The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper we explore the applications of artificial neural networks in the field of heart surgery, more specifically in the prognostic evaluation of post-surgery complications, such as death, reintubation, prolonged mechanical ventilation and the need for extracorporeal circulation in patients who underwent coronary artery bypass graft surgery. Predictive variables were limited to information...
New techniques to enable the prediction of a reliable brain death index (BDI) measures are needed to improve patient care in the intensive care unit (ICU). The utilization of robust indicators combined with improved methods of data analysis and modeling is likely to deliver this facility. Like many forms of indicators, a combination of different measurement types can always improve the assessment...
This paper proposes electrocardiographic mismatch (ECGM) to quantify differences in the long-term ECG signals for two patients. ECGM compares the symbolic distributions of ECG signals and measures how different patients are electrocardiographically. Using ECGM, we propose a hierarchical clustering scheme that can identify patients in a population with anomalous ECG characteristics. When applied to...
T-wave alternans (TWA) is widely understood as an important indicator and a predictor of risk of sudden cardiac death (SCD). This research provides an improved spectral method of detecting and quantifying T-Wave alternans. Basically, the algorithm used enhanced TWA spectrum and T-Slope variations to generate two parameters: enhanced alternans ratio (EAR) and range index (RI). Then, the singular value...
The 9th annual PhysioNet/Computers in Cardiology challenge invited participants to measure T-wave alternans (TWA) in a set of 100 two-minute electrocardiograms that included subjects with a variety of risk factors for sudden cardiac death (including ventricular tachyarrhythmias, transient myocardial ischemia, and acute myocardial infarctions), healthy controls, and synthetic ECGs with calibrated amounts...
The influence of T-wave alternans (TWA) on vectocardiographic parameters has been presented. Alternations in the length and the angle of T-wave loop vector have been found between odd and even beats in electrocardiograms with detectable T-wave alternans. The study shows the significance of changes of T-wave loop vector length and angle in the process of shaping Twave alternans signal. The aim of the...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.