Earticle

초록

영어

Remote monitoring of cardiopulmonary activities using quadrature direct conversion Doppler radar shows remarkable promise in medical and security applications. One major challenge for such monitoring is demodulation of the IQ signals and heart and respiration rate determination. This paper presents a rate finding algorithm based on extended kalman filter (EKF) and principal component analysis. We present a state space model of the quadrature IQ signals and use it with the EKF to simultaneously estimate and track heart and respiration rate by a unified statistical approach. We evaluate the performance of the algorithm for practical data obtained from the implemented hardware and present the results to illustrate the feasibility and accuracy of the algorithm. Results are compared with reference ECG results which clearly demonstrate that the proposed algorithm can be successfully applied for heart and respiration rate detection.

목차

Abstract
 1. Introduction
 2. Qudrature Doppler Radar Transceiver
 3. Signal Processing Technique
 4. Extended Kalman Filter Review
 5. System Model
 6. Results and Discussion
 3. Conclusion
 References

키워드

저자

• Mohammad Shaifur Rahman [ Dept. of Electrical and Electronic Engineering Khulna University of Engineering & Technology, Bangladesh ]
• Ki-Doo Kim [ Department of Electronics Engineering Kookmin University, Seoul, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Bio-Science and Bio-Technology

• 간기

  격월간

• pISSN

  2233-7849

• 수록기간

  2009~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605