[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100551523":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":20,"centralContacts":25,"locations":19,"responsibleParty":33,"collaborators":37,"id":41,"slug":42,"hasResults":43,"nctId":44,"briefTitle":45,"officialTitle":45,"acronym":46,"eligibilityCriteria":47,"healthyVolunteers":43,"sex":48,"minAge":49,"maxAge":19,"enrollmentInfo":50,"targetDuration":19,"studyType":53,"phases":54,"briefSummary":56,"conditions":57,"keywords":59,"overallStatus":62,"whyStopped":19,"lastUpdateSubmitDate":63,"lastUpdatePostDateStruct":64,"startDateStruct":67,"completionDateStruct":69,"leadSponsor":71,"locationsCount":19},{"fullName":5,"class":6},"Thomas More Kempen","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"Regular respiratory physiotherapy while being monitored","EXPERIMENTAL","Patients receive their standard respiratory physiotherapy, but in the mean time they are monitored with a stethoscope, spirometer and a wearable to measure physiological parameters.",[13],"Other: Monitoring of patients",[15],{"type":6,"name":16,"description":17,"armGroupLabels":18,"otherNames":19},"Monitoring of patients","Data from a spirometer and a stethoscope are captured to develop algorithms to detect and classify respiration sounds to support therapists and patients in future therapy.",[9],null,[21],{"name":22,"affiliation":23,"role":24},"Filip Van Ginderdeuren, PhD","Universitair Ziekenhuis Brussel","PRINCIPAL_INVESTIGATOR",[26,31],{"name":27,"role":28,"phone":29,"phoneExt":19,"email":30},"Kris Cuppens, PhD","CONTACT","+ 32 14 74 06 28","kris.cuppens@thomasmore.be",{"name":22,"role":28,"phone":19,"phoneExt":19,"email":32},"filip.vanginderdeuren@uzbrussel.be",{"type":34,"investigatorFullName":35,"investigatorTitle":36,"investigatorAffiliation":5,"oldNameTitle":19,"oldOrganization":19},"SPONSOR_INVESTIGATOR","Lieven De Maesschalck","Innovation Manager",[38,40],{"name":39,"class":6},"KU Leuven",{"name":23,"class":6},"100551523","computer-aided-respiratory-therapy-based-on-audio-and-spirometry-signals-100551523",false,"NCT06461195","Computer Aided Respiratory Therapy Based on Audio and Spirometry Signals","COMPASS","Inclusion Criteria:\n\n* The patient has a chronic or acute respiratory condition and may need oxygen therapy\n* The patient is minimally 12 years old\n\nExclusion Criteria:\n\n* The patient is cognitively impaired.\n* The patient has an undrained pneumothorax.\n* The patient is experiencing an acute pulmonary hemorrhage.\n* The patient is having an asthma exacerbation.\n* The patient has an infection with Burkholderia cepatia.\n* The patient is in isolation due to the risk of infection.","ALL","12 Years",{"count":51,"type":52},15,"ESTIMATED","INTERVENTIONAL",[55],"NA","The purpose of the study is to collect data: audio in the form of respiratory sounds and instructions from the therapist, spirometry data during the execution of the therapy, physiological parameters, and patient information. With the help of this data, algorithms will be developed for the automatic detection, localization, and classification of respiratory sounds, linked to the respiratory cycle using spirometric signals.",[58],"Respiratory Therapy",[60,61],"Spirometry","Respiratory sounds","NOT_YET_RECRUITING","2024-06-11",{"date":65,"type":66},"2024-06-14","ACTUAL",{"date":68,"type":52},"2024-06-25",{"date":70,"type":52},"2025-09-30",{"name":35,"class":6}]