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Atrial fibrillation is caused by some excited cardiac myocardium re-stimulated by the recurrent impulse that made the left atrium contraction irregularly. The changes of cardiac patterns could be recorded by the CT scan of the multi-slices and multi-frame technology. The abnormal rhythmic wall motion can be analyzed between the systolic of atrium and diastolic of atrium. This study has developed a...
The function of left atrium can be accurately estimated non-invasively using 4D CT cardiac images. A self-developed image analysis program will first reconstruct 3D volume of heart. Then, one may re-sample images for accurately deleting the 4 pulmonary veins from the atrium and set the boundary. With the prior processed information, the active contour methodology and seed regional growth methodology...
A novel methodology that uses spatial independent component analysis (SICA) to study atria fibrillation (AF) was proposed. Component patterns and their associated time course were extracted from Laplacian potential maps using SICA. Simulation test patterns and potential maps were generated and used to demonstrate the feasibility of the proposed method. It was found that, the time courses that are...
A self-developed program that analyzed the load- independent LV pressure-volume (P-V) data from acute myocardial infarcted (AMI) patients to examine the process of chamber remodeling was reported. The extracted pressure-volume relationship at first week was compared to the 12 week data after PTCA procedure. The analysis program extracted static and dynamic parameters from ventricular pressure and...
Angiostrongylus cantonensis causes a form of parasitic meningitis in humans. Albendazole kills the nematode larvae staying in the brain. However, the dead larvae are capable of evoking a severe inflammatory response resulting in the brain damage. Matrix metalloproteinase 9 (MMP-9) is associated with the development of meningitis and with the immune inflammatory reaction. Presently, we studied the...
Both independent component analysis (ICA) and principal component analysis (PCA) were used in this study to evaluate their effects in data reduction in the hand motion identification using surface electromyogram (SEMG) and stationary wavelet transformation. The results indicate that both methods increase the number of training epochs of the artificial neural network. The unsupervised fast ICA reduces...
The authors used the impedance cardiogram (ICG), the phonocardiogram (PCG), and the electrocardiogram (ECG) to determine stroke volume and systolic time intervals. Comparisons between a fully automated PC/AT-based signal processing system and a computer-assisted visual detection processing system revealed comparable means, standard errors, correlations (Spearman r), and reliability (Chronbach's alpha...
Different techniques have been developed for parameter extraction and segmentation of the impedance cardiogram for improved reliability and precision of beat-to-beat determination of systolic time intervals, stroke volume, and related cardiac indices. The solutions presented improve on previous techniques by: (1) substantially reducing jitter in the localization of events within the cardiac cycle;...
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