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  • Title: A low cost quadratic level ECG compression algorithm and its hardware optimization for body sensor network system.
    Author: Kim H, Kim Y, Yoo HJ.
    Journal: Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():5490-3. PubMed ID: 19163960.
    Abstract:
    A low cost quadratic level compression algorithm is proposed for body sensor network system. The proposed algorithm reduces the encoding delay and the hardware cost, while maintaining the reconstructed signal quality. The quadratic compression level determined by the mean deviation value is used to preserve the critical information with high compression ratio. The overall CR is 8.4:1, the PRD is 0.897% and the encoding rate is 6.4 Mbps. The 16-bit sensor node processor is designed, which supports the proposed compression algorithm. The processor consumes 0.56 nJ/bit at 1 V supply voltage with 1 MHz operating frequency in 0.25-microm CMOS process.
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