Earticle

초록

영어

Recently, wireless sensor networks have been proposed for assisted living and residential
monitoring. In such networks, physiological sensors are used to monitor vital signs e.g. heartbeats, pulse rates, oxygen saturation of senior citizens. Sensor data is sent periodically
via wireless links to a personal computer that analyzes the data. In this paper, we first describe the architecture of a sensor-based medical information system that we are developing. Then, we describe how we deal with security issues in our system. Next, we describe an ECG anomaly detection scheme that we proposed. Our approach is based on time series analysis that will allow the computer to determine whether a stream of real-time sensor data contains any abnormal heartbeats. If anomaly exists, that time series segment will be transmitted via the network to a physician so that he/she can further diagnose the problem and take appropriate actions. When tested against the heartbeat data readings stored at the MIT database, our ECG anomaly scheme is shown to have better performance than another scheme that has been recently proposed. Our scheme enjoys an accuracy rate that varies from 70-90% while the other scheme has an accuracy that varies from 40-70%.

목차

Abstract
 1. INTRODUCTION
 2. RELATED WORK
  2.1 ECG Anomaly Detection
  2.2 Related Work on Security Design of Medical Information System
 3. ARCHITECTURE OVERVIEW OF OUR SENSOR-BASED MEDICALINFORMATION SYSTEM
  3.1 Security Challenges
  3.2 Security Design
 4. OVERVIEW OF THE BFDD AND AWDD SCHEMES
  4.1 Notations Used
  4.2 Adaptive Window Based Discord Discovery (AWDD) Scheme
 5 . EVALUATION RESULTS
  5.1 ECG Datasets
  5.2 Training & Testing using Record 106
  5.3 Accuracy Comparison
 6. CONCLUSION
 Acknowledgment
 REFERENCES

저자

• M. Chuah, F. Fu [ Department of Computer Science & Engineering Lehigh University ]
• P. Yang [ Department of Computer Science & Engineering Lehigh University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605