[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100631593":3},{"organization":4,"armGroups":7,"interventions":10,"overallOfficials":12,"centralContacts":49,"locations":59,"responsibleParty":109,"collaborators":10,"id":112,"slug":113,"hasResults":114,"nctId":115,"briefTitle":116,"officialTitle":117,"acronym":10,"eligibilityCriteria":118,"healthyVolunteers":119,"sex":120,"minAge":121,"maxAge":10,"enrollmentInfo":122,"targetDuration":10,"studyType":125,"phases":10,"briefSummary":126,"conditions":127,"keywords":134,"overallStatus":142,"whyStopped":10,"lastUpdateSubmitDate":143,"lastUpdatePostDateStruct":144,"startDateStruct":147,"completionDateStruct":149,"leadSponsor":151,"locationsCount":152},{"fullName":5,"class":6},"Tarumanagara University","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":10},"Community Adults Undergoing rPPG and Standard Cardiovascular Assessment",null,"This cohort includes adults aged ≥30 years residing in Semanan, Jakarta, recruited through community-based sampling. Participants will undergo both index testing using remote photoplethysmography (rPPG) via facial video scan and reference standard assessments, including blood pressure measurement, heart rate evaluation, and laboratory testing (total cholesterol and HDL). Additional data such as age, sex, smoking status, and antihypertensive treatment will be collected. There is no intervention applied; all procedures are non-invasive and observational. The study aims to compare rPPG-derived cardiovascular parameters and risk estimates (ASCVD risk and Framingham heart age) with standard clinical measurements to assess agreement and validity.",[13,17,20,22,25,28,31,33,35,37,39,41,44,47],{"name":14,"affiliation":15,"role":16},"Ernawati Ernawati","Universitas Tarumanagara","PRINCIPAL_INVESTIGATOR",{"name":18,"affiliation":15,"role":19},"Yohanes Firmansyah","STUDY_DIRECTOR",{"name":21,"affiliation":15,"role":19},"Alexander Halim Santoso",{"name":23,"affiliation":24,"role":19},"David Wongso","DexWellness",{"name":26,"affiliation":27,"role":19},"Ratheesh Nair","Watch Your Health",{"name":29,"affiliation":15,"role":30},"Sri Tiarti","STUDY_CHAIR",{"name":32,"affiliation":15,"role":30},"Noer Saelan Tadjudin",{"name":34,"affiliation":15,"role":16},"Clement Drew",{"name":36,"affiliation":15,"role":19},"Zita Atzmardina",{"name":38,"affiliation":15,"role":19},"Andria Priyana",{"name":40,"affiliation":15,"role":30},"Putu Tommy Yudha Sumatera Suyasa",{"name":42,"affiliation":43,"role":19},"Kieren Nathan Wong","Monash University",{"name":45,"affiliation":46,"role":19},"Jaydee Kirani Wong","Melbourne University",{"name":48,"affiliation":15,"role":30},"Meiske Yunithree Suparman",[50,55],{"name":51,"role":52,"phone":53,"phoneExt":10,"email":54},"Alexander Halim Santoso, MD","CONTACT","+6281381606869","alexanders@fk.untar.ac.id",{"name":56,"role":52,"phone":57,"phoneExt":10,"email":58},"Ernawati Ernawati, Dr","+6281389048199","ernawati@fk.untar.ac.id",[60],{"facility":61,"status":10,"city":62,"state":63,"zip":10,"country":64,"countryCode":65,"cosmosGeoPoint":66,"geoPoint":71,"contacts":72},"Kelurahan Semanan","Jakarta","Jakarta Special Capital Region","Indonesia","ID",{"type":67,"coordinates":68},"Point",[69,70],106.84513,-6.21462,{"lat":70,"lon":69},[73,77,81,82,85,86,87,89,91,93,95,96,98,100,101,103,105,107],{"name":74,"role":52,"phone":75,"phoneExt":10,"email":76},"Wenny Sanwani","+6281585013412","wenny.sanwani@gmail.com",{"name":78,"role":52,"phone":79,"phoneExt":10,"email":80},"Hanna Wijaya","+6281223787878","hannwijaya@yahoo.com",{"name":14,"role":16,"phone":10,"phoneExt":10,"email":10},{"name":83,"role":84,"phone":10,"phoneExt":10,"email":10},"Enny Irawaty","SUB_INVESTIGATOR",{"name":36,"role":84,"phone":10,"phoneExt":10,"email":10},{"name":21,"role":16,"phone":10,"phoneExt":10,"email":10},{"name":88,"role":84,"phone":10,"phoneExt":10,"email":10},"Wikrama Lokapradhana",{"name":90,"role":84,"phone":10,"phoneExt":10,"email":10},"Amita Pradhani",{"name":92,"role":84,"phone":10,"phoneExt":10,"email":10},"William Kuswandi",{"name":94,"role":84,"phone":10,"phoneExt":10,"email":10},"Alya Dwiana",{"name":23,"role":84,"phone":10,"phoneExt":10,"email":10},{"name":97,"role":84,"phone":10,"phoneExt":10,"email":10},"Diana Dinali",{"name":99,"role":84,"phone":10,"phoneExt":10,"email":10},"Muhammad Fikri Dzakwan",{"name":34,"role":84,"phone":10,"phoneExt":10,"email":10},{"name":102,"role":84,"phone":10,"phoneExt":10,"email":10},"Silviana Tirtasari",{"name":104,"role":84,"phone":10,"phoneExt":10,"email":10},"Triyana Sari",{"name":106,"role":84,"phone":10,"phoneExt":10,"email":10},"Steve Geraldo Bustam",{"name":108,"role":84,"phone":10,"phoneExt":10,"email":10},"Bryan Anna Wijaya",{"type":16,"investigatorFullName":110,"investigatorTitle":111,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"Yohanes Firmansyah, dr, MH, MM","Principal Investigator","100631593","validation-of-remote-photoplethysmography-rppg-derived-cardiovascular-parameters-against-standard-clinical-measurements-and-risk-scores-in-a-community-100631593",false,"NCT07502703","Validation of Remote Photoplethysmography (rPPG)-Derived Cardiovascular Parameters Against Standard Clinical Measurements and Risk Scores in a Community","Validation of Remote Photoplethysmography (rPPG)-Derived Cardiovascular Parameters Against Standard Clinical Measurements and Risk Scores in a Community-Based Population in Semanan, Jakarta","Inclusion Criteria:\n\n1. Adults aged ≥30 years\n2. Willing to participate and provide informed consent\n3. Able to undergo face scan, clinical examination, and laboratory testing\n\nExclusion Criteria:\n\n1. Facial abnormalities interfering with rPPG signal acquisition\n2. Inability to remain still during measurement\n3. Severe clinical instability\n4. Incomplete key variables",true,"ALL","30 Years",{"count":123,"type":124},300,"ESTIMATED","OBSERVATIONAL","The goal of this observational study is to evaluate whether a contactless camera-based technology, called remote photoplethysmography (rPPG), can accurately measure cardiovascular parameters and estimate cardiovascular risk in adults aged 30 years and older living in a community setting in Semanan, Jakarta. This study aims to determine if rPPG can be used as a simple and accessible tool for early cardiovascular screening.\n\nThe main questions it aims to answer are:\n\n1. Do cardiovascular parameters measured using rPPG (such as blood pressure, heart rate, and cardiac workload) agree with standard clinical measurements?\n2. Do cardiovascular risk estimates generated by rPPG (such as ASCVD risk and Framingham heart age) correspond to risk calculations obtained using conventional clinical and laboratory methods?\n\nResearchers will compare results obtained from rPPG-based facial video scans with results from standard medical assessments, including blood pressure measurements, heart rate evaluation, and laboratory tests for cholesterol levels, to determine the level of agreement and accuracy.\n\nParticipants will:\n\n1. Undergo a short facial video scan (approximately 30-60 seconds) using an rPPG-based system\n2. Receive standard clinical assessments, including blood pressure and heart rate measurements\n3. Provide basic health information (such as age, sex, smoking status, and treatment history) Undergo simple laboratory testing for cholesterol levels\n\nThis study is expected to help determine whether rPPG can be used as a reliable, non-invasive, and scalable screening tool for cardiovascular risk in community and primary healthcare settings.",[128,129,130,131,132,133],"Dyslipidemia","Angina (Stable)","Coronary Artery Disease (CAD)","Heart Disease","Hypertension","Diabetes (DM)",[135,136,137,138,139,140,141],"remote photoplethysmography","rPPG","cardiovascular risk","ASCVD","Framingham score","digital health","screening tool","NOT_YET_RECRUITING","2026-04-15",{"date":145,"type":146},"2026-04-20","ACTUAL",{"date":148,"type":124},"2026-04-23",{"date":150,"type":124},"2026-12-30",{"name":5,"class":6},1]