Wavelet-based ECG compression by bit-field preserving and running length encoding.
Efficient electrocardiogram (ECG) compression can reduce the payload of real-time ECG transmission as well as reduce the amount of data storage in long-term ECG recording. In this paper an ECG compression/decompression architecture based on the bit-field preserving (BFP) and running length encoding (RLE)/decoding schemes incorporated with the discrete wavelet transform (DWT) is proposed. Compared to complex and repetitive manipulations in the set partitioning in hierarchical tree (SPIHT) coding and the vector quantization (VQ), the proposed algorithm has advantages of simple manipulations and a feedforward structure that would be suitable to implement on very-large-scale integrated circuits and general microcontrollers.
Chan
Hsiao-Lung
HL
Department of Electrical Engineering, Chang Gung University, Kweishan, Taoyuan 333, Taiwan. chanhl@mail.cgu.edu.tw
Siao
You-Chen
YC
Chen
Szi-Wen
SW
Yu
Shih-Fan
SF
D000465:Algorithms; D001145:Arrhythmias, Cardiac / Q000175:diagnosis*; D044962:Data Compression / Q000379:methods*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004562:Electrocardiography; D006801:Humans; D012815:Signal Processing, Computer-Assisted