Algorithm for suppressing ventilator autotriggering

This technology is an algorithm for analyzing cardiac output and airflow signals during ventilation to suppress autotriggering of the ventilator, which can lead to patient hyperventilation and respiratory alkalosis.

Unmet Need: Methods for preventing autotriggering of mechanical ventilators

Mechanical ventilation for anesthesiology or critical care applications can autotrigger in response to airflow fluctuations caused by cardiac contractions, resulting in patient hyperventilation and respiratory alkalosis. This can result in inaccurate clinical evaluation of respiratory performance and several alkalosis-induced symptoms, including nausea, tremors, and numbness in the hands and feet. Current ventilator software cannot automatically suppress cardiogenic autotriggering.

The Technology: Algorithm for suppressing cardiogenic autotriggering of mechanical ventilators

This technology is software that uses a signal separation algorithm that separates cardiac and airflow signals to suppress autotriggering in response to cardiac contractions. This algorithm functions rapidly for real-time patient care applications. The output of the algorithm is the patient’s respiratory signal with the cardiac artifact subtracted for accurate ventilation and clinical evaluation of respiratory airflow. As such, this real-time algorithm can be used to analyze patient airflow waveforms and reduce ventilator autotriggering in operating rooms and ICUs.

Applications:

• Respiratory care devices
• Sleep apnea treatment devices
• Mechanical ventilators in operating rooms or critical care units
• Respiratory support during emergency transport
• Research tool for developing real-time signal separation algorithms for a variety of biomedical applications

Advantages:

• Real-time evaluation of respiratory waveforms
• Efficiently suppresses ventilator autotriggering
• Subtracts cardiac oscillations and background noise from respiratory signals
• Can be integrated into existing ventilator technologies
• Prevents the delivery of extra breaths by ventilators

Lead Inventor:

Parwane Pagano, M.D.

Related Publications:

• Pagano PP, Ciaccio EJ, Garan H. “Separation of cardiogenic oscillations from airflow waveforms using singular spectrum analysis.” Comput Methods Programs Biomed. 2022 Jun; 220

Tech Ventures Reference:

• IR CU24309

• Licensing Contact: Kristin Neuman