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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sun, J.X. Reisner, A.T. Mark, R.G. |
| Copyright Year | 2006 |
| Description | Author affiliation: Massachusetts Inst. of Technol., Cambridge, MA (Sun, J.X.; Reisner, A.T.; Mark, R.G.) |
| Abstract | Fidelity of the arterial blood pressure (ABP) waveform is often critical to computations that involve processing of the waveform. The ABP waveform may be used for cardiac output (CO) estimation, suppression of ECG-based false alarms, and tracking long term trends such as mean pressure. An abnormal ABP waveform may cause these applications to give undesirable results. In this paper, we present a signal abnormality index (SAI) algorithm that detects abnormal beats in ABP waveforms. The algorithm flags ABP beats by intelligently setting constraints on physiologic, noise/artifact, and beat-to-beat variation values. Compared to an expert annotator, the algorithm's sensitivity=1, specificity=0.91, positive predictive value=0.73, and negative predictive value=l. We also perform a sensitivity analysis to show SAI's robustness. Finally, we use SAI to identify clean ABP segments from our study population and show that CO estimation error is 30% less in the clean subset than in the entire population. |
| Starting Page | 13 |
| Ending Page | 16 |
| File Size | 135587 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424425327 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-09-17 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Computers in Cardiology(CinC) |
| Subject Keyword | Arterial blood pressure Biomedical monitoring Low-frequency noise Databases Algorithm design and analysis Hemodynamics Heart rate Blood pressure Detectors Signal processing |
| Content Type | Text |
| Resource Type | Article |
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