Title :
Beat-to-beat spatial and temporal analysis for QRS-T morphology
Author :
Hasan, M. Anwar ; Abbott, Derek ; Baumert, Mathias
Author_Institution :
Sch. of Electr. & Electron. Eng., Univ. of Adelaide, Adelaide, SA, Australia
fDate :
Aug. 28 2012-Sept. 1 2012
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 :
bioelectric phenomena; diseases; electrical conductivity; electrocardiography; medical signal processing; signal reconstruction; singular value decomposition; spatiotemporal phenomena; MI patients; MLL; QRS complex; QRS-T morphology; T loop morphology; T-wave morphology; beat-to-beat spatial analysis; beat-to-beat spatiotemporal DV; beat-to-beat spatiotemporal point-to-point distance variability; beat-to-beat variations; conduction characteristics; mean loop length; myocardial infarction patients; reconstructed vector ECG; repolarization characteristics; short-term 12-lead ECG recordings; singular value decomposition; spatial QRS; spatial variations; temporal QRS; temporal analysis; temporal variations; Electrocardiography; Heart; Morphology; Physiology; Standards; USA Councils; Vectors; Algorithms; Diagnosis, Computer-Assisted; Female; Heart Rate; Humans; Male; Middle Aged; Myocardial Infarction; Reproducibility of Results; Sensitivity and Specificity; Vectorcardiography;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
DOI :
10.1109/EMBC.2012.6346891