Wavelet based ECG compression with adaptive thresholding and efficient coding.
This paper proposes a new wavelet-based ECG compression technique. It is based on optimized thresholds to determine significant wavelet coefficients and an efficient coding for their positions. Huffman encoding is used to enhance the compression ratio. The proposed technique is tested using several records taken from the MIT-BIH arrhythmia database. Simulation results show that the proposed technique outperforms others obtained by previously published schemes.
Alshamali
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Communication Engineering Department, Hijjawi Faculty, Yarmouk University, Irbid, Jordan. ashamali@yu.edu.jo
D000465:Algorithms; D001145:Arrhythmias, Cardiac; D003198:Computer Simulation; D016208:Databases, Factual; D004562:Electrocardiography / Q000379:methods*; D006801:Humans; D012815:Signal Processing, Computer-Assisted