摘要
目的为满足嵌入式移动无线终端传输高采样率心电信号的需要,设计一种实时心电数据压缩算法。方法根据心电数据自身特点,在嵌入式S3C2440平台上,以Huffman算法、LZ77算法及LZW算法进行心电数据压缩并比较分析,在此基础上设计了一阶差分结合Huffman算法和LZ77算法的混合压缩算法。结果心电数据的压缩结果显示,该算法压缩比达7.20,平均计算时间392 ms,与普通压缩算法相比具有更高的心电压缩比和更低的时间复杂度。结论将该压缩算法运用到远程无线监测终端中能满足系统设计的要求。
Objective To meet the requirement of high sampling rate in ECG transmission for the embedded mobile wireless terminals, we provided a real-time ECG compression algorithm. Methods According to the characteristics of ECG data, we compressed and analyzed the ECG data with Huffman algorithm, LZ77 algorithm and LZW algorithm on the embedded $3C2440 platform. Based on the analysis of the three algorithms, we proposed a real-time ECG data compression algorithm combined with first-order differential, Huffman algorithm and LZ77 algorithm. Results The compression ratio of the proposed algorithm was 7.20 and the average calculate time was 392ms. Compared with the general compression algorithms, the proposed algorithm was with a higher compression ratio and a lower ECG time complexity. Conclusions This compression algorithm applied to the remote wireless monitoring terminal can meet the requirements of the system design.
出处
《北京生物医学工程》
2012年第3期258-261,267,共5页
Beijing Biomedical Engineering
基金
重庆市科技攻关项目(cstc2011jjA1026)
重庆市教委项目(KJ110813)资助
