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Intra-cardiac electromyogram from VAD cannula
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Classroom Contents
Sensor Systems for Predicting, Preventing, and Curing Cardiovascular Disease
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- 1 Intro
- 2 The history of medicine set us up for the age of Digital Health
- 3 The time course of a patient with cardiovascular disease
- 4 Patient treatment from a control system perspective
- 5 Sensors connect the physical world to the digital world
- 6 Treatment options for heart failure
- 7 Left ventricular assist devices (VADs): the pump speed
- 8 Outcomes of VAD therapy are worse in females
- 9 Current pump speeds are not adequate for small hearts normal IVS position shifted IVS position
- 10 Patient-specific benchtop testing of septum position
- 11 Clinical and Benchtop data show: Size matters
- 12 Prediction of patient-optimized operation and design
- 13 Pathology of Duchenne Muscular Dystrophy (DMD)
- 14 The Role of Cardiac Magnetic Resonance
- 15 Boys with DMD and healthy controls were included in the study
- 16 Novel signal processing methods for pre-contrast RV-T1
- 17 Pre-contrast RV-T1 is elevated in DMD compared to healthy controls
- 18 Development of signal processing tools in right heart failure
- 19 Current methods to measure LV volume continuously
- 20 Cardiac surgery cures a variety of cardiovascular diseases
- 21 Soft and biocompatible epi-cardical strain sensor
- 22 Epi-cardical strain sensor to measure cardiac function
- 23 Dynamic response to volume changes and sudden blood loss
- 24 Epi-caridial real-time cardiac volume sensor
- 25 Physiological control is necessary
- 26 The EDV and the depolarization amplitude of the intra-cardiac electromyogram
- 27 Measuring the Brody effect
- 28 Intra-cardiac electromyogram from VAD cannula
- 29 Invention of a real-time cardiac volume sensor
- 30 Sensor Systems to Predict, Prevent and Cure Cardiovascular Disease
- 31 Diastolic heart failure can benefit from sensor technologies
- 32 Research aligning with European research policy
