DocumentCode
336226
Title
Time series analysis for ECG data compression
Author
Abbas, Hazem M.
Author_Institution
Dept. of Comput. & Syst. Eng., Ain Shams Univ., Cairo, Egypt
Volume
3
fYear
1999
fDate
15-19 Mar 1999
Firstpage
1537
Abstract
This work presents a new electrocardiogram (ECG) data compression method. By differentiating the signal and using proper thresholding, the ECG is first segmented into a sequence of straight lines. The vertices of these lines are used to encode the signal. The decoding part works by applying the fast orthogonal search (FOS) method (Korenberg and Paarmann 1991) to reconstruct the original signal. Simulation results have demonstrated the efficiency of the algorithm
Keywords
data compression; decoding; electrocardiography; medical signal processing; search problems; signal reconstruction; time series; ECG data compression; FOS method; decoding; efficiency; electrocardiogram; fast orthogonal search method; reconstruction; thresholding; time series analysis; vertices; Data analysis; Data compression; Decoding; Ear; Electrocardiography; Frequency; Piecewise linear approximation; Piecewise linear techniques; Signal processing; Time series analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location
Phoenix, AZ
ISSN
1520-6149
Print_ISBN
0-7803-5041-3
Type
conf
DOI
10.1109/ICASSP.1999.756278
Filename
756278
Link To Document