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Cardiac syndrome X (CSX) is a clinical condition characterized by angina, positive stress test and negative coronary angiography. Myocardial ischemia is suggested to influence the typical ischemic changes in the electrocardiogram (ECG) observed during stress test. The aim of this study is to obtain CSX patterns of the vectorcardiographic (VCG) loops in the horizontal (H), frontal (F) and right sagittal...
Though modern ECG machine with digital-out has been applied for years, paper recordings are still chosen by medical organizations especially in China. But the recording paper is easily broken. These ECG data were necessarily to be extracted and keep the valuable ECG information as digital type for clinical information sharing, online diagnosing and ECG database establishing. A method based on K-means...
A real-time high-resolution ECG (HRECG) system was developed to study ventricular late potentials (VLP). In the denoising method, the SFP alignment technique was embedded in a pre-processing micro-controller to support the signal averaging process. This system is intended for screening subjects at cardiac risk in the out-of-hospital environment. It uses the fractal dimension of VLP (LPδ) as the diagnostic...
The objective of the paper is to report a development of real-time and parallel processing algorithm to implement it into a Field Programmable Gate Array (FPGA) for the electrocardiogram (ECG) signals feature extraction. The prototyped system will be extracting the ECG features and tested as a System on Chip (Soc) design. The performance of algorithm was tested against MATLAB routine and validated...
A method to construct a predictive time series index based on QTc-intervals is proposed in this paper. Monitored electrocardiography (ECG) data is converted into a root mean square of successive difference (RMSSD) trend-line by first finding the QT intervals [1] and then using [2]. The trend-line is then used as a priori in extrapolating the predictive trend. The next unknown RMSSD is extrapolated...
The diagnosis of heart disease in most cases depends on a complex combination of clinical and pathological data. Because of this complexity, there exists a significant amount of interest among clinical professionals and researchers regarding the efficient and accurate prediction of heart disease. In this paper, we develop a heart disease predict system that can assist medical professionals in predicting...
Detection of Ventricular fibrillation (VF) in automated external defibrillators (AED) is tested following the recommendations of the American Heart Association (AHA). However, nonshockable out-of-hospital cardiac arrest (OHCA) rhythms may be very different from those covered in the AHA recommendations. In this study we compare the performance of four VF detection parameters for a testing database...
In this study, we examine whether it is reliable to use all successive shocks from one patient for the development of an outcome predictor model to discriminate “Success” versus “No success”. Vector of predictors v are extracted from time and non-linear dynamics domains and a Gaussian Mixture Model-based bayesian classifier, with probability density estimated by the Expectation-Maximization algorithm,...
Microsimulation can be used to predict the prognosis of an individual patient based on a virtual patient population of copies of that patient. In this study we compare the outcomes of an existing validated microsimulation program that is designed to study valvular heart disease and a newly developed microsimulation program that is designed to study heart diseases in general. We studied in depth the...
The irregularity in the ECG heartbeats durations and application of two dimensional ECG compression algorithms has undoubtedly been a challenge in this field. In this paper, an efficient alternative solution for ECG period normalization is proposed. Each ECG heartbeat is transformed into the SVD domain formed from the LPC filter impulse response matrix, where only a few components contain most of...
It is possible, using a smart phone or similar device, to collect ECGs from patients in remote locations, storing the results to be analyzed later. In this situation, however, the person collecting the ECG may not have the time or the necessary training to evaluate the quality of the recording at the time it is collected. It is useful for the device itself to analyze the recorded signals and provide...
In order to assist diagnosis and surgical repair of congenital mitral disease, quantitative analysis of 3D geometry of the mitral complex is necessary for better understanding mechanism and dysfunction of the mitral complex. This work aims to extract geometric parameters of mitral complex and utilize Support Vector Machines (SVM) based classifier to support diagnosis of congenital mitral regurgitation...
Heart Rate Turbulence (HRT) is a powerful risk stratification criterion in patients with cardiac disorders. Several physiological factors affect HRT, e.g., previous cardiac cycle (CC), coupling interval (CI), and compensatory pause (CP). However, classical HRT measurements often use an average of the available individual tachograms that might blur relevant physiological relationships. We hypothesized...
The ability of multidetector computed tomography (MDCT) to detect stress-induced myocardial perfusion abnormalities is of great clinical interest as a potential tool for the combined evaluation of coronary stenosis and its significance. However, stress testing requires repeated scanning, which is associated with additional radiation exposure and iodine contrast. Our goal was to determine the effects...
This study aimed to investigate the clinical value of DSCT in the preoperational assessment of the cardiovascular malformation in patients with the complex congenital heart disease of diminished pulmonary blood flow in China. 130 patients' scheduled for operation because of suspected or definited complex congenital heart disease with diminished pulmonary blood flow were examined by DSCT and echo cardiography...
In this paper, an automatic coronary tree labeling algorithm is developed for labeling the extracted branches with their anatomical names for CCTA datasets. A two-step matching algorithm is implemented by means of a statistical coronary tree model. The main branches are first identified in a registration step. Then all the segments including proximal, middle and distal parts of the main branches and...
Mental stress is one of the well known major risk factors for many diseases such as hypertension, coronary artery disease, heart attack, etc. Conventionally, detecting mental stress in an individual is performed by interviews and/or questionnaires. In this study, we have investigated various heart rate variability (HRV) measures for detecting mental stress by using ultra short term HRV analysis. A...
The tilt test is a valuable clinical tool for the diagnosis of Vasovagal Syncope. No practical system has been implemented to predict the tilt test outcome at the beginning in the procedure. Our objective was to evaluate and benchmark, over a sufficient database, the predictive performance of the proposed parameters in the literature. We analyzed a database of 727 consecutive cases of tilt test. Previously...
Cardiac tissue exhibits transmural heterogeneous electromechanical characteristics which are responsible for normal activation, repolarization, contraction and relaxation in healthy hearts. Under abnormal conditions such as myocardial ischemia (MI), the original heterogeneity will be disrupted and may cause the heart out of function. In this paper, a transmural heterogeneous cellular electromechanics...
Elevated QT interval variability (QTV) has been associated with increased cardiac mortality, but the underlying mechanisms are incompletely understood. Sympathetic activity is thought to be a main contributor to QTV. The aim of this study was to investigate the relation between cardiac sympathetic integrity and QTV in 15 patients with type 2 diabetes mellitus and varying degrees of cardiac autonomic...
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