TY - GEN
T1 - Dynamic model inversion techniques for breath-by-breath measurement of carbon dioxide from low bandwidth sensors
AU - Sivaramakrishnan, Shyam
AU - Rajamani, Rajesh
AU - Johnson, Bruce D.
PY - 2009/1/1
Y1 - 2009/1/1
N2 - Respiratory CO2 measurement (capnography) is an important diagnosis tool that lacks inexpensive and wearable sensors. This paper develops techniques to enable use of inexpensive but slow CO2 sensors for breath-by-breath tracking of CO2 concentration. This is achieved by mathematically modeling the dynamic response and using model-inversion techniques to predict input CO2 concentration from the slow-varying output. Experiments are designed to identify modeldynamics and extract relevant model-parameters for a solidstate room monitoring CO2 sensor. A second-order model that accounts for flow through the sensor's filter and casing is found to be accurate in describing the sensor's slow response. The resulting estimate is compared with a standard-of-care respiratory CO2 analyzer and shown to effectively track variation in breath-by-breath CO 2 concentration. This methodology is potentially useful for measuring fast-varying inputs to any slow sensor.
AB - Respiratory CO2 measurement (capnography) is an important diagnosis tool that lacks inexpensive and wearable sensors. This paper develops techniques to enable use of inexpensive but slow CO2 sensors for breath-by-breath tracking of CO2 concentration. This is achieved by mathematically modeling the dynamic response and using model-inversion techniques to predict input CO2 concentration from the slow-varying output. Experiments are designed to identify modeldynamics and extract relevant model-parameters for a solidstate room monitoring CO2 sensor. A second-order model that accounts for flow through the sensor's filter and casing is found to be accurate in describing the sensor's slow response. The resulting estimate is compared with a standard-of-care respiratory CO2 analyzer and shown to effectively track variation in breath-by-breath CO 2 concentration. This methodology is potentially useful for measuring fast-varying inputs to any slow sensor.
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U2 - 10.1109/IEMBS.2009.5333624
DO - 10.1109/IEMBS.2009.5333624
M3 - Conference contribution
C2 - 19964281
AN - SCOPUS:77950962920
SN - 9781424432967
T3 - Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
SP - 3039
EP - 3042
BT - Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society
PB - IEEE Computer Society
T2 - 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
Y2 - 2 September 2009 through 6 September 2009
ER -