[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"no-specific-conditions\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:no-specific-conditions":27},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,41],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":19,"enrollmentInfo":20,"targetDuration":4,"studyType":23,"phases":4,"briefSummary":24,"conditions":25,"keywords":4,"overallStatus":28,"whyStopped":4,"lastUpdateSubmitDate":29,"lastUpdatePostDateStruct":30,"startDateStruct":33,"completionDateStruct":35,"leadSponsor":37,"locationsCount":40},"100610157","validating-dozee-for-contactless-monitoring-of-heart-breathing-and-movemen-100610157",false,"NCT07223931","Validating Dozee for Contactless Monitoring of Heart, Breathing, and Movemen","Clinical Validation of the Dozee System for Contactless Monitoring of Heart Rate, Respiration Rate, Motion, and Bed-Exits","Inclusion Criteria:\n\nSubjects will be included if they meet the following inclusion criteria:\n\n1. Adults Male or female. (Above 18 years of age)\n2. Provide written informed consent.\n3. Weight between 40kg\u002F88.18lbs and 120kg\u002F264.55lbs\n4. Agree to not eat during the testing period\n5. Able to move and exit the bed independently and safely.\n\nExclusion Criteria:\n\nSubjects will be excluded if they have any of the following inclusion criteria:\n\n1. Are connected to a device that may interfere with the device monitoring in this study.\n2. Are receiving any bedside care which may be incompatible with the study procedures.\n3. A likely need to receive or undergo a procedure during the testing period.\n4. Cannot accept a nasal cannula, or have an ECG leads placed on the chest.\n5. Have a significant medical condition in the judgement of the investigator, which may compromise the study testing procedures.",true,"ALL","18 Years","100 Years",{"count":21,"type":22},60,"ESTIMATED","OBSERVATIONAL","The Dozee VS system (K221555) is a contactless device that tracks heart rate and breathing rate using a sensor sheet placed under the mattress. It captures body vibrations and converts them into vital signs, which can be monitored remotely in real time. The system also supports add-ons like a blood pressure cuff, pulse oximeter, and thermometer, offering a complete monitoring solution. This study aims to validate the updated AI-powered heart rate and improved breathing rate algorithms across different sensor sheet types to confirm clinical accuracy",[26,27],"No Specific Medical Conditions or Disease States","No Specific Conditions","RECRUITING","2025-10-30",{"date":31,"type":32},"2025-11-03","ACTUAL",{"date":34,"type":32},"2025-09-16",{"date":36,"type":22},"2025-12-31",{"name":38,"class":39},"Turtle Shell Technologies Pvt. Ltd.","INDUSTRY",1,{"id":42,"slug":43,"hasResults":11,"nctId":44,"briefTitle":45,"officialTitle":46,"acronym":4,"eligibilityCriteria":47,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":48,"targetDuration":4,"studyType":50,"phases":51,"briefSummary":53,"conditions":54,"keywords":58,"overallStatus":65,"whyStopped":4,"lastUpdateSubmitDate":66,"lastUpdatePostDateStruct":67,"startDateStruct":69,"completionDateStruct":71,"leadSponsor":73,"locationsCount":4},"100537754","machine-learning-and-3d-image-based-modeling-for-body-weight-estimation-100537754","NCT06281938","Machine Learning and 3D Image-based Modeling for Body Weight Estimation.","Machine Learning and 3D Image-based Modeling for Real-time Body Weight and Body Composition Estimation During Emergency Medical Care.","Inclusion Criteria:\n\n\\- Any patient presenting to the Emergency Department of the study site, who will require any form of weight-based intravenous drug therapy, and who will be admitted to the hospital.\n\nExclusion Criteria:\n\n* Patients who are unable to provide consent.\n* Patients whose medical treatment could be negatively impacted by participation in the study.",{"count":49,"type":22},320,"INTERVENTIONAL",[52],"NA","The goal of this randomized controlled clinical trial is to \\[learn about, test, compare etc.\\] in critically ill or injured cohorts of patients presenting to the Emergency Department. The main question\\[s\\] it aims to answer are:\n\n* Are weight estimates from a 3D camera system more accurate than standard methods of weight estimation?\n* Do patients who receive weight estimates with a 3D camera system have fewer drug dosing errors than patients receiving standard care?\n\nParticipants will either receive a weight estimate using a 3D camera system, or standard methods of care.\n\nResearchers will compare the 3D camera group to those with standard care to see if the weight estimates are more accurate, to see if drug dosing is more accurate, and to compare the incidence of adverse events related to medications in each group.",[27,55,56,57],"Weight, Body","Drug Dose","Weight-Estimation",[59,60,61,62,63,64],"weight estimation","drug dosing","3D camera","total body weight","lean body weight","ideal body weight","NOT_YET_RECRUITING","2025-06-05",{"date":68,"type":32},"2025-06-06",{"date":70,"type":22},"2026-06",{"date":72,"type":22},"2027-09",{"name":74,"class":75},"Florida Atlantic University","OTHER"]