In this paper, we present a compression method of the electrocardiogram (ECG) signals by a discrete cosine transform of principal components in order to reduce the dimensionality of different cardiac records. In first, the principal components analysis is used for high dimensional electrocardiographic data (ECG signal periods) so that we obtain its low dimensional representation by finding orthogonal linear combinations of ECG data with maximal variances. Secondly, we apply a varying discrete cosine transform thresholds of different principal directions of the data to increase the compression rate but preserving a good signal morphology. The results of the simulation on several MIT-BIH database records show that the proposed technique gave good compression ratios without distortions between the original and the reconstructed signal.
목차
Abstract 1. Introduction 2. Theory 2.1. Principal Components Analysis 2.2. Discrete Cosine Transform 3. Calculation 3.1. ECG Data Matrix Construction 3.2. DCT of Principal Components 4. Results and Discussion 5. Conclusion References
보안공학연구지원센터(IJSEIA) [Science & Engineering Research Support Center, Republic of Korea(IJSEIA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Software Engineering and Its Applications
간기
월간
pISSN
1738-9984
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Software Engineering and Its Applications Vol.10 No.1