{"id":"https://openalex.org/W2796854108","doi":"https://doi.org/10.1109/bhi.2018.8333391","title":"Energy-efficient ECG compression in wearable body sensor network by leveraging empirical mode decomposition","display_name":"Energy-efficient ECG compression in wearable body sensor network by leveraging empirical mode decomposition","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2796854108","doi":"https://doi.org/10.1109/bhi.2018.8333391","mag":"2796854108"},"language":"en","primary_location":{"id":"doi:10.1109/bhi.2018.8333391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2018.8333391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE EMBS International Conference on Biomedical & 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/A5101501969","display_name":"Hui Huang","orcid":"https://orcid.org/0000-0003-4474-7037"},"institutions":[{"id":"https://openalex.org/I11957088","display_name":"Michigan Technological University","ror":"https://ror.org/0036rpn28","country_code":"US","type":"education","lineage":["https://openalex.org/I11957088"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hui Huang","raw_affiliation_strings":["Department of Mechanical Engineering-Engineering Mechanics, Michigan Technological University, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering-Engineering Mechanics, Michigan Technological University, MI, USA","institution_ids":["https://openalex.org/I11957088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031580282","display_name":"Shiyan Hu","orcid":"https://orcid.org/0000-0003-2512-0634"},"institutions":[{"id":"https://openalex.org/I11957088","display_name":"Michigan Technological University","ror":"https://ror.org/0036rpn28","country_code":"US","type":"education","lineage":["https://openalex.org/I11957088"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shiyan Hu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Michigan Technological University, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Michigan Technological University, MI, USA","institution_ids":["https://openalex.org/I11957088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084376514","display_name":"Ye Sun","orcid":"https://orcid.org/0000-0003-1086-8017"},"institutions":[{"id":"https://openalex.org/I11957088","display_name":"Michigan Technological University","ror":"https://ror.org/0036rpn28","country_code":"US","type":"education","lineage":["https://openalex.org/I11957088"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ye Sun","raw_affiliation_strings":["Department of Mechanical Engineering-Engineering Mechanics and the Department of Biomedical Engineering, Michigan Technological University, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering-Engineering Mechanics and the Department of Biomedical Engineering, Michigan Technological University, MI, USA","institution_ids":["https://openalex.org/I11957088"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101501969"],"corresponding_institution_ids":["https://openalex.org/I11957088"],"apc_list":null,"apc_paid":null,"fwci":1.7063,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.85405483,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"149","last_page":"152"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9988999962806702,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7750841379165649},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.7595691680908203},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.6058935523033142},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6034136414527893},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.5550240278244019},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5517897605895996},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.5092200040817261},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.48628437519073486},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.47165170311927795},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.45902639627456665},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4477602243423462},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3502601385116577},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.24148941040039062},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.22346457839012146},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1509576141834259},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11781156063079834},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1018640398979187},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06759873032569885}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7750841379165649},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.7595691680908203},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.6058935523033142},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6034136414527893},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.5550240278244019},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5517897605895996},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.5092200040817261},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.48628437519073486},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.47165170311927795},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.45902639627456665},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4477602243423462},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3502601385116577},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.24148941040039062},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.22346457839012146},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1509576141834259},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11781156063079834},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1018640398979187},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06759873032569885},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bhi.2018.8333391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2018.8333391","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)","raw_type":"proceedings-article"},{"id":"pmh:oai:digitalcommons.mtu.edu:michigantech-p-1652","is_oa":false,"landing_page_url":"https://digitalcommons.mtu.edu/michigantech-p/650","pdf_url":null,"source":{"id":"https://openalex.org/S4377196391","display_name":"Digital Commons - Michigan Tech (Michigan Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11957088","host_organization_name":"Michigan Technological University","host_organization_lineage":["https://openalex.org/I11957088"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Michigan Tech Publications, Part 1","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1943579973","https://openalex.org/W1982365250","https://openalex.org/W1992556963","https://openalex.org/W2007221293","https://openalex.org/W2027962429","https://openalex.org/W2046788142","https://openalex.org/W2065359450","https://openalex.org/W2111414067","https://openalex.org/W2145162005","https://openalex.org/W2169382889","https://openalex.org/W2500592017","https://openalex.org/W2601746789","https://openalex.org/W2748338494","https://openalex.org/W6666899848"],"related_works":["https://openalex.org/W2105804632","https://openalex.org/W1524195700","https://openalex.org/W1990714824","https://openalex.org/W4206837030","https://openalex.org/W2139009501","https://openalex.org/W2340045558","https://openalex.org/W3126637712","https://openalex.org/W2901543269","https://openalex.org/W1570872215","https://openalex.org/W2144981143"],"abstract_inverted_index":{"Wearable":[0],"body":[1],"sensor":[2],"network":[3],"(BSN)":[4],"is":[5,28],"widely":[6],"used":[7],"in":[8,21,24,161],"daily":[9],"monitoring,":[10],"well-being":[11],"management,":[12],"and":[13,80,154],"rehabilitation.":[14],"Energy":[15],"efficiency":[16],"imposes":[17],"a":[18,35,66],"stringent":[19],"constraint":[20],"wearable":[22,84,128,155],"BSN,":[23],"which":[25,51,93,139],"wireless":[26],"transmission":[27,44],"significantly":[29],"power-demanding.":[30],"Compressed":[31],"sensing":[32],"(CS)":[33],"provides":[34],"good":[36],"solution":[37],"to":[38,46,57,87,119,175],"reduce":[39],"power":[40,178],"consumption":[41],"for":[42,69,83,127,170],"data":[43,56,153],"due":[45],"the":[47,88,96,104,116,122],"sparsity":[48],"of":[49,90,100,125],"signals":[50],"can":[52,94,114,140],"use":[53],"limited":[54],"transmitted":[55],"reconstruct":[58],"original":[59],"signals.":[60],"In":[61,130],"this":[62],"study,":[63],"we":[64],"develop":[65],"new":[67],"method":[68,113,133,166],"non-sparse":[70],"ECG":[71,91,156],"signal":[72],"compression":[73,92,97,143],"by":[74,158],"leveraging":[75],"empirical":[76],"mode":[77],"decomposition":[78],"(EMD)":[79],"online":[81],"dictionary":[82],"devices.":[85],"Comparing":[86],"state-of-the-art":[89],"achieve":[95,115,141,176],"ratio":[98],"(CR)":[99],"around":[101,110],"25":[102],"with":[103,121],"root":[105],"mean":[106],"square":[107],"error":[108],"(RMSE)":[109],"5%,":[111],"our":[112,132,159],"CR":[117],"up":[118],"60":[120],"same":[123],"level":[124],"RMSE":[126],"ECG.":[129],"addition,":[131],"also":[134],"has":[135],"low":[136],"computational":[137],"complexity,":[138],"lower":[142],"energy.":[144],"The":[145,164],"validation":[146],"experiments":[147],"are":[148],"conducted":[149],"on":[150,173],"both":[151],"clinical":[152],"detected":[157],"BSN":[160],"noisy":[162],"environment.":[163],"proposed":[165],"shows":[167],"high":[168],"feasibility":[169],"real":[171],"CS":[172],"board":[174],"ultra-low":[177],"consumption.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}