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ECG data compression by spline approximation

  • Published:1997-05 Issue:1 Volume:59 Page:43-59
  • ISSN:0165-1684
  • Container-title:Signal Processing
  • language:en
  • Short-container-title:Signal Processing

Author:

Karczewicz Marta,Gabbouj Moncef

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference26 articles.

1. Electrocardiographic data compression via orthogonal transforms;Ahmed;IEEE Trans. Biomed. Eng.,1978

2. Inserting new knots into B-spline curves;Boehm;Comput. Aided Des.,1980

3. On calculating with B-splines;de Boor;J. Approx. Theory,1972

4. Least-squares cubic spline approximation II: variable knots;de Boor,1968

5. The least-squares solution of overdetermined linear equations having band or augmented bandstructure;Cox;IMA J. Numer. Anal.,1981

Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ECG compression using optimized B-spline;Multimedia Tools and Applications;2023-02-16

2. Electrocardiogram Classification Using Wavelet Transformations;2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET);2020-02

3. Electrocardiogram compression using the nonlinear iterative partial least squares algorithm: a comparison between adaptive and non-adaptive approach;International Journal of Biomedical Engineering and Technology;2020

4. Generalized Rational Variable Projection With Application in ECG Compression;IEEE Transactions on Signal Processing;2020

5. Ensemble Learning for Heartbeat Classification Using Adaptive Orthogonal Transformations;Computer Aided Systems Theory – EUROCAST 2019;2020
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