A lifting wavelet based lossless and lossy ECG compression processor for wireless sensors

• DOI: 10.1587/elex.14.20170865
• Publication Date: 2017-10-05T22:13:32Z
• Authors: Jiahui Luo; Zhijian Chen; Xiaoyan Xiang; Jianyi Meng
• Keywords: Lossy compression; Data compression ratio; Golomb coding; Arithmetic coding; Lossless JPEG

This work presents an electrocardiogram (ECG) compression processor for wireless sensors with configurable data lossless and lossy compression. Lifting wavelet transforms of 9/7-M 5/3 are employed signal decomposition instead traditional wavelet. A hybrid encoding scheme improves efficiency by the higher scales decomposed coefficients modified embedded zero-tree (EZW) lowest scale Huffman encoding. Besides, a transposable register matrix buffering during EZW lowers processing frequency without extra resource. Implemented in SMIC 40 nm CMOS process, only takes total gate count 10.8 K 92 nW power consumption under 0.5 V voltage achieves ratio 2.71 14.9 PRD 0.39%.