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Approximate entropy (ApEn) is widely accepted as a complexity measure of the heart rate variability (HRV) signal, but selecting the criteria for the threshold value r is controversial. This paper aims to verify whether Chon's method of forecasting the r(max) is an appropriate one for the HRV signal. The standard limb lead ECG signals of 120 subjects were(More)
Premature ventricular contraction (PVC) may lead to life-threatening cardiac conditions. Real-time automated PVC recognition approaches provide clinicians the useful tools for timely diagnosis if dangerous conditions surface in their patients. Based on the morphological differences of the PVC beats in the ventricular depolar-ization phase (QRS complex) and(More)
Pattern synchronization (PS) can capture one aspect of the dynamic interactions between bivariate physiological systems. It can be tested by several entropy-based measures, e.g., cross sample entropy (X-SampEn), cross fuzzy entropy (X-FuzzyEn), multivariate multiscale entropy (MMSE), etc. A comprehensive comparison on their distinguishability is currently(More)
BACKGROUND Heart rate variability (HRV) has been widely used in the non-invasive evaluation of cardiovascular function. Recent studies have also attached great importance to the cardiac diastolic period variability (DPV) examination. Short-term variability measurement (e.g., 5 min) has drawn increasing attention in clinical practice, since it is able to(More)
—Detection of the primary sound components in heart sound signal is the first step in automated diagnosis of cardiac abnormality. Although most existing heart sound detection algorithms perform well in normal signals, they usually have no effect on signals with heart murmurs. In this paper, an algorithm based on energy is proposed for robust detection of(More)
Coronary artery disease (CAD) is the most common cause of death globally. To detect CAD noninvasively at an early stage before clinical symptoms occur is still nowadays challenging. Analysis of the variation of heartbeat interval (RRI) opens a new avenue for evaluating the functional change of cardiovascular system which is accepted to occur at the(More)
This paper presents a method to automatically detect atrial fibrillation (AF) based on the scatter plot of R-R interval signal. R-R intervals of AF are absolutely irregular, which are different from those of normal ECG. Scatter plot of R-R interval signal is illustrated here and characteristic indexes are extracted from the plot, i.e. VAI, VLI, SD1, and(More)
In this paper, we report a membrane filter-based detection system of bacteria using streptavidin functionalized quantum dots (SA-QDs) as a fluorescent probe. The aimed E. coli cells were marked by quantum dots through immuno-recognition, and then the marked bacteria were enriched by a low-fluorescence optical aluminium oxide membrane. A portable system was(More)