Optimization of Discrete Anamorphic Stretch Transform and Phase Recovery for ECG Signal Compression.

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Title: Optimization of Discrete Anamorphic Stretch Transform and Phase Recovery for ECG Signal Compression.
Authors: Thilagavathy, R.1 (AUTHOR) thilagavathy@nitt.edu, Venkataramani, B.1 (AUTHOR) bvenki@nitt.edu
Source: IETE Journal of Research. Oct2023, Vol. 69 Issue 10, p7106-7120. 15p.
Subjects: Image compression, Run-length encoding, Discrete wavelet transforms, Data compression, Electrocardiography, Root-mean-squares
Abstract: An ECG signal compression scheme using both Discrete Anamorphic Stretch Transform (DAST) and Discrete wavelet transform (DWT) is reported in the literature. In this scheme, a linear filter is used for the recovery of the phase of the DAST for the computation of inverse DAST. However, at a higher compression ratio, the phase recovered and the reconstructed signal became increasingly inaccurate. To overcome this problem, a phase recovery technique that uses only an adder with fixed offset is proposed in this paper. A scheme for optimizing the DAST kernels to increase the compression ratio is also proposed. To evaluate their effectiveness, the ECG signals of the MIT-BIH Arrhythmia database are compressed using 6 level 1D DWT and run-length encoding with and without DAST pre-compressor and their performances are compared. The phase of DAST of the ECG signals recovered using both linear filter and adder are computed and compared for different kernels. The proposed phase recovery scheme with the optimized sublinear and linear kernels provides a 12.2% and 10.91% increase in data compression ratio and 24.63% and 28.73% decrease in percentage root mean square difference (PRD) with 99.9% of energy packing efficiency (EPE) compared to the scheme using the filter. The compression scheme using DAST provides a 2.81 times higher compression ratio compared to that without DAST. The proposed compression scheme yields a higher Compression Ratio and lower PRD than those reported in the literature. It can be used as pre-compressor for the real time transmission of ECG signal with lower bandwidth. [ABSTRACT FROM AUTHOR]
Copyright of IETE Journal of Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Optimization of Discrete Anamorphic Stretch Transform and Phase Recovery for ECG Signal Compression.
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  Data: <searchLink fieldCode="AR" term="%22Thilagavathy%2C+R%2E%22">Thilagavathy, R.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> thilagavathy@nitt.edu</i><br /><searchLink fieldCode="AR" term="%22Venkataramani%2C+B%2E%22">Venkataramani, B.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> bvenki@nitt.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22IETE+Journal+of+Research%22">IETE Journal of Research</searchLink>. Oct2023, Vol. 69 Issue 10, p7106-7120. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Image+compression%22">Image compression</searchLink><br /><searchLink fieldCode="DE" term="%22Run-length+encoding%22">Run-length encoding</searchLink><br /><searchLink fieldCode="DE" term="%22Discrete+wavelet+transforms%22">Discrete wavelet transforms</searchLink><br /><searchLink fieldCode="DE" term="%22Data+compression%22">Data compression</searchLink><br /><searchLink fieldCode="DE" term="%22Electrocardiography%22">Electrocardiography</searchLink><br /><searchLink fieldCode="DE" term="%22Root-mean-squares%22">Root-mean-squares</searchLink>
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  Label: Abstract
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  Data: An ECG signal compression scheme using both Discrete Anamorphic Stretch Transform (DAST) and Discrete wavelet transform (DWT) is reported in the literature. In this scheme, a linear filter is used for the recovery of the phase of the DAST for the computation of inverse DAST. However, at a higher compression ratio, the phase recovered and the reconstructed signal became increasingly inaccurate. To overcome this problem, a phase recovery technique that uses only an adder with fixed offset is proposed in this paper. A scheme for optimizing the DAST kernels to increase the compression ratio is also proposed. To evaluate their effectiveness, the ECG signals of the MIT-BIH Arrhythmia database are compressed using 6 level 1D DWT and run-length encoding with and without DAST pre-compressor and their performances are compared. The phase of DAST of the ECG signals recovered using both linear filter and adder are computed and compared for different kernels. The proposed phase recovery scheme with the optimized sublinear and linear kernels provides a 12.2% and 10.91% increase in data compression ratio and 24.63% and 28.73% decrease in percentage root mean square difference (PRD) with 99.9% of energy packing efficiency (EPE) compared to the scheme using the filter. The compression scheme using DAST provides a 2.81 times higher compression ratio compared to that without DAST. The proposed compression scheme yields a higher Compression Ratio and lower PRD than those reported in the literature. It can be used as pre-compressor for the real time transmission of ECG signal with lower bandwidth. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of IETE Journal of Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1080/03772063.2021.2012281
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      – Code: eng
        Text: English
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      – SubjectFull: Run-length encoding
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      – SubjectFull: Discrete wavelet transforms
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      – SubjectFull: Data compression
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      – SubjectFull: Electrocardiography
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      – SubjectFull: Root-mean-squares
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      – TitleFull: Optimization of Discrete Anamorphic Stretch Transform and Phase Recovery for ECG Signal Compression.
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              M: 10
              Text: Oct2023
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