{"id":"https://openalex.org/W4389945182","doi":"https://doi.org/10.1161/circ.148.suppl_1.13997","title":"Abstract 13997: Identification of Novel Spectral Densities in Arterial Pressure Time Series for Cardiovascular Risk Stratification in Early Prediabetes: Machine Learning Beyond Conventional Frequency Domain Analysis","display_name":"Abstract 13997: Identification of Novel Spectral Densities in Arterial Pressure Time Series for Cardiovascular Risk Stratification in Early Prediabetes: Machine Learning Beyond Conventional Frequency Domain Analysis","publication_year":2023,"publication_date":"2023-11-07","ids":{"openalex":"https://openalex.org/W4389945182","doi":"https://doi.org/10.1161/circ.148.suppl_1.13997"},"language":"en","primary_location":{"id":"doi:10.1161/circ.148.suppl_1.13997","doi":"https://doi.org/10.1161/circ.148.suppl_1.13997","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1161/circ.148.suppl_1.13997","pdf_url":null,"source":{"id":"https://openalex.org/S116251202","display_name":"Circulation","issn_l":"0009-7322","issn":["0009-7322","1524-4539"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-3","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310315671","host_organization_name":"Lippincott Williams & Wilkins","host_organization_lineage":["https://openalex.org/P4310315671","https://openalex.org/P4310318547"],"host_organization_lineage_names":["Lippincott Williams & Wilkins","Wolters Kluwer"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Circulation","raw_type":"journal-article"},"volume":null,"type":"conference-abstract","is_traditional":false,"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/A5011342997","display_name":"Abdalrhman Mostafa","orcid":"https://orcid.org/0000-0003-2332-0333","observed_orcids":["https://orcid.org/0000-0003-2332-0333"]},"institutions":[{"id":"https://openalex.org/I159247623","display_name":"Mansoura University","ror":"https://ror.org/01k8vtd75","country_code":"EG","type":"education","lineage":["https://openalex.org/I159247623"]},{"id":"https://openalex.org/I4210090611","display_name":"Mansoura University Hospital","ror":"https://ror.org/00c8rjz37","country_code":"EG","type":"healthcare","lineage":["https://openalex.org/I4210090611"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Abdalrhman Mostafa","raw_affiliation_strings":["Mansoura Univ Hosps, Mansoura, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mansoura Univ Hosps, Mansoura, Egypt","institution_ids":["https://openalex.org/I159247623","https://openalex.org/I4210090611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003088070","display_name":"Nour\u2010Mounira Z. Bakkar","orcid":"https://orcid.org/0000-0002-6403-9348","observed_orcids":["https://orcid.org/0000-0002-6403-9348"]},"institutions":[{"id":"https://openalex.org/I98635879","display_name":"American University of Beirut","ror":"https://ror.org/04pznsd21","country_code":"LB","type":"education","lineage":["https://openalex.org/I98635879"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Nour-Mounira Bakkar","raw_affiliation_strings":["Pharmacology and Toxicology, American Univ of Beirut, Beirut, Lebanon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pharmacology and Toxicology, American Univ of Beirut, Beirut, Lebanon","institution_ids":["https://openalex.org/I98635879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056380971","display_name":"Mohamed Abdelhack","orcid":"https://orcid.org/0000-0002-6753-3237","observed_orcids":["https://orcid.org/0000-0002-6753-3237"]},"institutions":[{"id":"https://openalex.org/I1338135719","display_name":"Centre for Addiction and Mental Health","ror":"https://ror.org/03e71c577","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1338135719"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohamed Abdelhack","raw_affiliation_strings":["Cntr for Addition and Mental Health, Krembil Cntr for Neuroinformatics, Toronto, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cntr for Addition and Mental Health, Krembil Cntr for Neuroinformatics, Toronto, Canada","institution_ids":["https://openalex.org/I1338135719"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081142003","display_name":"Ahmed Fawzy EL\u2010Yazbi","orcid":"https://orcid.org/0000-0003-3432-3038","observed_orcids":["https://orcid.org/0000-0003-3432-3038"]},"institutions":[{"id":"https://openalex.org/I4210090507","display_name":"AlAlamein International University","ror":"https://ror.org/0019h0z47","country_code":"EG","type":"education","lineage":["https://openalex.org/I4210090507"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Ahmed F El-Yazbi","raw_affiliation_strings":["Alamein International Univ, Alamein, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alamein International Univ, Alamein, Egypt","institution_ids":["https://openalex.org/I4210090507"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"148","issue":"Suppl_1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.5054000020027161,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.5054000020027161,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.19679999351501465,"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/T10144","display_name":"Blood Pressure and Hypertension Studies","score":0.07980000227689743,"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/prediabetes","display_name":"prediabetes","score":0.8190000057220459},{"id":"https://openalex.org/keywords/cardiovascular-risk-stratification","display_name":"cardiovascular risk stratification","score":0.9919999837875366},{"id":"https://openalex.org/keywords/blood-pressure-variability","display_name":"blood pressure variability","score":0.8830000162124634},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.6970000267028809},{"id":"https://openalex.org/keywords/spectrogram","display_name":"spectrogram","score":0.7160000205039978},{"id":"https://openalex.org/keywords/short-time-fourier-transform","display_name":"short-time Fourier transform","score":0.7689999938011169},{"id":"https://openalex.org/keywords/saliency-maps","display_name":"saliency maps","score":0.859000027179718},{"id":"https://openalex.org/keywords/power-spectral-density","display_name":"power spectral density","score":0.953000009059906},{"id":"https://openalex.org/keywords/type-2-diabetes","display_name":"type 2 diabetes","score":0.8100000023841858},{"id":"https://openalex.org/keywords/high-calorie-diet","display_name":"hypercaloric diet","score":0.8899999856948853},{"id":"https://openalex.org/keywords/sex-differences","display_name":"sex differences","score":0.7020000219345093},{"id":"https://openalex.org/keywords/age-differences","display_name":"age differences","score":0.7490000128746033},{"id":"https://openalex.org/keywords/rats","display_name":"rats","score":0.335999995470047}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.7655853033065796},{"id":"https://openalex.org/C2779668308","wikidata":"https://www.wikidata.org/wiki/Q2087205","display_name":"Prediabetes","level":4,"score":0.7242562770843506},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.6006209850311279},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5312222242355347},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.46420130133628845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44626280665397644},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.4244905114173889},{"id":"https://openalex.org/C2777180221","wikidata":"https://www.wikidata.org/wiki/Q3025883","display_name":"Type 2 diabetes","level":3,"score":0.4071351885795593},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.3808109164237976},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.36526012420654297},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.35626012086868286},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32384541630744934},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.29999446868896484},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22100111842155457},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.17183786630630493},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1161/circ.148.suppl_1.13997","doi":"https://doi.org/10.1161/circ.148.suppl_1.13997","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1161/circ.148.suppl_1.13997","pdf_url":null,"source":{"id":"https://openalex.org/S116251202","display_name":"Circulation","issn_l":"0009-7322","issn":["0009-7322","1524-4539"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-3","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310315671","host_organization_name":"Lippincott Williams & Wilkins","host_organization_lineage":["https://openalex.org/P4310315671","https://openalex.org/P4310318547"],"host_organization_lineage_names":["Lippincott Williams & Wilkins","Wolters Kluwer"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Circulation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9537000060081482,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4396850001","https://openalex.org/W4398174627","https://openalex.org/W4377029449","https://openalex.org/W4385737818","https://openalex.org/W4410911326","https://openalex.org/W7160831109","https://openalex.org/W4283393820","https://openalex.org/W2898457169","https://openalex.org/W7079685630","https://openalex.org/W4206812267"],"abstract_inverted_index":{"Introduction:":[0],"Despite":[1],"the":[2,35,171,176,184,269],"extensive":[3],"use":[4],"of":[5,10,48,73,103,113,143,154,236,249],"average":[6],"BP":[7,20,50],"for":[8,45,53,120,138,162,183,187,245,251,257],"diagnosis":[9],"cardiovascular":[11],"disease":[12],"(CVD),":[13],"research":[14],"has":[15],"shown":[16],"that":[17,59],"changes":[18],"in":[19,66,82,227],"variability":[21],"can":[22],"better":[23],"reflect":[24],"CV":[25,79,224,258,273],"deterioration.":[26],"As":[27],"patients":[28],"with":[29,37,63,272],"type":[30],"2":[31],"diabetes":[32],"present":[33],"to":[34,95,157,215],"clinic":[36],"pre-established":[38],"CVD,":[39],"there":[40],"is":[41],"a":[42,88,117,266],"pressing":[43],"need":[44],"early":[46,83,228],"identification":[47],"aberrant":[49],"fluctuations":[51],"useful":[52],"risk":[54,80,259,274],"appraisal.":[55],"Hypothesis:":[56],"We":[57,86],"hypothesized":[58],"deep":[60],"learning":[61],"models":[62],"superior":[64],"capacity":[65],"feature":[67],"extraction":[68],"would":[69],"enable":[70],"comprehensive":[71],"characterization":[72],"arterial":[74],"pressure":[75],"(AP)":[76],"time-series":[77,174],"allowing":[78],"stratification":[81,275],"prediabetes.":[84],"Methods:":[85],"trained":[87],"convolutional":[89],"neural":[90],"network":[91],"(CNN,":[92],"Figure":[93],"1A)":[94],"classify":[96],"spectrograms":[97,213],"generated":[98,151],"using":[99,200,276],"short-term":[100],"Fourier":[101],"transforms":[102],"beat-to-beat":[104],"AP":[105,173,212],"signals":[106],"collected":[107],"from":[108],"control":[109],"vs.":[110],"prediabetic":[111],"rats":[112],"both":[114],"sexes":[115],"fed":[116],"high-calorie":[118],"diet":[119,198,219],"12":[121],"or":[122],"24":[123],"weeks,":[124],"representing":[125],"young":[126],"and":[127,140,146,175,197,203,218,222,240],"old":[128],"rats.":[129],"Model":[130],"performance":[131],"was":[132,168,254],"assessed":[133],"on":[134,170],"different":[135],"sampling":[136],"rates":[137],"binary":[139],"multi-level":[141],"classifications":[142],"sex,":[144,195,217],"age,":[145,196,216],"diet.":[147],"Saliency":[148,232],"maps":[149,233],"were":[150,181,192],"by":[152],"back-propagation":[153],"model":[155,209],"scores":[156],"extract":[158],"frequency":[159,165],"values":[160],"crucial":[161,244],"classification.":[163,247],"Conventional":[164],"domain":[166],"analysis":[167],"performed":[169],"original":[172],"power":[177],"spectral":[178],"densities":[179],"(PSD)":[180],"determined":[182],"frequencies":[185,235,253],"identified":[186,234],"each":[188],"classification":[189],"task.":[190],"PSD":[191],"compared":[193],"among":[194],"groups":[199],"3-way":[201],"ANOVA":[202],"principal":[204],"component":[205],"analysis.":[206],"Results:":[207],"The":[208],"successfully":[210],"classified":[211],"according":[214],"revealing":[220],"sex-":[221],"age-specific":[223],"deteriorative":[225],"processes":[226],"prediabetes":[229],"(Figure":[230,261],"1B-E).":[231],"2,":[237],"13,":[238],"19,":[239],"43":[241],"Hz":[242],"as":[243],"DietxAgexSex":[246],"Comparison":[248],"PSDs":[250],"these":[252],"not":[255],"sufficient":[256],"separation":[260],"1F,":[262],"G).":[263],"Conclusions:":[264],"Employing":[265],"CNN":[267],"overcomes":[268],"shortcomings":[270],"associated":[271],"conventional":[277],"methods.":[278]},"counts_by_year":[],"updated_date":"2026-09-22T06:50:58.402377","created_date":"2023-12-20T00:00:00"}