Clinical Trial: Non-invasive Pulmonary Artery Prediction (ADOPTS)
Study Status: NOT_YET_RECRUITING
Recruit Status: NOT_YET_RECRUITING
Condition: Heart Failure
Study Type: OBSERVATIONAL
Official Title: Feasibility Study to Determine if Novel Wearable Monitoring System and Machine-Learning Algorithm Can Model Continuous Pulmonary Artery Pressure Recordings in Human Subjects
Brief Summary:
A proprietary machine-learning algorithm has been developed to model continuous pulmonary artery pressure (PAP), a physiologic marker of cardiopulmonary function.The algorithm was developed from PAP recordings obtained during invasive right heart catheterization.The study will evaluate whether this algorithm can perform as well when embedded into a non-invasive wearable device that records EKG, heart sounds, and thoracic impedance has yet to be established.
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