Journal
IET SCIENCE MEASUREMENT & TECHNOLOGY
Volume 11, Issue 3, Pages 346-353Publisher
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-smt.2016.0360
Keywords
electrocardiography; medical signal processing; principal component analysis; correlation methods; matrix algebra; compression technique; temporal modelling; ECG signal; principle component analysis; electrocardiogram signal; PC analysis; two-dimensional matrix; temporal interbeat correlation; temporal intrabeat correlation; MIT-BIH arrhythmia database; root-mean-square difference; signal-to-noise ratio; telecardiology
Categories
Ask authors/readers for more resources
This study presents an improved technique for compression of electrocardiogram (ECG) signals, based on beat correlation of signal and principle component (PC) analysis, for ECG signal. For this purpose, two-dimensional matrix of ECG signal based on temporal inter-and intra-beat correlation is constructed, and further compression is achieved using PC extraction. Beat correlation helps to generate very few PCs that increase the compression efficiency. A detailed analysis has been presented for ten signals having different rhythms, wave morphologies and abnormalities of Massachusetts Institute of Technology - Beth Israel Hospital (MIT-BIH) arrhythmia database. The effectiveness of the proposed method is examined with several attributes such as percentage root-mean-square difference, compression ratio, signal-to-noise ratio and correlation. Experimental results have shown that this method is very efficient for compression and suitable for different applications of telecardiology.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available