基于小波混合变换的心电数据压缩性能分析

2015 International Conference on Microwave, Optical and Communication Engineering (ICMOCE) Pub Date : 2015-12-01 DOI:10.1109/ICMOCE.2015.7489709

C. Jha, M. Kolekar

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引用次数: 7

摘要

有效地压缩和传输心电图(ECG)数据是监测农村地区心脏病患者健康的首要问题。从过去的几十年到现在，人们对此进行了研究。为此已经开发了许多算法，它在远程医疗应用中起着至关重要的作用。本文提出了一种基于混合变换方法的压缩性能分析方法，该方法比单级变换方法具有更高的压缩比。为了实现混合变换方法，采用了两种变换的组合。快速傅里叶变换，离散正弦变换和离散余弦变换在变换1阶段被使用，而离散小波变换在变换2阶段被使用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Performance analysis of ECG data compression using wavelet based hybrid transform method

Efficient compression and transmission of electrocardiogram (ECG) data is a prime concern to monitor a heart patient's health from rural areas. Research has been carried out for this from last several decades to present. There are many algorithms which have been developed for this and it plays a vital role for telemedicine applications. This paper presents a compression performance analysis based on hybrid transform methods which provide higher compression ratio than single stage transform method. To implement hybrid transform method, combinations of two transforms have been used. Fast Fourier transform, discrete sine transform and discrete cosine transform have been used at transform 1 stage whereas discrete wavelet transform has been used at transform2 stage.

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2015 International Conference on Microwave, Optical and Communication Engineering (ICMOCE)

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