Performance Analysis of Multiscale Entropy for the Assessment of ECG Signal Quality
This study explored the performance of multiscale entropy (MSE) for the assessment of mobile ECG signal quality, aiming to provide a reasonable application guideline. Firstly, the MSE for the typical noises, that is, high frequency (HF) noise, low frequency (LF) noise, and power-line (PL) noise, was...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
|
| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2015/563915 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832555073098481664 |
|---|---|
| author | Yatao Zhang Shoushui Wei Yutao Long Chengyu Liu |
| author_facet | Yatao Zhang Shoushui Wei Yutao Long Chengyu Liu |
| author_sort | Yatao Zhang |
| collection | DOAJ |
| description | This study explored the performance of multiscale entropy (MSE) for the assessment of mobile ECG signal quality, aiming to provide a reasonable application guideline. Firstly, the MSE for the typical noises, that is, high frequency (HF) noise, low frequency (LF) noise, and power-line (PL) noise, was analyzed. The sensitivity of MSE to the signal to noise ratio (SNR) of the synthetic artificial ECG plus different noises was further investigated. The results showed that the MSE values could reflect content level of various noises contained in the ECG signals. For the synthetic ECG plus LF noise, the MSE was sensitive to SNR within higher range of scale factor. However, for the synthetic ECG plus HF noise, the MSE was sensitive to SNR within lower range of scale factor. Thus, a recommended scale factor range within 5 to 10 was given. Finally, the results were verified on the real ECG signals, which were derived from MIT-BIH Arrhythmia Database and Noise Stress Test Database. In all, MSE could effectively assess the noise level on the real ECG signals, and this study provided a valuable reference for applying MSE method to the practical signal quality assessment of mobile ECG. |
| format | Article |
| id | doaj-art-caaa2a603e074f9d91038a201de82119 |
| institution | Kabale University |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-caaa2a603e074f9d91038a201de821192025-02-03T05:49:46ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552015-01-01201510.1155/2015/563915563915Performance Analysis of Multiscale Entropy for the Assessment of ECG Signal QualityYatao Zhang0Shoushui Wei1Yutao Long2Chengyu Liu3School of Control Science and Engineering, Shandong University, Jinan 250061, ChinaSchool of Control Science and Engineering, Shandong University, Jinan 250061, ChinaSchool of Control Science and Engineering, Shandong University, Jinan 250061, ChinaSchool of Control Science and Engineering, Shandong University, Jinan 250061, ChinaThis study explored the performance of multiscale entropy (MSE) for the assessment of mobile ECG signal quality, aiming to provide a reasonable application guideline. Firstly, the MSE for the typical noises, that is, high frequency (HF) noise, low frequency (LF) noise, and power-line (PL) noise, was analyzed. The sensitivity of MSE to the signal to noise ratio (SNR) of the synthetic artificial ECG plus different noises was further investigated. The results showed that the MSE values could reflect content level of various noises contained in the ECG signals. For the synthetic ECG plus LF noise, the MSE was sensitive to SNR within higher range of scale factor. However, for the synthetic ECG plus HF noise, the MSE was sensitive to SNR within lower range of scale factor. Thus, a recommended scale factor range within 5 to 10 was given. Finally, the results were verified on the real ECG signals, which were derived from MIT-BIH Arrhythmia Database and Noise Stress Test Database. In all, MSE could effectively assess the noise level on the real ECG signals, and this study provided a valuable reference for applying MSE method to the practical signal quality assessment of mobile ECG.http://dx.doi.org/10.1155/2015/563915 |
| spellingShingle | Yatao Zhang Shoushui Wei Yutao Long Chengyu Liu Performance Analysis of Multiscale Entropy for the Assessment of ECG Signal Quality Journal of Electrical and Computer Engineering |
| title | Performance Analysis of Multiscale Entropy for the Assessment of ECG Signal Quality |
| title_full | Performance Analysis of Multiscale Entropy for the Assessment of ECG Signal Quality |
| title_fullStr | Performance Analysis of Multiscale Entropy for the Assessment of ECG Signal Quality |
| title_full_unstemmed | Performance Analysis of Multiscale Entropy for the Assessment of ECG Signal Quality |
| title_short | Performance Analysis of Multiscale Entropy for the Assessment of ECG Signal Quality |
| title_sort | performance analysis of multiscale entropy for the assessment of ecg signal quality |
| url | http://dx.doi.org/10.1155/2015/563915 |
| work_keys_str_mv | AT yataozhang performanceanalysisofmultiscaleentropyfortheassessmentofecgsignalquality AT shoushuiwei performanceanalysisofmultiscaleentropyfortheassessmentofecgsignalquality AT yutaolong performanceanalysisofmultiscaleentropyfortheassessmentofecgsignalquality AT chengyuliu performanceanalysisofmultiscaleentropyfortheassessmentofecgsignalquality |