{"id":"https://openalex.org/W2168491628","doi":"https://doi.org/10.1109/titb.2009.2034845","title":"A Robust Approach Toward Recognizing Valid Arterial-Blood-Pressure Pulses","display_name":"A Robust Approach Toward Recognizing Valid Arterial-Blood-Pressure Pulses","publication_year":2009,"publication_date":"2009-11-03","ids":{"openalex":"https://openalex.org/W2168491628","doi":"https://doi.org/10.1109/titb.2009.2034845","mag":"2168491628","pmid":"https://pubmed.ncbi.nlm.nih.gov/19884099"},"language":"en","primary_location":{"id":"doi:10.1109/titb.2009.2034845","is_oa":false,"landing_page_url":"https://doi.org/10.1109/titb.2009.2034845","pdf_url":null,"source":{"id":"https://openalex.org/S68937846","display_name":"IEEE Transactions on Information Technology in Biomedicine","issn_l":"1089-7771","issn":["1089-7771","1558-0032"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Technology in Biomedicine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2887660","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042795366","display_name":"Shadnaz Asgari","orcid":"https://orcid.org/0000-0002-7801-0853"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"S. Asgari","raw_affiliation_strings":["Neural Systems and Dynamics Laboratory, Department of Neurosurgery, University of California, Los Angeles, CA 90024, USA. sasgari@mednet.ucla.edu","Neural Systems and Dynamics Laboratory, Department of Neurosurgery, University of California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Neural Systems and Dynamics Laboratory, Department of Neurosurgery, University of California, Los Angeles, CA 90024, USA. sasgari@mednet.ucla.edu","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"Neural Systems and Dynamics Laboratory, Department of Neurosurgery, University of California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109878675","display_name":"Marvin Bergsneider","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]},{"id":"https://openalex.org/I4210140243","display_name":"Samueli Institute","ror":"https://ror.org/03teef091","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210140243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Bergsneider","raw_affiliation_strings":["Neural Systems and Dynamics Laboratory, Department of Neurosurgery and Biomedical Engineering Graduate Program, Henry Samueli School of Engineering and AppliedScience, University of California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Neural Systems and Dynamics Laboratory, Department of Neurosurgery and Biomedical Engineering Graduate Program, Henry Samueli School of Engineering and AppliedScience, University of California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I4210140243","https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101551591","display_name":"Xiao Hu","orcid":"https://orcid.org/0000-0001-9478-5571"},"institutions":[{"id":"https://openalex.org/I4210140243","display_name":"Samueli Institute","ror":"https://ror.org/03teef091","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210140243"]},{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiao Hu","raw_affiliation_strings":["Neural Systems and Dynamics Laboratory, Department of Neurosurgery and Biomedical Engineering Graduate Program, Henry Samueli School of Engineering and AppliedScience, University of California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Neural Systems and Dynamics Laboratory, Department of Neurosurgery and Biomedical Engineering Graduate Program, Henry Samueli School of Engineering and AppliedScience, University of California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I4210140243","https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5042795366"],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":null,"apc_paid":null,"fwci":1.6038,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.83784217,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"14","issue":"1","first_page":"166","last_page":"172"},"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/T11700","display_name":"Hemodynamic Monitoring and Therapy","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T13248","display_name":"Healthcare Technology and Patient Monitoring","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/waveform","display_name":"Waveform","score":0.7364636659622192},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.7054773569107056},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6555894613265991},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5793192982673645},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5437307953834534},{"id":"https://openalex.org/keywords/blood-pressure","display_name":"Blood pressure","score":0.47850528359413147},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46299299597740173},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4375111162662506},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43727806210517883},{"id":"https://openalex.org/keywords/abnormality","display_name":"Abnormality","score":0.4367130696773529},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3880677819252014},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3804163336753845},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3367220163345337},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2871628701686859},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.16152331233024597}],"concepts":[{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.7364636659622192},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.7054773569107056},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6555894613265991},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5793192982673645},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5437307953834534},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.47850528359413147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46299299597740173},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4375111162662506},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43727806210517883},{"id":"https://openalex.org/C50965678","wikidata":"https://www.wikidata.org/wiki/Q2724302","display_name":"Abnormality","level":2,"score":0.4367130696773529},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3880677819252014},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3804163336753845},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3367220163345337},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2871628701686859},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.16152331233024597},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001794","descriptor_name":"Blood Pressure","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001794","descriptor_name":"Blood Pressure","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001794","descriptor_name":"Blood Pressure","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001794","descriptor_name":"Blood Pressure","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/titb.2009.2034845","is_oa":false,"landing_page_url":"https://doi.org/10.1109/titb.2009.2034845","pdf_url":null,"source":{"id":"https://openalex.org/S68937846","display_name":"IEEE Transactions on Information Technology in Biomedicine","issn_l":"1089-7771","issn":["1089-7771","1558-0032"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Technology in Biomedicine","raw_type":"journal-article"},{"id":"pmid:19884099","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/19884099","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:2887660","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2887660","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Inf Technol Biomed","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:2887660","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2887660","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Inf Technol Biomed","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W89923027","https://openalex.org/W123383673","https://openalex.org/W1514337951","https://openalex.org/W1659725278","https://openalex.org/W2002971490","https://openalex.org/W2004487242","https://openalex.org/W2011153157","https://openalex.org/W2021044602","https://openalex.org/W2024161961","https://openalex.org/W2033877969","https://openalex.org/W2099263539","https://openalex.org/W2102664278","https://openalex.org/W2109197536","https://openalex.org/W2122966699","https://openalex.org/W2125927307","https://openalex.org/W2136689368","https://openalex.org/W2141785376","https://openalex.org/W2150724348","https://openalex.org/W2150900351","https://openalex.org/W2159348352","https://openalex.org/W2162800060","https://openalex.org/W2163624457","https://openalex.org/W2167993374","https://openalex.org/W2169337741","https://openalex.org/W2170195027","https://openalex.org/W3151043256","https://openalex.org/W6637170559","https://openalex.org/W6680801884","https://openalex.org/W6682007033"],"related_works":["https://openalex.org/W1974895211","https://openalex.org/W2176409448","https://openalex.org/W2129841057","https://openalex.org/W4243456421","https://openalex.org/W3040712279","https://openalex.org/W4247543202","https://openalex.org/W2364769705","https://openalex.org/W4367555392","https://openalex.org/W2374664672","https://openalex.org/W2348795485"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,64,74,136,151],"projection":[3,29,59,122],"method":[4,60,178],"based":[5,128],"on":[6,33,129],"singular":[7],"value":[8],"decomposition":[9],"(SVD)":[10],"to":[11,20,82,172,188],"validate":[12],"arterial":[13],"blood":[14],"pressure":[15],"(ABP)":[16],"signal":[17,68,127],"in":[18,25,43,85],"order":[19],"avoid":[21],"artifacts":[22],"and":[23,76,79,106,150],"noise":[24],"subsequent":[26],"processing.":[27],"The":[28,90,120],"has":[30,80],"been":[31],"done":[32],"567":[34],"validated":[35],"ABP":[36,88,97,101],"beats":[37],"collected":[38],"from":[39,111],"51":[40],"patients":[41],"hospitalized":[42],"University":[44],"of":[45,56,63,94,103,132,141,147,156,162,165,167,176,198],"California,":[46],"Los":[47],"Angeles":[48],"Medical":[49],"Center.":[50],"Then,":[51],"we":[52],"compare":[53],"the":[54,57,87,126,130,133,148,168,173,182,186,192,195],"performance":[55,183],"proposed":[58,121],"with":[61],"that":[62,124,146,161],"previously":[65],"developed":[66],"algorithm,":[67],"abnormality":[69,170],"index":[70],"(SAI),":[71],"which":[72],"is":[73],"value-":[75],"trend-based":[77],"approach,":[78],"shown":[81],"be":[83],"effective":[84],"cleaning":[86],"waveforms.":[89],"testing":[91],"dataset":[92],"consists":[93],"1336":[95],"ten-second":[96],"segments":[98],"(18":[99],"472":[100],"beats)":[102],"both":[104],"valid":[105],"invalid":[107],"pulses":[108],"selected":[109],"randomly":[110],"multiparameter":[112],"intelligent":[113],"monitoring":[114],"for":[115],"intensive":[116],"care":[117],"II":[118],"database.":[119],"approach":[123],"validates":[125],"shape":[131],"waveform":[134],"achieves":[135],"true":[137],"positive":[138,153],"rate":[139,154,197],"(TPR)":[140],"99.06%,":[142],"5.43%":[143],"higher":[144],"than":[145,160],"SAI,":[149],"false":[152],"(FPR)":[155],"7.69%,":[157],"17.38%":[158],"lower":[159],"SAI.":[163],"Integration":[164],"some":[166],"SAI-value-based":[169],"conditions":[171],"validation":[174],"process":[175],"SVD-based":[177],"can":[179],"further":[180],"improve":[181],"by":[184],"reducing":[185],"FPR":[187],"3.92%,":[189],"while":[190],"keeping":[191],"TPR":[193],"at":[194],"high":[196],"99.05%.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}