Manual Ventilation Feedback Sensor for Use in Clinical and Training Settings

Case ID:
C12697
Disclosure Date:
9/4/2013

C12697: Novel Low-Cost Ventilation Feedback Sensor

Novelty:

Manual ventilation feedback sensor for use in clinical and training settings.

Value Proposition:

Survival rates of cardiac arrest remain below 15%, causing nearly 450,000 American deaths annually. Experimental data recently suggested that rescue breathing, or ventilations, during resuscitation may actually worsen patient outcome. Ventilation rates observed during clinical resuscitations varied from 21 to 30 breaths per minute, which is significantly faster than the American Heart Association recommendation for continuous ventilations at a rate of fewer than 12 breaths per minute. Hyperventilation has been associated with detriments to neural, cardiovascular, and overall outcomes. Existing sensors to monitor ventilation rate are generally expensive and require workflow changes to provider practice. Unlike existing sensors, this low-cost ventilation rate sensor can be used in both simulation training and clinical practice. Additional advantages include:

• Can be manufactured for less than $30
• Requires minimal additional training for providers
• Can be used realistically with patient simulators without additional changes to simulator or sensor

Technical Details:

Johns Hopkins researchers have developed a real-time ventilation rate feedback device. This device can be placed in line with respiratory devices (manual ventilation bag, mask, end tidal CO2 cuvette, etc.) or placed at the pressure port of the manual ventilation bag. When a provider squeezes the BVM to manually ventilate the simulator or patient, the pressure within the cavity increases, and the analog output of the pressure sensor changes accordingly. Manual ventilations are identified from the changing sensor output via a microcontroller. The ventilation rate is displayed either on an on-device screen or can be connected to a separate screen. In its current form, this device is routinely used in resuscitation simulation scenarios, with the device output connected wirelessly to the clinical monitor. In this configuration, the performance of adequate ventilations on the simulator is linked to changes in the ETCO2 waveform on the clinical patient monitor, enabling a more realistic resuscitation model. Use of the device in this configuration requires the JHU Anatomic/Physiological Sensor Signal Generator (JHU ref# C12468).

Looking for Partners:

To develop and commercialize the technology as an inexpensive alternative for providing ventilation feedback in clinical and training settings.

Stage of Development:

Prototype tested in simulation-based training

Data Availability:

Prototype


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For Information, Contact:
Lisa Schwier
lschwie2@jhu.edu
410-614-0300
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