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Wavelet-Based Quality-Constrained ECG Data Compression System Without Decoding Process.

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Title: Wavelet-Based Quality-Constrained ECG Data Compression System Without Decoding Process.
Authors: Hsieh, Jui-Hung, Hung, King-Chu, Liu, Je-Hung, Wu, Tsung-Ching
Source: IEEE MultiMedia; Apr-Jun2020, Vol. 27 Issue 2, p33-45, 13p
Subject Terms: DATA compression, DISCRETE wavelet transforms, ELECTROCARDIOGRAPHY, QUALITY control
Abstract: Retaining the reconstruction quality of electrocardiogram (ECG) data compression is crucial for diagnosis demands. However, traditional wavelet-based approaches suffer from complicated distortion control. The most fundamental way to overcome this difficulty is to avoid the use of the time-domain distortion measure that requires the complete decoding process. In this article, based on the reversible roundoff nonrecursive discrete periodized wavelet transform reversible round-off non-recursive discrete periodized wavelet transform (RRO-NRDPWT), a new transform-domain index is presented. This index accumulates the roundoff error of the RRO-NRDPWT and the quantization error as the distortion measure. The index referred to as the simplified percentage root-mean-square difference (SPRD) can completely replace the PRD for the case of ${\mathbf{PRD}} \geq 2{\mathrm{\% }}$PRD≥2%, where $\boldsymbol{SPRD}/\boldsymbol{PRD} \approx 1$SPRD/PRD≈1. By using the ECG signals in the MIT-BIH arrhythmia database, the simulation results show that for target PRD (${\mathbf{PR}}{{\mathbf{D}}_{\mathbf T}}$PRDT) equals to $3{\mathrm{\% }} \pm 0.05$3%±0.05, the SPRD can save 99.34% quantization process time compared with the traditional quality control scheme. [ABSTRACT FROM AUTHOR]
Copyright of IEEE MultiMedia is the property of IEEE 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.)
Database: Complementary Index
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  Data: Wavelet-Based Quality-Constrained ECG Data Compression System Without Decoding Process.
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  Data: <searchLink fieldCode="AR" term="%22Hsieh%2C+Jui-Hung%22">Hsieh, Jui-Hung</searchLink><br /><searchLink fieldCode="AR" term="%22Hung%2C+King-Chu%22">Hung, King-Chu</searchLink><br /><searchLink fieldCode="AR" term="%22Liu%2C+Je-Hung%22">Liu, Je-Hung</searchLink><br /><searchLink fieldCode="AR" term="%22Wu%2C+Tsung-Ching%22">Wu, Tsung-Ching</searchLink>
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  Data: IEEE MultiMedia; Apr-Jun2020, Vol. 27 Issue 2, p33-45, 13p
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  Data: <searchLink fieldCode="DE" term="%22DATA+compression%22">DATA compression</searchLink><br /><searchLink fieldCode="DE" term="%22DISCRETE+wavelet+transforms%22">DISCRETE wavelet transforms</searchLink><br /><searchLink fieldCode="DE" term="%22ELECTROCARDIOGRAPHY%22">ELECTROCARDIOGRAPHY</searchLink><br /><searchLink fieldCode="DE" term="%22QUALITY+control%22">QUALITY control</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Retaining the reconstruction quality of electrocardiogram (ECG) data compression is crucial for diagnosis demands. However, traditional wavelet-based approaches suffer from complicated distortion control. The most fundamental way to overcome this difficulty is to avoid the use of the time-domain distortion measure that requires the complete decoding process. In this article, based on the reversible roundoff nonrecursive discrete periodized wavelet transform reversible round-off non-recursive discrete periodized wavelet transform (RRO-NRDPWT), a new transform-domain index is presented. This index accumulates the roundoff error of the RRO-NRDPWT and the quantization error as the distortion measure. The index referred to as the simplified percentage root-mean-square difference (SPRD) can completely replace the PRD for the case of ${\mathbf{PRD}} \geq 2{\mathrm{\% }}$PRD≥2%, where $\boldsymbol{SPRD}/\boldsymbol{PRD} \approx 1$SPRD/PRD≈1. By using the ECG signals in the MIT-BIH arrhythmia database, the simulation results show that for target PRD (${\mathbf{PR}}{{\mathbf{D}}_{\mathbf T}}$PRDT) equals to $3{\mathrm{\% }} \pm 0.05$3%±0.05, the SPRD can save 99.34% quantization process time compared with the traditional quality control scheme. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of IEEE MultiMedia is the property of IEEE 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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        Value: 10.1109/MMUL.2020.2983690
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        Text: English
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        Type: general
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      – SubjectFull: ELECTROCARDIOGRAPHY
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      – SubjectFull: QUALITY control
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      – TitleFull: Wavelet-Based Quality-Constrained ECG Data Compression System Without Decoding Process.
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              M: 04
              Text: Apr-Jun2020
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              Y: 2020
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