Explore a comprehensive seminar on sensor systems for cardiovascular disease prediction, prevention, and treatment. Delve into the evolution of digital health, patient treatment from a control system perspective, and the role of sensors in connecting the physical and digital worlds. Examine left ventricular assist devices (VADs), their outcomes in different patient populations, and patient-specific testing methods. Investigate the pathology of Duchenne Muscular Dystrophy and the application of cardiac magnetic resonance imaging. Learn about novel signal processing methods for right heart failure and continuous LV volume measurement. Discover innovative epi-cardial strain sensors for measuring cardiac function and real-time cardiac volume sensors. Analyze the Brody effect and intra-cardiac electromyogram measurements. Gain insights into how sensor technologies can benefit diastolic heart failure patients and align with European research policies.
Sensor Systems for Predicting, Preventing, and Curing Cardiovascular Disease
Stanford University via YouTube
Overview
Syllabus
Intro
The history of medicine set us up for the age of Digital Health
The time course of a patient with cardiovascular disease
Patient treatment from a control system perspective
Sensors connect the physical world to the digital world
Treatment options for heart failure
Left ventricular assist devices (VADs): the pump speed
Outcomes of VAD therapy are worse in females
Current pump speeds are not adequate for small hearts normal IVS position shifted IVS position
Patient-specific benchtop testing of septum position
Clinical and Benchtop data show: Size matters
Prediction of patient-optimized operation and design
Pathology of Duchenne Muscular Dystrophy (DMD)
The Role of Cardiac Magnetic Resonance
Boys with DMD and healthy controls were included in the study
Novel signal processing methods for pre-contrast RV-T1
Pre-contrast RV-T1 is elevated in DMD compared to healthy controls
Development of signal processing tools in right heart failure
Current methods to measure LV volume continuously
Cardiac surgery cures a variety of cardiovascular diseases
Soft and biocompatible epi-cardical strain sensor
Epi-cardical strain sensor to measure cardiac function
Dynamic response to volume changes and sudden blood loss
Epi-caridial real-time cardiac volume sensor
Physiological control is necessary
The EDV and the depolarization amplitude of the intra-cardiac electromyogram
Measuring the Brody effect
Intra-cardiac electromyogram from VAD cannula
Invention of a real-time cardiac volume sensor
Sensor Systems to Predict, Prevent and Cure Cardiovascular Disease
Diastolic heart failure can benefit from sensor technologies
Research aligning with European research policy
Taught by
Stanford Radiology
