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Novel ultrasound sensor in patient specific heart models
The sensor should be tested for robustness in patient specific hearts. The thesis involves experimentation and signal processing.
Keywords: sensor, control, signal processing, Ventricular assist device
Ventricular assist devices (VADs) are blood pumps, which are implanted in parallel with a
failing heart as an alternative to heart transplantation. An open challenge in these devices is the adaptation of the pump flow to the varying blood demand of patients. Inappropriate pump flow causes complications, in worst case death. Our group has developed a robust
control algorithm to adapt to the physiological demand, using a left ventricular
(LV) volume signal. Our goal is a LVV sensor robust to patient specific variations. A test bench allows fast sensor testing on five silicone human heart models.
Ventricular assist devices (VADs) are blood pumps, which are implanted in parallel with a failing heart as an alternative to heart transplantation. An open challenge in these devices is the adaptation of the pump flow to the varying blood demand of patients. Inappropriate pump flow causes complications, in worst case death. Our group has developed a robust control algorithm to adapt to the physiological demand, using a left ventricular (LV) volume signal. Our goal is a LVV sensor robust to patient specific variations. A test bench allows fast sensor testing on five silicone human heart models.
A new sensor principle relying on ultrasound should be implemented and tested on all geometries.
You will:
• Familiarize yourself with the complex biomedical environment and ultrasound
• Define your own clear test protocols
• Execute experiments on a patient specific test-bench
• signal analysis and LV volume estimator
10% literature, 70% experimental, 10% software, 10% report
A new sensor principle relying on ultrasound should be implemented and tested on all geometries. You will: • Familiarize yourself with the complex biomedical environment and ultrasound • Define your own clear test protocols • Execute experiments on a patient specific test-bench • signal analysis and LV volume estimator 10% literature, 70% experimental, 10% software, 10% report