An efficient method of ECG signal compression by using a DCT-IV spectrum

Shin Chi Lai, Chien Sheng Lan, Sheau Fang Lei

Research output: Contribution to conferencePaperpeer-review

3 Citations (Scopus)

Abstract

In this paper, we propose an efficient electrocardiogram (ECG) compression algorithm with the advantages of high-accuracy and high-compressing-ratio. The ECG signal sources are employed by the MIT-BIH arrhythmia database with a sampling rate of 360 Hz, and then we transform these ECG signals from time domain into frequency domain by using 64-point the type IV of Discrete Cosine Transform (DCT-IV), which is difference to the traditional DCT-II method. In addition, a differential value coding and a Huffman coding are both employed in the proposed algorithm. Compared with Lee et al.'s algorithm, the simulation results clearly show that the proposed method has a greater performance in terms of Compressing Ratio (CR), Percent Root-mean-square Difference (PRD), Signal to Noise Ratio (SNR), and Quality Score (QS). Especially, the QS value of the proposed algorithm has an outstanding improvement by increasing 23.8%.

Original languageEnglish
Pages46-49
Number of pages4
DOIs
Publication statusPublished - 2013 Jan 1
Event2013 International Conference on Communications, Circuits and Systems, ICCCAS 2013 - Chengdu, China
Duration: 2013 Nov 152013 Nov 17

Other

Other2013 International Conference on Communications, Circuits and Systems, ICCCAS 2013
CountryChina
CityChengdu
Period13-11-1513-11-17

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture

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