Minimally Invasive Monitoring of Cardiac Function for Patients with Rotary VAD Support, a Frequency Domain Approach

Area of Science:

• Biomedical Engineering
• Cardiovascular Physiology
• Medical Device Technology

Background:

• Rotary ventricular assist devices (VADs) are crucial for managing advanced heart failure.
• Accurate monitoring of myocardial contractility is essential for optimizing VAD support and patient recovery.
• Current monitoring methods can be invasive or disruptive to VAD operation.

Purpose of the Study:

• To develop and validate a novel, non-invasive algorithm for estimating cardiac function and myocardial contractility in VAD-supported patients.
• To assess the algorithm's ability to differentiate between varying states of cardiac health (failure, recovery, healthy).
• To establish a method for frequent, safe, and cost-effective patient monitoring.

Main Methods:

• Utilized raw air pressure signals from a standard cuff pressure sensor.
• Applied signal processing techniques including bandpass filtering and Fast Fourier Transform (FFT).
• Employed a computer model simulating cardiovascular system and VAD interactions across different cardiac states.

Main Results:

• The algorithm identified two key magnitude components from the air pressure signal.
• These components demonstrated a positive correlation with improved cardiac health, increasing as heart function recovered.
• The method proved effective in a simulated environment without requiring indwelling sensors or VAD interruption.

Conclusions:

• The developed algorithm offers a non-invasive approach to monitor myocardial contractility in VAD patients.
• This technique allows for more frequent and accessible patient assessments, potentially improving VAD weaning success rates.
• The findings suggest a significant advancement in cardiac function monitoring for VAD recipients, reducing safety concerns and costs.