Title :
SPIHT compression of ECG signals using an image processing concept
Author :
Adel, Heike ; Zahran, O. ; Al-Nauimy, Waleed ; El-Halafawy, Said ; El-Sayed, Taha ; El-Samie, Fathi E Abd
Author_Institution :
Electron. & Electr. Commun. Eng. Dept., Menofia Univ., Menouf, Egypt
Abstract :
In this paper, a new electrocardiogram (ECG) data compression algorithm is presented. This algorithm converts the 1-D ECG signal into a 2-D matrix and then preprocessing is performed in order to compress the 2-D matrix with the Set Partitioning In Hierarchical Trees (SPIHT) algorithm. The periods of ECG signals are found by the detection of the QRS complex, and then alignment and period sorting are used to convert the ECG signal into a matrix. The effect of Additive White Gaussian Noise (AWGN) on the quality of the compressed ECG signals is studied.
Keywords :
AWGN; electrocardiography; image coding; matrix algebra; medical image processing; set theory; trees (mathematics); 1D ECG signal; 2D matrix compression; AWGN; ECG signal SPIRT compression; ECG signal periods; QRS complex detection; additive white Gaussian noise; alignment; electrocardiogram data compression algorithm; image processing; period sorting; set partitioning in hierarchical trees algorithm; Discrete cosine transforms; Electrocardiography; Encoding; Image coding; Image reconstruction; Wavelet transforms;
Conference_Titel :
Informatics and Systems (INFOS), 2012 8th International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4673-0828-1
