Capnometers can fail in a number of ways that are not detectable using current static calibration testing procedures. These failures could include leaks in the sample line, a weak sample pump, inadequate dynamic response, flow restriction and flow obstruction. Failure of a capnometer during critical care procedures such as sedation and anesthesia can be life threatening to patients. We plan to develop a patient breath simulator that will allow for the testing of capnometers under dynamic conditions seen during patient use. We propose to develop a portable device and control algorithms that will be capable of simulating CO2 concentrations and pressure waveforms mimicking human respiratory cycles. The same device will have additional testing modes that will identify capnometer failures that cannot be detected under static calibration. We propose to verify the ability of the device to detect real world failure modes by testing it on a number of capnometers that have been modified to simulate these failures. The ability to detect capnometer failures under real world conditions using an automated tester will improve patient safety as well as increase standardization of testing procedures and decrease testing and calibration costs.

Public Health Relevance

One out of every hundred incidence reports involving capnometry is attributed to capnometer malfunction and could have been prevented if the capnometer was functioning properly. Capnometry allows clinicians to diagnose various pulmonary and cardiac conditions and is used during critical care procedures including sedation and anesthesia where failure can be life threatening. Current steady flow calibration procedures are inadequate for detecting capnometer failure modes that only occur under dynamic conditions found during normal usage. Our work will develop a portable device capable of simulating human breathing (including CO2 and pressure waveforms) under various conditions that will allow for a wider range of dynamic testing and increased assurance that the capnometer is functioning properly. This device will improve patient safety by early and quick detection of life threatening functional issues while actually standardizing and decreasing overall testing time.

Agency
National Institute of Health (NIH)
Type
Small Business Innovation Research Grants (SBIR) - Phase I (R43)
Project #
1R43HL124699-01
Application #
8779523
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Gan, Weiniu
Project Start
Project End
Budget Start
Budget End
Support Year
1
Fiscal Year
2014
Total Cost
Indirect Cost
Name
Witting Innovation, LLC
Department
Type
DUNS #
City
Washington
State
UT
Country
United States
Zip Code
84780