{"id":"https://openalex.org/W2047515628","doi":"https://doi.org/10.1109/icnidc.2012.6418815","title":"A low-complexity frequency-offset estimation algorithm for the medical body area network","display_name":"A low-complexity frequency-offset estimation algorithm for the medical body area network","publication_year":2012,"publication_date":"2012-09-01","ids":{"openalex":"https://openalex.org/W2047515628","doi":"https://doi.org/10.1109/icnidc.2012.6418815","mag":"2047515628"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnidc.2012.6418815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5100368995","display_name":"Ning Li","orcid":"https://orcid.org/0000-0002-0299-7727"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Li","raw_affiliation_strings":["Beijing Key Laboratory of Work Safety Intelligent Monitoring Beijing University of Posts and Telecommunications, Beijing 100876, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Work Safety Intelligent Monitoring Beijing University of Posts and Telecommunications, Beijing 100876, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014475042","display_name":"Wenliang Lin","orcid":"https://orcid.org/0000-0002-1131-2275"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenliang Lin","raw_affiliation_strings":["Beijing Key Laboratory of Work Safety Intelligent Monitoring Beijing University of Posts and Telecommunications, Beijing 100876, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Work Safety Intelligent Monitoring Beijing University of Posts and Telecommunications, Beijing 100876, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001608214","display_name":"Shui Tu","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shui Tu","raw_affiliation_strings":["Beijing Key Laboratory of Work Safety Intelligent Monitoring Beijing University of Posts and Telecommunications, Beijing 100876, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Work Safety Intelligent Monitoring Beijing University of Posts and Telecommunications, Beijing 100876, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007128502","display_name":"Maoshun Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maoshun Tang","raw_affiliation_strings":["Beijing Key Laboratory of Work Safety Intelligent Monitoring Beijing University of Posts and Telecommunications, Beijing 100876, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Work Safety Intelligent Monitoring Beijing University of Posts and Telecommunications, Beijing 100876, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102222671","display_name":"Zhongliang Deng","orcid":"https://orcid.org/0000-0002-1984-8613"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongliang Deng","raw_affiliation_strings":["Beijing Key Laboratory of Work Safety Intelligent Monitoring Beijing University of Posts and Telecommunications, Beijing 100876, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Work Safety Intelligent Monitoring Beijing University of Posts and Telecommunications, Beijing 100876, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":1,"citation_normalized_percentile":{"value":0.338962,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":65,"max":72},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11932","display_name":"Wireless Body Area Networks in Healthcare","score":0.9944,"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"}},"topics":[{"id":"https://openalex.org/T11932","display_name":"Wireless Body Area Networks in Healthcare","score":0.9944,"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/T11021","display_name":"Analysis of Electrocardiogram Signals","score":0.9815,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular 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/T10727","display_name":"Advances in Ultrasound Elastography Imaging Techniques","score":0.9087,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/wireless-body-area-networks","display_name":"Wireless Body Area Networks","score":0.533308},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal Processing","score":0.51075},{"id":"https://openalex.org/keywords/heartbeat-classification","display_name":"Heartbeat Classification","score":0.509863},{"id":"https://openalex.org/keywords/arrhythmia-detection","display_name":"Arrhythmia Detection","score":0.504155},{"id":"https://openalex.org/keywords/preamble","display_name":"Preamble","score":0.46325928},{"id":"https://openalex.org/keywords/carrier-frequency-offset","display_name":"Carrier frequency offset","score":0.46254322}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.74298394},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6988478},{"id":"https://openalex.org/C49319798","wikidata":"https://www.wikidata.org/wiki/Q5502874","display_name":"Frequency offset","level":4,"score":0.6284504},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.56688464},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.55706656},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.5559987},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.5409947},{"id":"https://openalex.org/C2780691134","wikidata":"https://www.wikidata.org/wiki/Q1129448","display_name":"Preamble","level":3,"score":0.46325928},{"id":"https://openalex.org/C2776108382","wikidata":"https://www.wikidata.org/wiki/Q25111451","display_name":"Carrier frequency offset","level":5,"score":0.46254322},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.31115127},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.19322631},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17466652},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnidc.2012.6418815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":7,"referenced_works":["https://openalex.org/W2034023408","https://openalex.org/W2111855076","https://openalex.org/W2137814205","https://openalex.org/W2152496056","https://openalex.org/W2153203408","https://openalex.org/W2384743819","https://openalex.org/W2387235262"],"related_works":["https://openalex.org/W2789593045","https://openalex.org/W2535484967","https://openalex.org/W2463570369","https://openalex.org/W2163799874","https://openalex.org/W2155529222","https://openalex.org/W2122124862","https://openalex.org/W2107432979","https://openalex.org/W2033692824","https://openalex.org/W2010378487","https://openalex.org/W2002553149"],"abstract_inverted_index":{"Limited":[0],"by":[1,121],"low":[2,4,8,36],"cost,":[3],"transmitted":[5],"power":[6,9],"and":[7,62,91],"consumption,":[10],"the":[11,16,20,35,56,63,87,93,96,101,105,110,118,122,128,138,152,159],"frequency-offset":[12,60,72,106],"estimation":[13,30,47,73,89,107,134],"algorithm":[14,43,61,65,74,130],"of":[15,95,104],"communication":[17],"equipment":[18],"for":[19],"medical":[21],"body":[22],"area":[23],"network":[24],"(MBAN)":[25],"shall":[26],"maintain":[27],"a":[28,45,51,69,132],"superior":[29,46,88,133],"performance":[31,48,90,135],"as":[32,34],"well":[33],"computing":[37,53],"complexity.":[38,54],"The":[39,83,115],"conventional":[40,139],"glide":[41,58,140],"cross-correlation":[42,59,71,141],"has":[44,131],"however":[49],"with":[50,66,75],"high":[52],"Combined":[55],"data-aided":[57],"auto-correlation":[64],"weighting":[67,76],"sum,":[68],"preamble":[70],"sum":[77],"is":[78,113,148],"proposed":[79,129],"in":[80,117],"this":[81],"paper.":[82],"new":[84],"scheme":[85],"maintains":[86],"decreases":[92],"complexity":[94],"algorithm.":[97],"Through":[98],"mathematical":[99],"derivation,":[100],"calculation":[102],"formula":[103],"variance":[108],"under":[109],"AWGN":[111],"channel":[112],"derived.":[114],"simulation":[116],"condition":[119],"specified":[120],"MBAN":[123,160],"physics":[124],"layer":[125],"protocol":[126],"shows":[127],"close":[136],"to":[137],"algorithm,":[142],"meanwhile":[143],"whose":[144],"packet":[145],"error":[146],"ratio(PER)":[147],"below":[149],"1%":[150],"when":[151],"signal":[153],"noise":[154],"ratio(SNR)":[155],">;4dB,":[156],"which":[157],"meets":[158],"demand.":[161]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2047515628","counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2024-11-27T11:34:50.938384","created_date":"2016-06-24"}