Title :
ECG signal compression and analysis in long-term monitoring
Author :
Huang, B. ; Kinsner, W.
Author_Institution :
Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada
Abstract :
This paper presents a moment-invariant compression technique for electrocardiogram (ECG) signals, applicable in a long-term (Holter) monitoring and analysis. It focuses on morphological cycle-to-cycle ECG data compression of a normal case. Experimental results show that the technique is suitable for real-time computation. Combined with Shannon-Fano encoding, the compression ratio achieves 21.74:1. The reconstruction error is very low, and performance is less affected by noise.
Keywords :
coding errors; data compression; electrocardiography; medical signal processing; patient monitoring; real-time systems; signal reconstruction; ECG signal compression; Holter monitoring; Shannon-Fano encoding; compression ratio; electrocardiogram signals; long-term monitoring; moment-invariant compression technique; morphological cycle-to-cycle ECG data compression; noise; normal case; performance; real-time computation; reconstruction error; Computerized monitoring; Data compression; Data engineering; Electrocardiography; Image reconstruction; Laboratories; Morphology; Signal analysis; Signal processing; Signal sampling;
Conference_Titel :
Electrical and Computer Engineering, 1999 IEEE Canadian Conference on
Conference_Location :
Edmonton, Alberta, Canada
Print_ISBN :
0-7803-5579-2
DOI :
10.1109/CCECE.1999.808050
