{"id":"https://openalex.org/W2997643619","doi":"https://doi.org/10.1109/latincom48065.2019.8937861","title":"Filtering Parameters Selection Method and Peaks Extraction for ECG and PPG Signals","display_name":"Filtering Parameters Selection Method and Peaks Extraction for ECG and PPG Signals","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W2997643619","doi":"https://doi.org/10.1109/latincom48065.2019.8937861","mag":"2997643619"},"language":"en","primary_location":{"id":"doi:10.1109/latincom48065.2019.8937861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/latincom48065.2019.8937861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Latin-American Conference on Communications (LATINCOM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5008392428","display_name":"Lucas Bastos","orcid":"https://orcid.org/0000-0002-4862-0407"},"institutions":[{"id":"https://openalex.org/I59606676","display_name":"Universidade Federal do Par\u00e1","ror":"https://ror.org/03q9sr818","country_code":"BR","type":"education","lineage":["https://openalex.org/I59606676"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"L. Bastos","raw_affiliation_strings":["Federal University of Par\u00b4a, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Par\u00b4a, Brazil","institution_ids":["https://openalex.org/I59606676"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029447124","display_name":"D\u00eanis Ros\u00e1rio","orcid":"https://orcid.org/0000-0003-1119-2450"},"institutions":[{"id":"https://openalex.org/I59606676","display_name":"Universidade Federal do Par\u00e1","ror":"https://ror.org/03q9sr818","country_code":"BR","type":"education","lineage":["https://openalex.org/I59606676"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"D. Rosario","raw_affiliation_strings":["Federal University of Par\u00b4a, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Par\u00b4a, Brazil","institution_ids":["https://openalex.org/I59606676"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052758924","display_name":"Eduardo Cerqueira","orcid":"https://orcid.org/0000-0003-2162-6523"},"institutions":[{"id":"https://openalex.org/I59606676","display_name":"Universidade Federal do Par\u00e1","ror":"https://ror.org/03q9sr818","country_code":"BR","type":"education","lineage":["https://openalex.org/I59606676"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"E. Cerqueira","raw_affiliation_strings":["Federal University of Par\u00b4a, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Par\u00b4a, Brazil","institution_ids":["https://openalex.org/I59606676"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104946815","display_name":"Aldri Santos","orcid":"https://orcid.org/0000-0002-5861-4414"},"institutions":[{"id":"https://openalex.org/I59606676","display_name":"Universidade Federal do Par\u00e1","ror":"https://ror.org/03q9sr818","country_code":"BR","type":"education","lineage":["https://openalex.org/I59606676"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"A. Santos","raw_affiliation_strings":["NR2/CCSC, Federal University of Par\u00b4a, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NR2/CCSC, Federal University of Par\u00b4a, Brazil","institution_ids":["https://openalex.org/I59606676"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028233772","display_name":"Michele Nogueira","orcid":"https://orcid.org/0000-0001-5427-2384"},"institutions":[{"id":"https://openalex.org/I59606676","display_name":"Universidade Federal do Par\u00e1","ror":"https://ror.org/03q9sr818","country_code":"BR","type":"education","lineage":["https://openalex.org/I59606676"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"M. Nogueira","raw_affiliation_strings":["NR2/CCSC, Federal University of Par\u00b4a, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NR2/CCSC, Federal University of Par\u00b4a, Brazil","institution_ids":["https://openalex.org/I59606676"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59606676"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9998999834060669,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9998999834060669,"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":"ECG Monitoring and Analysis","score":0.9980999827384949,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/photoplethysmogram","display_name":"Photoplethysmogram","score":0.7459485530853271},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.710294783115387},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6157972812652588},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5951467752456665},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5797547698020935},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5591461658477783},{"id":"https://openalex.org/keywords/identifier","display_name":"Identifier","score":0.5098568797111511},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4846825897693634},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.478211373090744},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.47085922956466675},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.46822211146354675},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4522153437137604},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.433646023273468},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3484777808189392},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.28360098600387573}],"concepts":[{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.7459485530853271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.710294783115387},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6157972812652588},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5951467752456665},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5797547698020935},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5591461658477783},{"id":"https://openalex.org/C154504017","wikidata":"https://www.wikidata.org/wiki/Q853614","display_name":"Identifier","level":2,"score":0.5098568797111511},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4846825897693634},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.478211373090744},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.47085922956466675},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.46822211146354675},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4522153437137604},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.433646023273468},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3484777808189392},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.28360098600387573},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/latincom48065.2019.8937861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/latincom48065.2019.8937861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Latin-American Conference on Communications (LATINCOM)","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":18,"referenced_works":["https://openalex.org/W210359992","https://openalex.org/W2083872334","https://openalex.org/W2107820561","https://openalex.org/W2157519031","https://openalex.org/W2165170334","https://openalex.org/W2327960307","https://openalex.org/W2518937691","https://openalex.org/W2522146934","https://openalex.org/W2552408385","https://openalex.org/W2755202067","https://openalex.org/W2776923905","https://openalex.org/W2783069816","https://openalex.org/W2802068140","https://openalex.org/W2937543702","https://openalex.org/W2964061102","https://openalex.org/W2974322885","https://openalex.org/W4247761207","https://openalex.org/W6761898732"],"related_works":["https://openalex.org/W4297152434","https://openalex.org/W2732360296","https://openalex.org/W1994871954","https://openalex.org/W2072858761","https://openalex.org/W4200107443","https://openalex.org/W4239033438","https://openalex.org/W1540261775","https://openalex.org/W1968279762","https://openalex.org/W4318970012","https://openalex.org/W2350223345"],"abstract_inverted_index":{"With":[0],"the":[1,19,38,73,80,99,104,129,131,151],"growth":[2],"of":[3,18,116,140],"electronic":[4],"E-health,":[5],"wearable":[6],"devices":[7,23],"have":[8],"highlighted":[9],"due":[10],"to":[11,128,147],"its":[12],"practicality":[13],"and":[14,33,67,78,98,101,122,125,146,155,171],"comfort":[15],"in":[16,37,49,89],"sensing":[17],"personal":[20],"data.":[21],"Those":[22],"gather":[24],"biosignals":[25],"for":[26,47,120,134],"heart":[27],"rate":[28],"measurements,":[29],"blood":[30],"oxygenation":[31],"checks,":[32],"identification.":[34],"From":[35,82],"sensors":[36,62],"devices,":[39],"electrocardiogram":[40],"(ECG),":[41],"photoplethysmogram":[42],"(PPG)":[43],"generate":[44],"unique":[45],"identifiers":[46],"use":[48],"identifying":[50],"people,":[51],"just":[52],"like":[53],"fingerprint,":[54],"faceid,":[55],"iris,":[56],"among":[57],"others.":[58],"Every":[59],"process":[60],"with":[61,72],"has":[63],"noises,":[64],"electromagnetic":[65],"waves,":[66],"movement":[68],"that":[69],"can":[70],"interfere":[71],"system":[74],"when":[75],"identifying,":[76],"analyzing,":[77],"checking":[79],"individual.":[81],"this,":[83],"filtering":[84,105,118],"is":[85,94,103,163],"an":[86,165],"indispensable":[87],"step":[88],"any":[90,135],"process.":[91],"The":[92],"identification":[93],"divided":[95],"into":[96],"stages,":[97],"main":[100],"essential":[102],"because":[106],"where":[107],"preprocessing":[108],"starts.":[109],"Thus,":[110],"this":[111],"work":[112],"proposes":[113],"a":[114,138,159],"method":[115],"select":[117],"parameters":[119],"ECG":[121],"PPG":[123],"signals":[124],"peaks":[126],"extraction":[127,144],"purpose":[130],"apply":[132],"them":[133],"dataset,":[136],"following":[137],"sequence":[139],"steps,":[141],"filtering,":[142],"characteristics":[143],"(Peaks)":[145],"affirm":[148],"our":[149],"model":[150],"correlation":[152,167],"between":[153,168],"filtered":[154,172],"raw":[156,169],"waves":[157,170],"performing":[158],"wave":[160],"overlap.":[161],"It":[162],"achieving":[164],"80%":[166],"waves.":[173]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
