지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2010.9
- 수록면
- 1,322 - 1,329 (8page)
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초록· 키워드
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As body sensor network (BSN) research becomes mature, the need for managing power consumption of sensor nodes has become evident since most of the applications are designed for continuous monitoring. Real time Electrocardiograph (ECG) analysis on sensor nodes is proposed as an optimal choice for saving power consumption by reducing data transmission overhead. Smart sensor nodes with the ability to categorize lately detected ECG cycles communicate with base station only when ECG cycles are classified as abnormal. In this paper, ECG classification algorithms are described, which categorize detected ECG cycles as normal or abnormal, or even more specific cardiac diseases. Our Euclidean distance (ED) based classification method is validated to be most power efficient and very accurate in determining normal or abnormal ECG cycles. A close comparison of power efficiency and classification accuracy between our ED classification algorithm and generalized linear model (GLM) based classification algorithm is provided. Through experiments we show that, CPU cycle power consumption of ED based classification algorithm can be reduced by 31.21% and overall power consumption can be reduced by 13.63% at most when compared with GLM based method. The accuracy of detecting NSR, APC, PVC, SVT, VT, and VF using GLM based method range from 55% to 99% meanwhile, we show that the accuracy of detecting normal and abnormal ECG cycles using our ED based method is higher than 86%.
목차
ABSTRACT
Ⅰ. Introduction
Ⅱ. Related Work
Ⅲ. System Operation
Ⅳ. ECG Analysis Algorithms
Ⅴ. Simulation Results
Ⅵ. Conclusions
References
참고문헌 (13)
참고문헌 신청
1. [학술대회논문] - D. Lee / 2007 / An ECG analysis on sensor node for reducing traffic overload in u-healthcare with wireless sensor network / Proc. of 6th IEEE Sensors Conference : 256 ~ 259
2. [학술대회논문] - C. Park / 2006 / Eco:ultra-wearable and expandable wireless sensor platform / Proc. of International Workshop on Wearable and Implantable Body Sensor Networks : 162 ~ 165
3. [학술대회논문] - Y. F. Wang / 2009 / A body sensor network platform for In-home health monitoring application / Proc. of 4th International Conference on Ubiquitous Information Technologies & Applications : 1 ~ 5
4. [학술대회논문] - A. C. W. Wong / 2009 / Sensium:an ultra-low-power wireless body sensor network platform:design & application challenges / Proc. of Annual International Conference of the IEEE Engineering in Medicine and Biology Society : 6576 ~ 6579
5. [학술대회논문] - J. M. Gu / 2007 / Low power transmitter design for BAN / Proc. of Biomedical Circuits and Systems Conference : 175 ~ 178
2. [학술대회논문] - C. Park / 2006 / Eco:ultra-wearable and expandable wireless sensor platform / Proc. of International Workshop on Wearable and Implantable Body Sensor Networks : 162 ~ 165
3. [학술대회논문] - Y. F. Wang / 2009 / A body sensor network platform for In-home health monitoring application / Proc. of 4th International Conference on Ubiquitous Information Technologies & Applications : 1 ~ 5
4. [학술대회논문] - A. C. W. Wong / 2009 / Sensium:an ultra-low-power wireless body sensor network platform:design & application challenges / Proc. of Annual International Conference of the IEEE Engineering in Medicine and Biology Society : 6576 ~ 6579
5. [학술대회논문] - J. M. Gu / 2007 / Low power transmitter design for BAN / Proc. of Biomedical Circuits and Systems Conference : 175 ~ 178
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