Efficient electrocardiogram (ECG) lossy compression scheme

A. Hatim, R. Latif, Oussama El Bachari, M. Arioua
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引用次数: 1

Abstract

A new electrocardiogram (ECG) lossy compression scheme has been developed. The algorithm can reach high compression ratios with a reduced error which makes it suitable for real-time electrocardiogram monitoring. The new algorithm is based on delta coding technique. Low and high coding categories were made to encode the differences and insure an optimized compressed signal. In addition the number of successive coded differences is flexible and defined with a window size. A new frame format was developed to transmit data. The algorithm has been verified using multiple and most frequent normal and pathological types of cardiac signals from MIT-BIH physionet data bases. The algorithm can reach a mean compression ratio of 33.45 and a mean PRD of 0.25%. The proposed algorithm has a low complexity and is very suitable for hardware designs.
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有效的心电图(ECG)有损压缩方案
提出了一种新的心电图有损压缩方案。该算法具有较高的压缩比和较小的误差,适合于实时心电图监测。该算法基于增量编码技术。采用高、低两种编码分类对差异进行编码,确保压缩信号的优化。此外,连续编码差异的数量是灵活的,并使用窗口大小来定义。开发了一种新的帧格式来传输数据。该算法已经使用来自MIT-BIH physionet数据库的多种和最常见的正常和病理类型的心脏信号进行了验证。该算法的平均压缩比为33.45,平均PRD为0.25%。该算法复杂度低,非常适合硬件设计。
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