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• W2763601948 abstract "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 and 5/3 are employed for signal decomposition instead of traditional wavelet. A hybrid encoding scheme improves compression efficiency by encoding the higher scales of decomposed coefficients with modified embedded zero-tree wavelet (EZW) and the lowest scale with Huffman encoding. Besides, a transposable register matrix for coefficients buffering during EZW encoding lowers the processing frequency without extra register resource. Implemented in SMIC 40 nm CMOS process, the processor only takes a total gate count of 10.8 K with 92 nW power consumption under 0.5 V voltage and achieves a compression ratio of 2.71 for lossless compression and 14.9 for lossy compression with PRD of 0.39%." @default.
• W2763601948 created "2017-10-20" @default.
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• W2763601948 date "2017-01-01" @default.
• W2763601948 modified "2023-10-02" @default.
• W2763601948 title "A lifting wavelet based lossless and lossy ECG compression processor for wireless sensors" @default.
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• W2763601948 doi "https://doi.org/10.1587/elex.14.20170865" @default.
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