{"id":"https://openalex.org/W4312802471","doi":"https://doi.org/10.1109/iicaiet55139.2022.9936793","title":"A Hybrid Biosignal Compression Model for Healthcare Sensor Networks","display_name":"A Hybrid Biosignal Compression Model for Healthcare Sensor Networks","publication_year":2022,"publication_date":"2022-09-13","ids":{"openalex":"https://openalex.org/W4312802471","doi":"https://doi.org/10.1109/iicaiet55139.2022.9936793"},"language":"en","primary_location":{"id":"doi:10.1109/iicaiet55139.2022.9936793","doi":"https://doi.org/10.1109/iicaiet55139.2022.9936793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iicaiet55139.2022.9936793","pdf_url":null,"source":{"id":"https://openalex.org/S4363608273","display_name":"IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","raw_type":"proceedings-article"},"parent_works":[],"lineage":["https://openalex.org/W4312802471"],"child_works_count":0,"type":"conference-paper","is_traditional":true,"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/A5011941354","display_name":"T Dheepa","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"T Dheepa","raw_affiliation_strings":["Kongunadu College of Engineering,Department of Computer Science and Engineering,Tiruchirappalli,Tamilnadu,India,621215"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kongunadu College of Engineering,Department of Computer Science and Engineering,Tiruchirappalli,Tamilnadu,India,621215","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008410999","display_name":"Kency Taniya Antony Sekar","orcid":"https://orcid.org/0000-0003-0130-6231","observed_orcids":["https://orcid.org/0000-0003-0130-6231"]},"institutions":[{"id":"https://openalex.org/I151903974","display_name":"National Institute Of Technology Silchar","ror":"https://ror.org/001ws2a36","country_code":"IN","type":"education","lineage":["https://openalex.org/I151903974"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K Sekar","raw_affiliation_strings":["National Institute of Technology Silchar,Department of Computer Science and Engineering,Silchar,Assam,India,788010"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Technology Silchar,Department of Computer Science and Engineering,Silchar,Assam,India,788010","institution_ids":["https://openalex.org/I151903974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014580670","display_name":"Satish Kumar Satti","orcid":"https://orcid.org/0000-0002-1443-3873","observed_orcids":["https://orcid.org/0000-0002-1443-3873"]},"institutions":[{"id":"https://openalex.org/I151903974","display_name":"National Institute Of Technology Silchar","ror":"https://ror.org/001ws2a36","country_code":"IN","type":"education","lineage":["https://openalex.org/I151903974"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Satish Kumar Satti","raw_affiliation_strings":["National Institute of Technology Silchar,Department of Computer Science and Engineering,Silchar,Assam,India,788010"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Technology Silchar,Department of Computer Science and Engineering,Silchar,Assam,India,788010","institution_ids":["https://openalex.org/I151903974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054410379","display_name":"Goluguri N. V. Rajareddy","orcid":"https://orcid.org/0000-0003-2394-2693","observed_orcids":["https://orcid.org/0000-0003-2394-2693"]},"institutions":[{"id":"https://openalex.org/I885392262","display_name":"GITAM University","ror":"https://ror.org/0440p1d37","country_code":"IN","type":"education","lineage":["https://openalex.org/I885392262"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Goluguri N V Rajareddy","raw_affiliation_strings":["School of Technology, Gandhi Institute of Technology and Management Vishakapatnam,Department of Computer Science and Engineering,Andra Pradesh,India","Department of Computer Science and Engineering, School of Technology, Gandhi Institute of Technology and Management Vishakapatnam, Andra Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Technology, Gandhi Institute of Technology and Management Vishakapatnam,Department of Computer Science and Engineering,Andra Pradesh,India","institution_ids":["https://openalex.org/I885392262"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, School of Technology, Gandhi Institute of Technology and Management Vishakapatnam, Andra Pradesh, India","institution_ids":["https://openalex.org/I885392262"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5043,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58118442,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.8809000253677368,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.8809000253677368,"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"}},{"id":"https://openalex.org/T11932","display_name":"Wireless Body Area Networks","score":0.035599999129772186,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.02889999933540821,"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/wearable-sensors","display_name":"wearable sensors","score":0.9729999899864197},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"compressed sensing","score":0.8970000147819519},{"id":"https://openalex.org/keywords/sparse-signal-recovery","display_name":"sparse signal recovery","score":0.9440000057220459},{"id":"https://openalex.org/keywords/lstm","display_name":"LSTM","score":0.6990000009536743},{"id":"https://openalex.org/keywords/xgboost","display_name":"XGBoost","score":0.9980000257492065},{"id":"https://openalex.org/keywords/hybrid-model","display_name":"hybrid model","score":0.6959999799728394},{"id":"https://openalex.org/keywords/energy-efficiency","display_name":"energy efficiency","score":0.7269999980926514},{"id":"https://openalex.org/keywords/battery-life","display_name":"battery life","score":0.6629999876022339},{"id":"https://openalex.org/keywords/biomarkers","display_name":"biomarkers","score":0.47699999809265137}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8171229958534241},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5948758125305176},{"id":"https://openalex.org/C2779055241","wikidata":"https://www.wikidata.org/wiki/Q644240","display_name":"Biosignal","level":3,"score":0.5638759136199951},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.5551681518554688},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.4686053991317749},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.45865437388420105},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.45581334829330444},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.4502304792404175},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.31344687938690186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.292483389377594},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.15461072325706482},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09954693913459778},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08868271112442017},{"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iicaiet55139.2022.9936793","doi":"https://doi.org/10.1109/iicaiet55139.2022.9936793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iicaiet55139.2022.9936793","pdf_url":null,"source":{"id":"https://openalex.org/S4363608273","display_name":"IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1943579973","https://openalex.org/W2046788142","https://openalex.org/W2069326401","https://openalex.org/W2106759147","https://openalex.org/W2110698038","https://openalex.org/W2117014758","https://openalex.org/W2126504700","https://openalex.org/W2138443314","https://openalex.org/W2295598076","https://openalex.org/W2343377801","https://openalex.org/W2396849518","https://openalex.org/W2407748010","https://openalex.org/W2753037664","https://openalex.org/W2779023332","https://openalex.org/W2907536137","https://openalex.org/W2917249005","https://openalex.org/W2962883369","https://openalex.org/W2963723012","https://openalex.org/W2997009477","https://openalex.org/W3008156141","https://openalex.org/W3015228848","https://openalex.org/W3041289875","https://openalex.org/W3120788774","https://openalex.org/W3128819666","https://openalex.org/W4210998197","https://openalex.org/W4225523380","https://openalex.org/W4230449744"],"related_works":["https://openalex.org/W4384158637","https://openalex.org/W252692483","https://openalex.org/W2547722108","https://openalex.org/W3194828902","https://openalex.org/W4303045068","https://openalex.org/W3120178795","https://openalex.org/W4205276103","https://openalex.org/W2601746789","https://openalex.org/W4318757073","https://openalex.org/W4390993499"],"abstract_inverted_index":{"Recent":[0],"development":[1],"in":[2,109],"wearable":[3,34],"sensor":[4],"technology":[5,41],"helps":[6],"to":[7,22,51,67,73,78,101],"collect":[8],"biological":[9],"signals":[10,69],"at":[11,70],"a":[12,62,93],"low":[13],"cost.":[14],"Collecting":[15],"and":[16,38,45,54,86,97,143,148,166],"analyzing":[17],"different":[18],"biomarkers":[19],"are":[20,36,126],"anticipated":[21],"improve":[23],"the":[24,71,75,82,103,120,123,137,145,157,161,164],"preventative":[25],"health":[26],"care":[27],"system":[28],"through":[29],"customized":[30],"medical":[31],"applications.":[32],"The":[33,129,152],"sensors":[35,72,165],"battery-operated":[37],"based":[39,118],"on":[40,119],"with":[42],"restricted":[43],"resources,":[44],"they":[46],"must":[47],"use":[48],"simple":[49],"approaches":[50],"handle":[52],"storage":[53,83,149],"energy":[55,76,146],"properly.":[56],"To":[57],"achieve":[58],"this":[59],"goal,":[60],"apply":[61],"lossy":[63],"predictive":[64],"coding-based":[65],"method":[66],"compress":[68],"reduce":[74],"needed":[77],"transmit":[79],"data,":[80],"minimize":[81],"space":[84,150],"required,":[85],"extend":[87],"battery":[88],"life.":[89],"This":[90],"paper":[91],"proposes":[92],"combination":[94],"of":[95,105,111,163],"Long-Short-Term-Memory(LSTM)":[96],"XGBoost-based":[98],"hybrid":[99],"model":[100,131,159],"address":[102],"challenge":[104],"sparse":[106],"signal":[107,124],"reconstruction":[108],"terms":[110],"multiple":[112],"sampling":[113],"vectors":[114,125],"under":[115],"compressed":[116],"sensing,":[117],"assumption":[121],"that":[122,156],"jointly":[127],"correlated.":[128],"Proposed":[130],"achieves":[132],"better":[133],"compression":[134],"efficiency":[135],"than":[136],"baseline":[138],"models":[139],"considered":[140],"for":[141],"comparison":[142],"minimizes":[144],"consumption":[147],"required.":[151],"performance":[153],"results":[154],"show":[155],"proposed":[158],"extends":[160],"lifetime":[162],"HSN.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2023-01-05T00:00:00"}