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https://hdl.handle.net/2440/73856
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Type: | Conference paper |
Title: | Beat-to-beat spatial and temporal analysis for QRS-T morphology |
Author: | Hasan, M. Abbott, D. Baumert, M. |
Citation: | Engineering Innovation in Global Health: Proceedings of the 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, held in San Diego, August 28-September 1, 2012: pp. 4193-4195 |
Publisher: | IEEE |
Publisher Place: | CD |
Issue Date: | 2012 |
Series/Report no.: | IEEE Engineering in Medicine and Biology Society Conference Proceedings |
ISBN: | 1457717875 9781424441198 |
ISSN: | 1557-170X 2694-0604 |
Conference Name: | Annual International Conference of the IEEE Engineering in Medicine and Biology Society (34th : 2012 : San Diego) |
Statement of Responsibility: | Muhammad Asraful Hasan, Derek Abbott and Mathias Baumert |
Abstract: | The aim of this study was to investigate beat-to-beat variations of spatial and temporal QRS and T loop morphology for identifying myocardial infarction (MI) patients. We investigated short-term 12-lead ECG recordings of 84 MI patients (22 female, mean age 63 ± 12 years and 62 male, mean age 56 ± 10 years) and 69 healthy control subjects (17 female, mean age 42 ± 18 years and 52 male, mean age 40 ± 13 years). To quantify spatial and temporal variations in QRS complex and T-wave morphology, we defined two descriptor parameters: point-to-point distance variability (DV) and mean loop length (MLL). These parameters were extracted from the reconstructed vector ECG, using singular value decomposition. The results showed that the beat-to-beat spatiotemporal point-to-point distance variability for QRS and T loops (DVQRS; 0.13±0.04 vs. 0.10±0.04, p < 0.0001 and DVT; 0.16±0.07 vs. 0.13±0.06, p < 0.05), were significantly higher in MI subjects compared to control subjects. In addition, the mean loop length of QRS and T loops were significantly higher in control subjects than MI (p < 0.001), respectively. In conclusion, the beat-to-beat spatiotemporal DV and MLL may be useful for characterizing conduction and repolarization characteristics in patients with MI. |
Keywords: | Nonlinear dynamics in biomedical signals biomedical simulation involving signal processing |
Rights: | Copyright © 2012 IEEE Engineering in Medicine and Biology Society. All rights reserved. |
DOI: | 10.1109/EMBC.2012.6346891 |
Description (link): | http://embs.papercept.net/conferences/conferences/EMBC12/program/EMBC12_ContentListWeb_3.html |
Published version: | http://dx.doi.org/10.1109/embc.2012.6346891 |
Appears in Collections: | Aurora harvest 4 Electrical and Electronic Engineering publications |
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