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Ph.D. Dissertation Defense - Md Mobashir Shandhi

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TitleNon-invasive Cardiovascular Health Monitoring for Patients with Heart Failure using Seismocardiography

Committee:

Dr. Omer Inan, ECE, Chair , Advisor

Dr. Farrokh Ayazi, ECE

Dr. David Anderson, ECE

Dr. Thomaz Ploetz, IC

Dr. Liviu Klein, UCSF

Abstract: This work explores non-invasive sensing methodologies and a set of robust algorithms to monitor cardiovascular health and validate wearable sensing modalities in stratifying clinical status and estimating pulmonary congestion for patients with heart failure (HF). 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 HF—are estimated using features from seismocardiogram and electrocardiogram signals recorded by a wearable sensor. Third, changes in pulmonary congestion from the right heart catheterization procedure—a gold standard clinical procedure to measure pulmonary congestion—are estimated using features from simultaneously recorded seismocardiogram signals to demonstrate the efficacy of such a sensing system and algorithm to track relevant hemodynamic parameters in patients with HF. The algorithms and methods presented in this work can enable remote cardiovascular health monitoring for patients with HF to enable personalized titration of care and improving medication adherence in a hemodynamically-guided HF management system.

Status

  • Workflow Status:Published
  • Created By:Daniela Staiculescu
  • Created:11/11/2020
  • Modified By:Daniela Staiculescu
  • Modified:11/11/2020

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