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

Shin Chi Lai; Chien Sheng Lan; Sheau Fang Lei

doi:10.1109/ICCCAS.2013.6765183

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

Shin Chi Lai, Chien Sheng Lan, Sheau Fang Lei

Department of Electrical Engineering

Research output: Contribution to conference › Paper › peer-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 language	English
Pages	46-49
Number of pages	4
DOIs	https://doi.org/10.1109/ICCCAS.2013.6765183
Publication status	Published - 2013 Jan 1
Event	2013 International Conference on Communications, Circuits and Systems, ICCCAS 2013 - Chengdu, China Duration: 2013 Nov 15 → 2013 Nov 17

Other

Other	2013 International Conference on Communications, Circuits and Systems, ICCCAS 2013
Country/Territory	China
City	Chengdu
Period	13-11-15 → 13-11-17

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Hardware and Architecture

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10.1109/ICCCAS.2013.6765183

Cite this

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title = "An efficient method of ECG signal compression by using a DCT-IV spectrum",

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%.",

author = "Lai, {Shin Chi} and Lan, {Chien Sheng} and Lei, {Sheau Fang}",

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AU - Lan, Chien Sheng

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N2 - 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%.

AB - 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%.

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

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