[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100636677":3},{"organization":4,"armGroups":7,"interventions":25,"overallOfficials":10,"centralContacts":31,"locations":37,"responsibleParty":54,"collaborators":10,"id":58,"slug":59,"hasResults":60,"nctId":61,"briefTitle":62,"officialTitle":63,"acronym":10,"eligibilityCriteria":64,"healthyVolunteers":65,"sex":66,"minAge":67,"maxAge":10,"enrollmentInfo":68,"targetDuration":10,"studyType":71,"phases":10,"briefSummary":72,"conditions":73,"keywords":10,"overallStatus":40,"whyStopped":10,"lastUpdateSubmitDate":75,"lastUpdatePostDateStruct":76,"startDateStruct":79,"completionDateStruct":81,"leadSponsor":83,"locationsCount":84},{"fullName":5,"class":6},"The University of Hong Kong","OTHER",[8,13,16,19,22],{"label":9,"type":10,"description":10,"interventionNames":11},"Aortic stenosis",null,[12],"Device: BPM Core",{"label":14,"type":10,"description":10,"interventionNames":15},"Mitral stenosis",[12],{"label":17,"type":10,"description":10,"interventionNames":18},"Mitral regurgitation",[12],{"label":20,"type":10,"description":10,"interventionNames":21},"Tricuspid regurgitation",[12],{"label":23,"type":10,"description":10,"interventionNames":24},"Control",[12],[26],{"type":27,"name":28,"description":29,"armGroupLabels":30,"otherNames":10},"DEVICE","BPM Core","Heart auscultation data will be collected from the patients in 5 different groups using BPM Core",[9,23,17,14,20],[32],{"name":33,"role":34,"phone":35,"phoneExt":10,"email":36},"Chun Ka Wong, Clinical Assistant Professor","CONTACT","852 2255 3597","wongeck@hku.hk",[38],{"facility":39,"status":40,"city":41,"state":42,"zip":10,"country":41,"countryCode":43,"cosmosGeoPoint":44,"geoPoint":49,"contacts":50},"Queen Mary Hospital","RECRUITING","Hong Kong","Pok Fu Lam Rd.","HK",{"type":45,"coordinates":46},"Point",[47,48],114.17469,22.27832,{"lat":48,"lon":47},[51],{"name":10,"role":34,"phone":52,"phoneExt":10,"email":53},"22553838","qmh_enquiry@ha.org.hk",{"type":55,"investigatorFullName":56,"investigatorTitle":57,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"PRINCIPAL_INVESTIGATOR","Wong Chun Ka","Clinical Assistant Professor","100636677","clinical-validation-of-portable-electronic-stethoscope-for-detecting-vhd-100636677",false,"NCT07568795","Clinical Validation of Portable Electronic Stethoscope for Detecting VHD","Clinical Validation of Portable Electronic Stethoscope for Detecting Valvular Heart Disease","Inclusion Criteria:\n\n* Voluntarily agrees to participate by proving written informed consent\n* Have echocardiography done within 5 years\n\nExclusion Criteria:\n\n* Mechanical heart valve\n* Adult congenital heart disease",true,"ALL","18 Years",{"count":69,"type":70},125,"ESTIMATED","OBSERVATIONAL","The goal of this observational study is to evaluate accuracy of portable electronic stethoscope and machine learning-based diagnostic algorithms for detecting the disease in people with valvular heart disease and healthy controls. The main question it aims to answer is:\n\nIs portable electronic stethoscope and machine learning-based diagnostic algorithms allow accurate detection of valvular heart disease?\n\nResearchers will compare diagnostic algorithm's predictions with the clinicians' predictions to see if the diagnostic results are accurate.\n\nParticipants will\n\n* take echocardiogram\n* take electrocardiogram using BPM Core\n* get the heart auscultation data measured via electronic stethoscope",[74],"Heart Valve Diseases","2026-04-28",{"date":77,"type":78},"2026-05-06","ACTUAL",{"date":80,"type":78},"2024-07-03",{"date":82,"type":70},"2026-12-31",{"name":5,"class":6},1]