{"id":"https://openalex.org/W4390606147","doi":"https://doi.org/10.1109/icm60448.2023.10378899","title":"An ECG-Based Blood Pressure Estimation Using U-Net auto-encoder and Random Forest Regressor","display_name":"An ECG-Based Blood Pressure Estimation Using U-Net auto-encoder and Random Forest Regressor","publication_year":2023,"publication_date":"2023-12-17","ids":{"openalex":"https://openalex.org/W4390606147","doi":"https://doi.org/10.1109/icm60448.2023.10378899"},"language":"en","primary_location":{"id":"doi:10.1109/icm60448.2023.10378899","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icm60448.2023.10378899","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Microelectronics (ICM)","raw_type":"proceedings-article"},"type":"article","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/A5093657756","display_name":"Elham Alaa Aldein","orcid":null},"institutions":[{"id":"https://openalex.org/I97455420","display_name":"Sohag University","ror":"https://ror.org/02wgx3e98","country_code":"EG","type":"education","lineage":["https://openalex.org/I97455420"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Elham Alaa Aldein","raw_affiliation_strings":["Sohag University,Electrical Engineering Department,Sohag,Egypt","Electrical Engineering Department, Sohag University, Sohag, Egypt"],"affiliations":[{"raw_affiliation_string":"Sohag University,Electrical Engineering Department,Sohag,Egypt","institution_ids":["https://openalex.org/I97455420"]},{"raw_affiliation_string":"Electrical Engineering Department, Sohag University, Sohag, Egypt","institution_ids":["https://openalex.org/I97455420"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093657757","display_name":"Mohamed Abdleraheem","orcid":null},"institutions":[{"id":"https://openalex.org/I91041137","display_name":"Assiut University","ror":"https://ror.org/01jaj8n65","country_code":"EG","type":"education","lineage":["https://openalex.org/I91041137"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohamed Abdleraheem","raw_affiliation_strings":["Assuit University,Electrical Engineering Department,Assuit,Egypt","Electrical Engineering Department, Assuit University, Assuit, Egypt"],"affiliations":[{"raw_affiliation_string":"Assuit University,Electrical Engineering Department,Assuit,Egypt","institution_ids":["https://openalex.org/I91041137"]},{"raw_affiliation_string":"Electrical Engineering Department, Assuit University, Assuit, Egypt","institution_ids":["https://openalex.org/I91041137"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082289954","display_name":"Usama Sayed","orcid":"https://orcid.org/0000-0002-3539-0649"},"institutions":[{"id":"https://openalex.org/I4399598398","display_name":"Sphinx University","ror":"https://ror.org/0568jvs10","country_code":"EG","type":"education","lineage":["https://openalex.org/I4399598398"]},{"id":"https://openalex.org/I91041137","display_name":"Assiut University","ror":"https://ror.org/01jaj8n65","country_code":"EG","type":"education","lineage":["https://openalex.org/I91041137"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Usama Sayed Mohamed","raw_affiliation_strings":["Assuit University, Sphinx University,Electrical Engineering Department,Assuit,Egypt","Electrical Engineering Department, Assuit University, Sphinx University, Assuit, Egypt"],"affiliations":[{"raw_affiliation_string":"Assuit University, Sphinx University,Electrical Engineering Department,Assuit,Egypt","institution_ids":["https://openalex.org/I91041137"]},{"raw_affiliation_string":"Electrical Engineering Department, Assuit University, Sphinx University, Assuit, Egypt","institution_ids":["https://openalex.org/I91041137","https://openalex.org/I4399598398"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041785530","display_name":"Mohamed Atef","orcid":"https://orcid.org/0000-0002-3344-6127"},"institutions":[{"id":"https://openalex.org/I201726411","display_name":"United Arab Emirates University","ror":"https://ror.org/01km6p862","country_code":"AE","type":"education","lineage":["https://openalex.org/I201726411"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Mohamed Atef","raw_affiliation_strings":["United Arab Emirates University,Electrical Engineering Department,Al Ain,United Arab Emirates","Electrical Engineering Department, United Arab Emirates University, Al Ain, United Arab Emirates"],"affiliations":[{"raw_affiliation_string":"United Arab Emirates University,Electrical Engineering Department,Al Ain,United Arab Emirates","institution_ids":["https://openalex.org/I201726411"]},{"raw_affiliation_string":"Electrical Engineering Department, United Arab Emirates University, Al Ain, United Arab Emirates","institution_ids":["https://openalex.org/I201726411"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5093657756"],"corresponding_institution_ids":["https://openalex.org/I97455420"],"apc_list":null,"apc_paid":null,"fwci":0.3242,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.54879035,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"107","last_page":"112"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9991999864578247,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9987999796867371,"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/blood-pressure","display_name":"Blood pressure","score":0.7486743927001953},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6003732681274414},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5918881893157959},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.5262959599494934},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.522708535194397},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.515368640422821},{"id":"https://openalex.org/keywords/mean-absolute-error","display_name":"Mean absolute error","score":0.5143307447433472},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4818483591079712},{"id":"https://openalex.org/keywords/photoplethysmogram","display_name":"Photoplethysmogram","score":0.4385491907596588},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.34284716844558716},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33453935384750366},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.3137703835964203},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2500000596046448},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.21591010689735413},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21005982160568237},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20234975218772888},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15932735800743103},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.12541130185127258},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.08923748135566711}],"concepts":[{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.7486743927001953},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6003732681274414},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5918881893157959},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.5262959599494934},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.522708535194397},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.515368640422821},{"id":"https://openalex.org/C188154048","wikidata":"https://www.wikidata.org/wiki/Q6803609","display_name":"Mean absolute error","level":3,"score":0.5143307447433472},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4818483591079712},{"id":"https://openalex.org/C116390426","wikidata":"https://www.wikidata.org/wiki/Q7187885","display_name":"Photoplethysmogram","level":3,"score":0.4385491907596588},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.34284716844558716},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33453935384750366},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.3137703835964203},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2500000596046448},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.21591010689735413},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21005982160568237},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20234975218772888},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15932735800743103},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.12541130185127258},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.08923748135566711},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icm60448.2023.10378899","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icm60448.2023.10378899","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Microelectronics (ICM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1528687555","https://openalex.org/W1569045096","https://openalex.org/W2006359998","https://openalex.org/W2025206702","https://openalex.org/W2070972946","https://openalex.org/W2194775991","https://openalex.org/W2431637923","https://openalex.org/W2752782242","https://openalex.org/W2796697326","https://openalex.org/W2889917729","https://openalex.org/W2895212068","https://openalex.org/W2905364499","https://openalex.org/W2965846681","https://openalex.org/W2979803384","https://openalex.org/W2989562459","https://openalex.org/W2994652673","https://openalex.org/W3037304592","https://openalex.org/W3096038883","https://openalex.org/W3186099984","https://openalex.org/W3213530928","https://openalex.org/W4287781723","https://openalex.org/W4319160200","https://openalex.org/W6776640142"],"related_works":["https://openalex.org/W4247388746","https://openalex.org/W2314720829","https://openalex.org/W3178576217","https://openalex.org/W4221063543","https://openalex.org/W4285794683","https://openalex.org/W4385195237","https://openalex.org/W4286256617","https://openalex.org/W4362673848","https://openalex.org/W4310873162","https://openalex.org/W4385577504"],"abstract_inverted_index":{"Measurements":[0],"of":[1,40,65,78,82,116],"Blood":[2,126,131],"Pressure":[3,127,132],"(BP)":[4],"have":[5,20,47],"become":[6,22],"increasingly":[7,23],"widespread":[8],"in":[9,96],"both":[10],"clinical":[11],"and":[12,70,72,120,129],"private":[13],"settings.":[14],"In":[15],"parallel,":[16],"Electrocardiogram":[17],"(ECG)":[18],"monitors":[19,28],"also":[21],"prevalent.":[24],"However,":[25],"most":[26],"ECG":[27,58],"currently":[29],"available":[30],"do":[31],"not":[32],"include":[33],"the":[34,38,76,80,98,101,104,107],"ability":[35],"to":[36],"estimate":[37],"value":[39],"BP.":[41],"To":[42],"address":[43],"this":[44],"gap,":[45],"we":[46,73],"devised":[48],"a":[49,63,93],"novel":[50],"BP":[51,99],"estimation":[52],"approach":[53],"that":[54],"relies":[55],"solely":[56],"on":[57],"signals.":[59],"Our":[60],"methodology":[61],"involves":[62],"series":[64],"steps,":[66],"including":[67],"data":[68],"filtering,":[69],"segmentation,":[71],"thoroughly":[74],"investigated":[75],"potential":[77],"using":[79],"auto-encoders":[81],"U-Net":[83],"neural":[84],"network,":[85],"as":[86],"an":[87],"automatic":[88],"feature":[89],"extractor,":[90],"followed":[91],"by":[92],"regression":[94],"algorithm":[95],"predicting":[97],"from":[100],"ECG.":[102],"Using":[103],"MIMIC-II":[105],"dataset,":[106],"model":[108],"was":[109],"trained.":[110],"yielded":[111],"mean":[112],"absolute":[113],"errors":[114],"(MAE)":[115],"6.0\u00b14.49":[117],"mmHg":[118,123],"(MAE\u00b1STD)":[119],"2.":[121],"5\u00b13.7":[122],"for":[124],"Systolic":[125],"(SBP)":[128],"Diastolic":[130],"(DBP)":[133],"respectively.":[134]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}