Comparative analysis of methods for automatic detection and quantification of microvolt T-wave alternans
Saved in:
| Title: | Comparative analysis of methods for automatic detection and quantification of microvolt T-wave alternans |
|---|---|
| Authors: | Burattini, Laura1, Bini, Silvia1, Burattini, Roberto r.burattini@univpm.it |
| Source: | Medical Engineering & Physics. Dec2009, Vol. 31 Issue 10, p1290-1298. 9p. |
| Subjects: | Electrocardiography, Arrhythmia, Comparative studies, Laplacian operator, Fourier transforms, Coronary disease, Simulation methods & models, Patients |
| Abstract: | Abstract: Microvolt T-wave alternans (TWA), consisting of every-other-beat changes in ECG T-wave morphology, is an index of susceptibility to malignant ventricular arrhythmias, requiring automatic techniques to be identified. Five of these, namely, fast-Fourier-transform spectral method (FFTSM), complex-demodulation method (CDM), modified-moving-average method (MMAM), Laplacian-likelihood-ratio method (LLRM) and adaptive-match-filter method (AMFM), were applied here to simulated and sample clinical data. The aim was to compare individual methods ability to properly identify stationary and time-varying TWA, avoiding false-positive detections. The MMAM provided false-positive TWA when applied to simulated ECGs affected by amplitude variability, but TWA. Stationary TWA was properly quantified by the MMAM and, occasionally, underestimated by all other methods. The AMFM properly identified time-varying TWA. By contrast, the FFTSM detected not-stationary TWA as stationary, the MMAM introduced a time-delay in the estimated TWA-amplitude signal, while the CDM and LLRM were reliable only in the presence of slow-varying TWA. Altogether, the AMFM accomplished the best compromise between the needs to avoid false-positive TWA and to detect and characterize true-positive TWA. Results of our simulation approach were useful to explain different TWA levels measured by each competing methods applied to sample Holter ECGs from healthy subjects and coronary artery disease patients. [Copyright &y& Elsevier] |
| Copyright of Medical Engineering & Physics is the property of Elsevier B.V. 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: | Engineering Source |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 45421708 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Comparative analysis of methods for automatic detection and quantification of microvolt T-wave alternans – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Burattini%2C+Laura%22">Burattini, Laura</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Bini%2C+Silvia%22">Bini, Silvia</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Burattini%2C+Roberto%22">Burattini, Roberto</searchLink><i> r.burattini@univpm.it</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Medical+Engineering+%26+Physics%22">Medical Engineering & Physics</searchLink>. Dec2009, Vol. 31 Issue 10, p1290-1298. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Electrocardiography%22">Electrocardiography</searchLink><br /><searchLink fieldCode="DE" term="%22Arrhythmia%22">Arrhythmia</searchLink><br /><searchLink fieldCode="DE" term="%22Comparative+studies%22">Comparative studies</searchLink><br /><searchLink fieldCode="DE" term="%22Laplacian+operator%22">Laplacian operator</searchLink><br /><searchLink fieldCode="DE" term="%22Fourier+transforms%22">Fourier transforms</searchLink><br /><searchLink fieldCode="DE" term="%22Coronary+disease%22">Coronary disease</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink><br /><searchLink fieldCode="DE" term="%22Patients%22">Patients</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Abstract: Microvolt T-wave alternans (TWA), consisting of every-other-beat changes in ECG T-wave morphology, is an index of susceptibility to malignant ventricular arrhythmias, requiring automatic techniques to be identified. Five of these, namely, fast-Fourier-transform spectral method (FFTSM), complex-demodulation method (CDM), modified-moving-average method (MMAM), Laplacian-likelihood-ratio method (LLRM) and adaptive-match-filter method (AMFM), were applied here to simulated and sample clinical data. The aim was to compare individual methods ability to properly identify stationary and time-varying TWA, avoiding false-positive detections. The MMAM provided false-positive TWA when applied to simulated ECGs affected by amplitude variability, but TWA. Stationary TWA was properly quantified by the MMAM and, occasionally, underestimated by all other methods. The AMFM properly identified time-varying TWA. By contrast, the FFTSM detected not-stationary TWA as stationary, the MMAM introduced a time-delay in the estimated TWA-amplitude signal, while the CDM and LLRM were reliable only in the presence of slow-varying TWA. Altogether, the AMFM accomplished the best compromise between the needs to avoid false-positive TWA and to detect and characterize true-positive TWA. Results of our simulation approach were useful to explain different TWA levels measured by each competing methods applied to sample Holter ECGs from healthy subjects and coronary artery disease patients. [Copyright &y& Elsevier] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Medical Engineering & Physics is the property of Elsevier B.V. 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=45421708 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.medengphy.2009.08.009 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 1290 Subjects: – SubjectFull: Electrocardiography Type: general – SubjectFull: Arrhythmia Type: general – SubjectFull: Comparative studies Type: general – SubjectFull: Laplacian operator Type: general – SubjectFull: Fourier transforms Type: general – SubjectFull: Coronary disease Type: general – SubjectFull: Simulation methods & models Type: general – SubjectFull: Patients Type: general Titles: – TitleFull: Comparative analysis of methods for automatic detection and quantification of microvolt T-wave alternans Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Burattini, Laura – PersonEntity: Name: NameFull: Bini, Silvia – PersonEntity: Name: NameFull: Burattini, Roberto IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2009 Type: published Y: 2009 Identifiers: – Type: issn-print Value: 13504533 Numbering: – Type: volume Value: 31 – Type: issue Value: 10 Titles: – TitleFull: Medical Engineering & Physics Type: main |
| ResultId | 1 |
