무선센서네트워크 기반의 웨어러블 센서노드에서 3축 가속도 신호의 단채널 전송과 심전도 노이즈 제거에 대한 연구
A Research for Removing ECG Noise and Transmitting 1-channel of 3-axis Accelerometer Signal in Wearable Sensor Node Based on WSN
0
조회
0
다운로드
2
인용
0
참고문헌
키워드
초록
Wireless sensor network(WSN) has the potential to greatly effect many aspects of u-healthcare. By outfitting the potential with WSN, wearable sensor node can collects real-time data on physiological status and transmits through base station to server PC. However, there is a significant gap between WSN and healthcare. WSN has the limited resource about computing capability and data transmission according to bio-sensor sampling rates and channels to apply healthcare system. If a wearable node transmits ECG and accelerometer data of 4 channel sampled at 100 Hz, these data may occur high loss packets for transmitting human activity and ECG to server PC. Therefore current wearable sensor nodes have to solve above mentioned problems to be suited for u-healthcare system. Most WSN based activity and ECG monitoring system have been implemented some algorithms which are applied for signal vector magnitude(SVM) algorithm and ECG noise algorithm in server PC. In this paper, A wearable sensor node using integrated ECG and 3-axial accelerometer based on wireless sensor network is designed and developed. It can form multi-hop network with relay nodes to extend network range in WSN. Our wearable nodes can transmit 1-channel activity data processed activity classification data vector using SVM algorithm to 3-channel accelerometer data. ECG signals are contaminated with high frequency noise such as power line interference and muscle artifact. Our wearable sensor nodes can remove high frequency noise to clear original ECG signal for healthcare monitoring.
Abstract
Wireless sensor network(WSN) has the potential to greatly effect many aspects of u-healthcare. By outfitting the potential with WSN, wearable sensor node can collects real-time data on physiological status and transmits through base station to server PC. However, there is a significant gap between WSN and healthcare. WSN has the limited resource about computing capability and data transmission according to bio-sensor sampling rates and channels to apply healthcare system. If a wearable node transmits ECG and accelerometer data of 4 channel sampled at 100 Hz, these data may occur high loss packets for transmitting human activity and ECG to server PC. Therefore current wearable sensor nodes have to solve above mentioned problems to be suited for u-healthcare system. Most WSN based activity and ECG monitoring system have been implemented some algorithms which are applied for signal vector magnitude(SVM) algorithm and ECG noise algorithm in server PC. In this paper, A wearable sensor node using integrated ECG and 3-axial accelerometer based on wireless sensor network is designed and developed. It can form multi-hop network with relay nodes to extend network range in WSN. Our wearable nodes can transmit 1-channel activity data processed activity classification data vector using SVM algorithm to 3-channel accelerometer data. ECG signals are contaminated with high frequency noise such as power line interference and muscle artifact. Our wearable sensor nodes can remove high frequency noise to clear original ECG signal for healthcare monitoring.
참고문헌 (12)
- M.Rigby, "Applying emergent ubiquitous technologies in health:The need to respond to new challenges of opportunity,expectation,and responsibility", International Journal of Medical Informatics, 76(3), pp.349~352 (2007)
- 토싱후이, "Mobile u-healthcare system in IEEE 802.15.4 WSN and CDMA network environments", 센서학회지, 18(5), pp.337~342 (2009), 한국센서학회
- J. Luprano, "Luprano and O", Preceding of International Workshop on Wearable Micro and Nanosystems for Personalised Health (2008)
- F. Hu, "Robust medical ad hoc sensor networks(MASN)with waveletbased ECG data mining", Ad Hoc Networks, 6(7), pp.986~1012 (2008)
- 이정현, "체온측정용 온도 센서 및 모니터링 텔레메트리 시스템 구현", 센서학회지, 19(6), pp.435~442 (2010), 한국센서학회
- H. Alemdar, "Wireless sensor networks for healthcare:A survey", Computer Networks, 54(15), pp.2688~2710 (2010)
- 이승철, "홈 헬스케어를 위한 무선센서네트워크 라우팅 프로토콜 디자인 및 평가", 센서학회지, 19(4), pp.297~305 (2010), 한국센서학회
- P.S. Pandian, "Smart vest:Wearable multi-parameter remote physiological monitoring system", Medical Engineering & Physics, 30(4), pp.466~477 (2008)
- 이주원, "Design of an Adaptive Filter with a Dynamic Structure for ECG Signal Processing", International Journal of Control, Automation, and Systems, 3(1), pp.137~142 (2005), 제어·로봇·시스템학회
- D.M. Karantonis, "Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring", Information Technology in Biomedicine, 10(1), pp.156~167 (2006)
- J.-A. Lee, "Portable Activity Monitoring System for Temporal Parameters of Gait Cycles", Journal Of Medical Systems, 0(0), pp.1~8 (2009)