A Monte Carlo technique for signal level detection in implanted intracranial pressure monitoring
| Autor: | John D. Charlton, R K Avent, Richard N. Johnson, H.T. Nagle |
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| Rok vydání: | 1987 |
| Předmět: |
Operations Research
Engineering Signal processing Intracranial Pressure business.industry Monte Carlo method Biomedical Engineering Signal Processing Computer-Assisted CUSUM Signal Sampling (signal processing) Electronic engineering Humans Waveform Computer Simulation Detection theory Artificial intelligence Tracking signal business Monte Carlo Method Monitoring Physiologic |
| Zdroj: | Annals of Biomedical Engineering. 15:79-89 |
| ISSN: | 1573-9686 0090-6964 |
| DOI: | 10.1007/bf02364169 |
| Popis: | Statistical monitoring techniques like CUSUM, Trigg's tracking signal and EMP filtering have a major advantage over more recent techniques, such as Kalman filtering, because of their inherent simplicity. In many biomedical applications, such as electronic implantable devices, these simpler techniques have greater utility because of the reduced requirements on power, logic complexity and sampling speed. The determination of signal means using some of the earlier techniques are reviewed in this paper, and a new Monte Carlo based method with greater capability to sparsely sample a waveform and obtain an accurate mean value is presented. This technique may find widespread use as a trend detection method when reduced power consumption is a requirement. |
| Databáze: | OpenAIRE |
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