[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100631592":3},{"organization":4,"armGroups":7,"interventions":10,"overallOfficials":12,"centralContacts":44,"locations":52,"responsibleParty":104,"collaborators":107,"id":110,"slug":111,"hasResults":112,"nctId":113,"briefTitle":114,"officialTitle":115,"acronym":10,"eligibilityCriteria":116,"healthyVolunteers":117,"sex":118,"minAge":119,"maxAge":10,"enrollmentInfo":120,"targetDuration":123,"studyType":124,"phases":10,"briefSummary":125,"conditions":126,"keywords":131,"overallStatus":139,"whyStopped":10,"lastUpdateSubmitDate":140,"lastUpdatePostDateStruct":141,"startDateStruct":144,"completionDateStruct":146,"leadSponsor":148,"locationsCount":149},{"fullName":5,"class":6},"Tarumanagara University","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":10},"Community Adults Undergoing rPPG and Laboratory Glycemic Assessment",null,"This cohort includes adults aged ≥18 years from a community-based population in Jakarta who undergo both non-invasive remote photoplethysmography (rPPG) facial scanning and standard laboratory testing. Participants will receive a smartphone-based facial scan to estimate blood glucose and HbA1c levels, followed by venous blood sampling for fasting blood glucose and HbA1c measurement using standard laboratory methods. No therapeutic intervention is administered, as this is a diagnostic validation study comparing rPPG-derived estimates with laboratory reference values.",[13,17,20,23,26,28,30,33,36,39,42],{"name":14,"affiliation":15,"role":16},"Yohanes Firmansyah, MD","Klinik Citra Semanan","PRINCIPAL_INVESTIGATOR",{"name":18,"affiliation":19,"role":16},"Ernawati Ernawati","Universitas Tarumanagara",{"name":21,"affiliation":19,"role":22},"Alexander Halim Santoso","STUDY_DIRECTOR",{"name":24,"affiliation":19,"role":25},"Sri Tiarti","STUDY_CHAIR",{"name":27,"affiliation":19,"role":25},"Noer Saelan Tadjudin",{"name":29,"affiliation":19,"role":25},"Putu Tommy Yudha Sumatera Suyasa",{"name":31,"affiliation":32,"role":22},"David Wongso","DexWellness",{"name":34,"affiliation":35,"role":22},"Ratheesh Nair","Watch Your Health",{"name":37,"affiliation":38,"role":22},"Kieren Nathan Wong","Monash University",{"name":40,"affiliation":41,"role":22},"Jaydee Kirani Wong","Melbourne University",{"name":43,"affiliation":19,"role":25},"Meiske Yunithree Suparman",[45,49],{"name":21,"role":46,"phone":47,"phoneExt":10,"email":48},"CONTACT","+6281381606869","alexanders@fk.untar.ac.id",{"name":50,"role":46,"phone":10,"phoneExt":10,"email":51},"Ernawati Ernawati, Dr.","ernawati@fk.untar.ac.id",[53],{"facility":54,"status":10,"city":55,"state":56,"zip":10,"country":57,"countryCode":58,"cosmosGeoPoint":59,"geoPoint":64,"contacts":65},"Kelurahan Semanan","Jakarta","Jakarta Special Capital Region","Indonesia","ID",{"type":60,"coordinates":61},"Point",[62,63],106.84513,-6.21462,{"lat":63,"lon":62},[66,70,74,75,76,78,79,82,84,86,88,90,92,94,96,98,100,102],{"name":67,"role":46,"phone":68,"phoneExt":10,"email":69},"Hanna Wijaya","+6281223787878","hannwijaya@yahoo.com",{"name":71,"role":46,"phone":72,"phoneExt":10,"email":73},"Wenny Sanwani","+6281585013412","wenny.sanwani@gmail.com",{"name":18,"role":16,"phone":10,"phoneExt":10,"email":10},{"name":21,"role":16,"phone":10,"phoneExt":10,"email":10},{"name":77,"role":16,"phone":10,"phoneExt":10,"email":10},"Yohanes Firmansyah",{"name":31,"role":16,"phone":10,"phoneExt":10,"email":10},{"name":80,"role":81,"phone":10,"phoneExt":10,"email":10},"Enny Irawaty","SUB_INVESTIGATOR",{"name":83,"role":81,"phone":10,"phoneExt":10,"email":10},"Zita Atzmardina",{"name":85,"role":81,"phone":10,"phoneExt":10,"email":10},"Silviana Tirtasari",{"name":87,"role":81,"phone":10,"phoneExt":10,"email":10},"Clement Drew",{"name":89,"role":81,"phone":10,"phoneExt":10,"email":10},"Wikrama Lokapradhana",{"name":91,"role":81,"phone":10,"phoneExt":10,"email":10},"Amita Pradhani",{"name":93,"role":81,"phone":10,"phoneExt":10,"email":10},"William Kuswandi",{"name":95,"role":81,"phone":10,"phoneExt":10,"email":10},"Triyana Sari",{"name":97,"role":81,"phone":10,"phoneExt":10,"email":10},"Diana Dinali",{"name":99,"role":81,"phone":10,"phoneExt":10,"email":10},"Muhammad Fikri Dzakwan",{"name":101,"role":81,"phone":10,"phoneExt":10,"email":10},"Steve Geraldo Bustam",{"name":103,"role":81,"phone":10,"phoneExt":10,"email":10},"Bryan Anna Wijaya",{"type":16,"investigatorFullName":105,"investigatorTitle":106,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"Yohanes Firmansyah, dr, MH, MM","Principal Investigator",[108],{"name":19,"class":109},"UNKNOWN","100631592","validation-of-remote-photoplethysmography-for-non-invasive-estimation-of-blood-glucose-and-hba1c-100631592",false,"NCT07502690","Validation of Remote Photoplethysmography for Non-Invasive Estimation of Blood Glucose and HbA1c","Validation of Remote Photoplethysmography for Non-Invasive Estimation of Blood Glucose and HbA1c in a Community-Based Population in Jakarta","Inclusion Criteria:\n\n1. Adults aged ≥18 years\n2. Willing to participate and provide informed consent\n3. Able to undergo facial scan and blood examination\n4. Stable clinical condition\n\nExclusion Criteria:\n\n1. Facial conditions interfering with rPPG signal (e.g., wounds, deformities)\n2. Use of facial coverings obstructing camera detection\n3. Inability to remain still during facial scan\n4. Incomplete data or withdrawal from study",true,"ALL","18 Years",{"count":121,"type":122},300,"ESTIMATED","1 Day","OBSERVATIONAL","The goal of this observational study is to evaluate whether a non-invasive facial scan technology using remote photoplethysmography (rPPG) can accurately estimate blood glucose and HbA1c levels in adults living in the community in Jakarta. The study focuses on adults aged 18 years and older, including individuals with or without diabetes.\n\nThe main questions it aims to answer are:\n\n1. Can rPPG-based facial scan estimates of blood glucose and HbA1c match results from standard laboratory blood tests?\n2. How well can rPPG identify individuals with high blood sugar or diabetes risk based on established clinical cut-off values?\n\nResearchers will compare results from the rPPG facial scan with standard laboratory measurements of fasting blood glucose and HbA1c to determine how accurate and reliable the technology is for screening purposes.\n\nParticipants will:\n\n1. Provide basic information such as age, sex, and medical history\n2. Undergo a non-invasive facial scan using a smartphone-based system\n3. Have a blood sample taken to measure fasting blood glucose and HbA1c\n4. Complete all assessments during a single study visit\n\nThis study aims to determine whether rPPG can serve as a simple, non-invasive, and accessible tool for early detection and monitoring of diabetes in community settings.",[127,128,129,130],"Diabetes Mellitus","Hyperglycaemia (Diabetic)","Hyperglycaemia (Non Diabetic)","Hypoglycaemia",[132,133,134,135,136,137,138],"remote photoplethysmography","rppg","blood glucose","HbA1c","diabetes mellitus","non-invasive monitoring","digital health screening","NOT_YET_RECRUITING","2026-04-15",{"date":142,"type":143},"2026-04-20","ACTUAL",{"date":145,"type":122},"2026-03-23",{"date":147,"type":122},"2026-12-30",{"name":5,"class":6},1]