{"id":"https://openalex.org/W2899565182","doi":"https://doi.org/10.3390/proceedings2190513","title":"Wearable Intelligent System for the Diagnosis of Cardiac Diseases Working in Real Time and with Low Energy Cost","display_name":"Wearable Intelligent System for the Diagnosis of Cardiac Diseases Working in Real Time and with Low Energy Cost","publication_year":2018,"publication_date":"2018-11-02","ids":{"openalex":"https://openalex.org/W2899565182","doi":"https://doi.org/10.3390/proceedings2190513","mag":"2899565182"},"language":"en","primary_location":{"id":"doi:10.3390/proceedings2190513","is_oa":true,"landing_page_url":"https://doi.org/10.3390/proceedings2190513","pdf_url":"https://www.mdpi.com/2504-3900/2/19/513/pdf?version=1541139052","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"UCAmI 2018","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2504-3900/2/19/513/pdf?version=1541139052","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058407177","display_name":"Olga Valenzuela","orcid":"https://orcid.org/0000-0001-6034-9392"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Olga Valenzuela","raw_affiliation_strings":["Department Applied Mathematics, University of Granada, 18071 Granada, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department Applied Mathematics, University of Granada, 18071 Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010558641","display_name":"Beatriz Prieto","orcid":"https://orcid.org/0000-0003-0187-6533"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Beatriz Prieto","raw_affiliation_strings":["Department Computer Architecture and Computer Technology (CITIC-UGR), University of Granada, 18071 Granada, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department Computer Architecture and Computer Technology (CITIC-UGR), University of Granada, 18071 Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078975048","display_name":"Elvira Delgado-M\u00e1rquez","orcid":null},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Elvira Delgado-Marquez","raw_affiliation_strings":["Department Applied Mathematics, University of Granada, 18071 Granada, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department Applied Mathematics, University of Granada, 18071 Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039951150","display_name":"H. Pomares","orcid":"https://orcid.org/0000-0002-8528-828X"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Hector Pomares","raw_affiliation_strings":["Department Computer Architecture and Computer Technology (CITIC-UGR), University of Granada, 18071 Granada, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department Computer Architecture and Computer Technology (CITIC-UGR), University of Granada, 18071 Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089029287","display_name":"Ignacio Rojas","orcid":"https://orcid.org/0000-0002-1033-5635"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ignacio Rojas","raw_affiliation_strings":["Department Computer Architecture and Computer Technology (CITIC-UGR), University of Granada, 18071 Granada, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department Computer Architecture and Computer Technology (CITIC-UGR), University of Granada, 18071 Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5058407177"],"corresponding_institution_ids":["https://openalex.org/I173304897"],"apc_list":null,"apc_paid":null,"fwci":0.1743,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59592375,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"513","last_page":"513"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9046000242233276,"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":0.9046000242233276,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7783329486846924},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.709568977355957},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7015992403030396},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5709697008132935},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5580068826675415},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.49616655707359314},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.47922948002815247},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4651554226875305},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.45359912514686584},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4303070306777954},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4202289581298828},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41784530878067017},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4002799689769745},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34083008766174316},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.14247438311576843},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09925949573516846}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7783329486846924},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.709568977355957},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7015992403030396},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5709697008132935},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5580068826675415},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49616655707359314},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.47922948002815247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4651554226875305},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.45359912514686584},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4303070306777954},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4202289581298828},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41784530878067017},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4002799689769745},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34083008766174316},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.14247438311576843},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09925949573516846},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/proceedings2190513","is_oa":true,"landing_page_url":"https://doi.org/10.3390/proceedings2190513","pdf_url":"https://www.mdpi.com/2504-3900/2/19/513/pdf?version=1541139052","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"UCAmI 2018","raw_type":"proceedings-article"},{"id":"pmh:oai:digibug.ugr.es:10481/55355","is_oa":true,"landing_page_url":"http://hdl.handle.net/10481/55355","pdf_url":null,"source":{"id":"https://openalex.org/S4306400567","display_name":"Institutional Repository of the University of Granada (University of Granada)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I173304897","host_organization_name":"Universidad de Granada","host_organization_lineage":["https://openalex.org/I173304897"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:537f118455314e3689bf7a4c31f0a317","is_oa":true,"landing_page_url":"https://doaj.org/article/537f118455314e3689bf7a4c31f0a317","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings, Vol 2, Iss 19, p 513 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/proceedings2190513","is_oa":true,"landing_page_url":"https://doi.org/10.3390/proceedings2190513","pdf_url":"https://www.mdpi.com/2504-3900/2/19/513/pdf?version=1541139052","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"UCAmI 2018","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8299999833106995,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2899565182.pdf","grobid_xml":"https://content.openalex.org/works/W2899565182.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W2044026595","https://openalex.org/W2096207160","https://openalex.org/W2162800060","https://openalex.org/W2592640839","https://openalex.org/W2604017450","https://openalex.org/W2612184698","https://openalex.org/W2736169998","https://openalex.org/W2755499309","https://openalex.org/W2755507768","https://openalex.org/W2792543406","https://openalex.org/W2804472727"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W2126145365","https://openalex.org/W2036609560","https://openalex.org/W346861917","https://openalex.org/W3024018414","https://openalex.org/W385273440","https://openalex.org/W1585144779"],"abstract_inverted_index":{"Heart":[0],"disease":[1],"is":[2,16,180],"currently":[3],"one":[4],"of":[5,9,20,34,46,48,54,75,79,105,147,152,188],"the":[6,103,123,145,150,174,185,189],"leading":[7],"causes":[8],"death":[10],"in":[11,122],"developed":[12],"countries.":[13],"The":[14],"electrocardiogram":[15],"an":[17,31],"important":[18],"source":[19],"information":[21],"for":[22,69],"identifying":[23],"these":[24,38],"conditions,":[25],"therefore,":[26],"becomes":[27],"necessary":[28],"to":[29,60,87,118,136,183],"seek":[30],"advanced":[32],"system":[33],"diagnosis":[35],"based":[36,90],"on":[37,91,192],"signals.":[39],"In":[40],"this":[41,148],"paper":[42],"we":[43,161],"used":[44,68],"samples":[45],"electrocardiograms":[47],"MIT-related":[49],"database":[50],"with":[51],"ten":[52],"types":[53],"pathologies":[55],"and":[56,67,97,132,176],"a":[57,76,138],"rate":[58],"corresponding":[59],"normal":[61],"(healthy":[62],"patient),":[63],"which":[64,168],"are":[65],"processed":[66],"extraction":[70],"from":[71],"its":[72],"two":[73],"branches":[74],"wide":[77],"range":[78],"features.":[80],"Next,":[81],"various":[82],"techniques":[83,115],"have":[84,111],"been":[85,112,191],"applied":[86],"feature":[88],"selection":[89],"genetic":[92],"algorithms,":[93],"principal":[94],"component":[95],"analysis":[96,140],"mutual":[98],"information.":[99],"To":[100],"carry":[101],"out":[102],"task":[104],"intelligent":[106],"classification,":[107],"3":[108],"different":[109],"scenarios":[110],"considered.":[113],"These":[114],"allow":[116],"us":[117],"achieve":[119],"greater":[120],"efficiency":[121],"classification":[124],"methods":[125],"used,":[126],"namely":[127],"support":[128],"vector":[129],"machines":[130],"(SVM)":[131],"decision":[133],"trees":[134],"(DT)":[135],"perform":[137],"comparative":[139],"between":[141],"them.":[142],"Finally,":[143],"during":[144],"development":[146],"contribution,":[149],"use":[151],"very":[153,181],"non-invasive":[154],"devices":[155],"(2":[156],"channel":[157],"ECG)":[158],"was":[159],"analyzed,":[160],"could":[162],"practically":[163],"classify":[164],"them":[165],"as":[166],"wearable,":[167],"would":[169],"not":[170],"need":[171],"interaction":[172],"by":[173],"user,":[175],"whose":[177],"energy":[178],"consumption":[179],"small":[182],"extend":[184],"average":[186],"life":[187],"user":[190],"it.":[193]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
