditions,":[28],"diagnosing":[29],"diseases,":[30],"assisting":[31],"daily":[32],"lives,":[33],"etc.":[34],"However,":[35],"most":[36],"existing":[37],"are":[41,153],"incomplete.":[42],"They":[43],"always":[44],"leave":[45],"out":[46],"some":[47],"function,":[48],"e.g.,":[49],"data":[50,76,79,81,84,92,107],"preprocessing":[51,93],"scheduling":[53,99,175],"mechanism,":[54],"which":[55,74],"decrease":[56],"accuracy":[58],"efficiency":[60],"services.":[63],"In":[64],"this":[65],"paper,":[66],"we":[67,87],"propose":[68],"multi-function":[70],"system":[73],"integrates":[75],"acquisition,":[77],"wireless":[78],"transmission,":[80],"storage,":[82],"visualization.":[85],"Moreover,":[86],"put":[88],"forward":[89],"light-weight":[91],"algorithm":[94],"(LDPA)":[95],"an":[97],"integrative":[98],"mechanism":[100],"(ISM)":[101],"based":[102,133],"on":[103,134],"amount":[105],"semaphore.":[110],"LDPA":[112,142],"can":[113],"identify":[114],"eliminate":[116],"abnormal":[117,145],"data,":[118],"while":[119],"ISM":[121,164],"is":[122],"able":[123],"significantly":[125],"reduce":[126],"total":[128],"time":[129,161,169],"consuming.":[130],"Experimental":[131],"results":[132],"97":[135],"elderlies":[136],"approved":[137],"high":[139],"performance":[140],"breathing":[146],"waves":[147],"(the":[148],"precision":[149],"recall":[152],"92.14%":[154],"93.26%":[156],"respectively)":[157],"significant":[160],"reduction":[162],"(saving":[165],"34.24%":[166],"56.30%":[168],"overhead),":[170],"compared":[171],"with":[172],"three":[173],"other":[174],"mechanisms.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}