...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IOSR journal of electrical and electronics engineering >Development of Hybrid Lossless ECG Signal Compression Technique by Concatenation of Discrete Cosine with Fast Fourier Transforms
【24h】

Development of Hybrid Lossless ECG Signal Compression Technique by Concatenation of Discrete Cosine with Fast Fourier Transforms

机译：用快速傅里叶变换的离散余弦串联开发混合无损ECG信号压缩技术

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The necessity of better Electrocardiogram (ECG) signal compression techniques is greater today than few years ago for several reasons. The quantity of ECG records is increasing in millions each year and previous records cannot be deleted since ECG signal is important for the comparison of records obtained over a long period of time to monitor the state of patients' heart. Therefore, it is imperative to ensure data generated is compressed as much as possible so that it takes up the least amount of space necessary and could be effectively transmitted despite the bandwidth limitation. In this research, hybrid lossless electrocardiogram signal compression algorithm using discrete cosine transform (DCT) and fast Fourier transform (FFT) was developed to find an optimal compression strategy for ECG data. The compression was carried out in two stages; DCT performed the first stage of compression while the FFT performed the second stage of compression. The algorithm was developed in MATLAB environment and the performance of the developed algorithm was tested in terms of the compression ratio (CR) and the percentage root mean difference (PRD) distortion metrics for the compression of data extracted from records 100 and 102 of the MIT-BIH database. The sampling rate and resolution were 360 Hz and 11-bit, respectively. The obtained results revealed that developed technique possesses higher compression ratios and acceptable reconstruction signal quality. For the record 100, the developed hybrid technique achieved a saving percentage (SP) of 95.03%, compression ratio (CR) of 45.60 with acceptable signal distortion (PRD) of 8.911%. For the record 102, the developed hybrid technique achieved SP of 98.08%, CR of 39.01 and PRD of 8.975% which are suitable for most monitoring and diagnoses applications.
机译：由于几年以前，更好的心电图（ECG）信号压缩技术的必要性出于几个原因。 ECG记录的数量在数百万内增加，并且由于ECG信号对于在长时间获得的记录比较来监测患者心脏状态的记录来看，因此无法删除之前的记录。因此，必须确保产生的数据尽可能多地被压缩，使得它占据最少的空间量，尽管带宽限制可以有效地传输。在该研究中，开发了使用离散余弦变换（DCT）和快速傅里叶变换（FFT）的混合无损心电图信号压缩算法，以找到ECG数据的最佳压缩策略。压缩在两个阶段进行; DCT在FFT执行的第二级压缩时执行压缩阶段。该算法在MATLAB环境中开发，并根据压缩比（CR）测试开发算法的性能，以及用于从MIT的记录100和102提取的数据压缩数据的百分比均值（PRD）失真度量。 -bih数据库。采样率和分辨率分别为360Hz和11位。所获得的结果表明，开发技术具有更高的压缩比和可接受的重建信号质量。对于记录100，开发的混合技术实现了95.03％，压缩比（Cr）为45.60的节约百分比（SP），可接受的信号变形（PRD）为8.911％。对于记录102，开发的混合技术实现了98.08％，Cr为39.01％，PRD为8.975％，适用于大多数监测和诊断应用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号