원문정보
보안공학연구지원센터(IJBSBT)
International Journal of Bio-Science and Bio-Technology
Vol.4 No.2
2012.06
pp.111-120
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Monitoring systems in intensive care units (ICU) generate a high rate of false alarms 80% [8, 14, 15, 16]. This has the effect of desensitizing the medical staff and extending the response time to these alarms. In this work we present a new method to reduce false alarms in intensive care units that is based on packet wavelet decomposition and alarms classification by SVM.
목차
Abstract
1. Introduction
2. Related Works
2.1 Statistical Approaches
2.2 Artificial Intelligence Approaches
3. Methodology
3.1 Continuous Wavelets Transform CWT
3.2 Discrete Wavelets Transform
3.3 Packet Wavelets Transform PWT
4. Algorithm
5. Illustrative Example
6. Conclusion
Acknowledgements
References
1. Introduction
2. Related Works
2.1 Statistical Approaches
2.2 Artificial Intelligence Approaches
3. Methodology
3.1 Continuous Wavelets Transform CWT
3.2 Discrete Wavelets Transform
3.3 Packet Wavelets Transform PWT
4. Algorithm
5. Illustrative Example
6. Conclusion
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보