Title :
Time series analysis for ECG data compression
Author_Institution :
Dept. of Comput. & Syst. Eng., Ain Shams Univ., Cairo, Egypt
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.756278
