文档介绍：重庆理工大学
硕士学位论文
动态心电数据压缩方法的研究
姓名:卢雄
申请学位级别:硕士
专业:计算机应用技术
指导教师:朱凌云
2011-06-01
摘要
摘要
动态心电图(Ambulatory Electrocardiograph) 的应用和推广是提高心血管疾
病防治水平的有效途径。动态心电图的长时间记录和多导联等特性,导致其数据
量较大,不便于存储和远程传输,需要进行压缩处理。
论文首先对动态心电信号进行预处理,通过引入四点平均滤波器,去除了原
始信号中的高频噪声和基线漂移。结合小波分析在信号奇异点检测中的优势,利
用小波变换在 V5 导联中进行 R 波检测,并通过对漏检、多检或误检等情况进行
修正,提高了 R 波检测结果的准确率和算法的鲁棒性,在此基础上,将动态心
电数据分为特征波形数据和非特征波形数据,分别进行压缩与重构。由于 QRS
波群具有重要的诊断价值,因此将其视为特征波形,并采用 Huffman 编码进行无
损压缩和重构;通过选取合适的下采样因子,对非特征波形进行下采样有效减少
数据量,并且对下采样结果应用三次插值算法进行非特征波形重构,能较好地恢
复 P 波和 T 波等诊断信息,非特征波形的下采样结果使用 Huffman 编码以进一
步提高压缩效率。
论文还介绍了动态心电压缩算法的评价指标,研究发现算法的压缩效率与重
构信号误差主要受下采因样子影响。计算并度量了重构信号误差与压缩比随下采
样因子的变化情况,其结果表明:当下采样因子不大于 5 时 P-QRS-T 诊断波形
重构效果较好,算法全局压缩比为 ~,压缩性能优于同类算法。论文最
后分析了算法的计算复杂度,其中,基于小波变换的波形检测、非特征波形的下
采样及其三次插值重建等主要算法环节的计算复杂度均为ON()。

关键词:动态心电图;数据压缩;小波变换;下采样;误差分析
I
Abstract
Abstract
The application and popularization of ambulatory electrocardiograph (Ambulator
ECG) is an effective approach to improve the prevention and treatment of
cardiovascular diseases. The characteristics of Ambulator ECG, such as long-time
record and multileads, lead to the large volume of data, and create difficulties for
storage and remote transmission. This promotes the requirement of pression.
First of all, this paper denoised the original Ambulator ECG by introducing a
four-point averaging filter and putting forward improving for some signal defects. The
high-frequency noise was removed and the baseline drift was corrected.
By taking advantage of the wavelets in signal singularity detection, this paper
detected R waves in Lead V5. Combined with other detection methods, the undetected,
over-detected or false detected R waves were corrected and the robustness of this
detection algorithm has been improved. The different data leads among Ambulator
ECG were synchronously recorded, so the result from the R waves detection
algorithm also applied to other leads. Feature waves and non-feature waves were