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| Content Provider | ACM Digital Library |
|---|---|
| Author | Weimer, James Ivanov, Radoslav Lee, Insup Rehman, Mohamed Simpao, Allan |
| Abstract | This paper aims to improve the design of modern Medical Cyber Physical Systems through the addition of supplemental noninvasive monitors. Specifically, we focus on monitoring the arterial blood oxygen content $(C_{a}O_{2}),$ one of the most closely observed vital signs in operating rooms, currently measured by a proxy -- peripheral hemoglobin oxygen saturation $(S_{p}O_{2}).$ While $S_{p}O_{2}$ is a good estimate of $O_{2}$ content in the finger where it is measured, it is a delayed measure of its content in the arteries. In addition, it does not incorporate system dynamics and is a poor predictor of future $C_{a}O_{2}$ values. Therefore, as a first step towards supplementing the usage of $S_{p}O_{2},$ this work introduces a predictive monitor designed to provide early detection of critical drops in $C_{a}O_{2}$ caused by a pulmonary shunt in infants. To this end, we develop a formal model of the circulation of oxygen and carbon dioxide in the body, characterized by unknown patient-unique parameters. Employing the model, we design a matched subspace detector to provide a near constant false alarm rate invariant to these parameters and modeling uncertainties. Finally, we validate our approach on real-patient data from lung lobectomy surgeries performed at the Children's Hospital of Philadelphia. Given 198 infants, the detector predicted 81% of the critical drops in $C_{a}O_{2}$ at an average of about 65 seconds earlier than the $S_{p}O_{2}-based$ monitor, while achieving a 0.9% false alarm rate (representing about 2 false alarms per hour). |
| Starting Page | 110 |
| Ending Page | 119 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781450334556 |
| DOI | 10.1145/2735960.2735962 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2015-04-14 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |
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