[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100609302":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":10,"centralContacts":19,"locations":10,"responsibleParty":28,"collaborators":30,"id":33,"slug":34,"hasResults":35,"nctId":36,"briefTitle":37,"officialTitle":37,"acronym":10,"eligibilityCriteria":38,"healthyVolunteers":35,"sex":39,"minAge":40,"maxAge":10,"enrollmentInfo":41,"targetDuration":44,"studyType":45,"phases":10,"briefSummary":46,"conditions":47,"keywords":50,"overallStatus":61,"whyStopped":10,"lastUpdateSubmitDate":62,"lastUpdatePostDateStruct":63,"startDateStruct":66,"completionDateStruct":68,"leadSponsor":70,"locationsCount":10},{"fullName":5,"class":6},"Vital Audio Inc","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"Atrial Fibrillation Patients Undergoing Cardioversion",null,"Investigational, software-only device that acquires short voice samples during automated phone calls and analyzes cardiopulmonary signals to estimate heart rate (HR), heart-rate variability (HRV), and rhythm status (regular vs irregular). In this study, three calls are initiated via the Vital Audio web platform (pre-, post-cardioversion, and 1-month follow-up). Results are available only to study staff and are compared with ECG obtained at the same time points. The device is used for data collection\u002Fassessment only and does not guide clinical care. IDE: G230147.",[13],"Device: Sauti",[15],{"type":16,"name":17,"description":11,"armGroupLabels":18,"otherNames":10},"DEVICE","Sauti",[9],[20,25],{"name":21,"role":22,"phone":23,"phoneExt":10,"email":24},"Joshua Buckler, MD, Medical Doctor","CONTACT","2062188750","joshua.buckler@allina.com",{"name":26,"role":22,"phone":10,"phoneExt":10,"email":27},"Sarah Schwager, RN","sarah.schwager@allina.com",{"type":29,"investigatorFullName":10,"investigatorTitle":10,"investigatorAffiliation":10,"oldNameTitle":10,"oldOrganization":10},"SPONSOR",[31],{"name":32,"class":6},"Minneapolis Heart Institute Foundation","100609302","detection-of-atrial-fibrillation-through-voice-signal-processing-100609302",false,"NCT07212816","Detection of Atrial Fibrillation Through Voice Signal Processing","Inclusion Criteria:\n\nTo participate in this study, patients must meet all of the following inclusion criteria:\n\n1. Diagnosis of atrial fibrillation and presenting for cardioversion at Allina Health in atrial fibrillation\n2. 3\\. ≥ 18 years of age Written informed consent obtained from patient in English\n\nExclusion Criteria:\n\nPatients who meet any of the following criteria must be excluded from this study:\n\n1. History of a pacemaker\n2. History of dysphasia or difficulty with word finding\n3. History of vocal cord dysfunction\n4. Patient with atrial flutter as presenting arrhythmia\n5. Planned transesophageal echocardiogram (TEE) with cardioversion","ALL","18 Years",{"count":42,"type":43},40,"ESTIMATED","1 Month","OBSERVATIONAL","This study is testing a new technology that listens to a person's voice during short phone calls to help identify heart rhythm problems. The goal is to see if voice signal analysis can tell the difference between a normal rhythm (sinus rhythm) and an irregular rhythm (atrial fibrillation).\n\nWe are enrolling adults scheduled for a standard heart procedure called cardioversion, which is used to reset the heart to a normal rhythm. Each participant will provide voice recordings through three short phone calls: before cardioversion, just after the procedure, and at a follow-up visit. Results will be compared with standard heart rhythm tests (electrocardiograms or ECGs).\n\nThis research may lead to a simple, low-cost way to monitor heart rhythms remotely without requiring special devices.",[48,49],"Atrial Fibrillation (AF)","Atrial Flutter",[51,52,53,54,55,56,57,58,59,60],"Cardioversion","Irregular Heart Rhythm","Arrhythmia","Atrial Fibrillation","Afib","Artificial Intelligence (AI) in Cardiology","Digital Biomarkers","Voice Biomarkers","Voice Signal Processing","Voice based monitoring","NOT_YET_RECRUITING","2025-10-01",{"date":64,"type":65},"2025-10-08","ACTUAL",{"date":67,"type":43},"2025-10-15",{"date":69,"type":43},"2025-11-30",{"name":5,"class":6}]