Committee: 

Dr. Inan, Advisor 

Dr. Anderson, Chair

Dr. Ayazi

Abstract:

The objective of the proposed research is to explore non-invasive sensing methodologies and a set of robust algorithms to monitor cardiovascular health and validate wearable sensing modalities in stratifying clinical status for patients with heart failure. First, the performance of different cardiogenic body vibration-based sensors and efficacy of sensor fusion are assessed to estimate cardiac timing intervals, which can predict cardiac contractility changes. Second, gas exchange variables from the cardiopulmonary stress test --a gold standard tool to stratify disease risk in heart failure --are estimated using features from signals recorded by a wearable sensor. As part of the proposed work, intra-cardiac and pulmonary blood pressure changes from right-heart catheterization with intravenous drug infusion will be estimated using signals obtained by a wearable sensor for patients with heart failure. These technologies can enable remote health monitoring for patients with cardiovascular disease to enable personalized titration of care and monitoring of medication adherence.