A real-time ECG data compression algorithm for a digital holter system.
This paper describes a real time ECG compression algorithm for a digital holter system. Proposed algorithm consists of five main procedures. First procedure is to differentiate signals, second is to choose a period of the differentiated signals and store them in memory, third is to perform the DCT(Discrete Cosine Transform) on the stored data, fourth is to apply a window filter, and fifth procedure is to apply Huffman Coding compression method on the data. This developed algorithm has been tested by applying 12 ECGs(electrocardiograms) from the MIT-BIH database and the PRD(Percent RMS Difference) and the CR(Compression Ratio) are calculated. It is found that the algorithm achieved a high level of compression performance with 1.82 of PRD and 8.82:1 of CR in average.
Lee
Sangjoon
S
Department of Electrical and Electronic Engineering, Yonsei University, 134 Sinchon-dong, Seodaemun-gu, Seoul, Korea. sj.lee@yonsei.ac.kr
Lee
Myoungho
M
D000465:Algorithms; D003198:Computer Simulation; D003201:Computers; D044962:Data Compression / Q000379:methods*; D004562:Electrocardiography / Q000379:methods*; D001330:Electronic Data Processing; D006801:Humans; D015233:Models, Statistical; D012815:Signal Processing, Computer-Assisted; D012984:Software; D013997:Time Factors