Electrocardiogram (ECG) is useful clinical information containing the condition of heart. The features of variations in ECG signal with time-varying morphological characteristics needs to be extracted by signal processing method because these are not easily visible in the conventional graphical presents of ECG signal. Large variations of simulated normal and noise corrupted ECG signal have been...

In this project an ECG signal processing module will be implemented in VHDL on FPGA platform. The digital filtering will be carried out with low pass FIR architecture. Filters shall filter the 50 Hz coupled noise and other high frequency noises. The filtered signal is subjected to Short Time Fourier transform by which lot of inferences can be made by medical experts. A recorded ECG signal will ...

UNLABELLED The aim of the study was to register the prevalence of late potentials (LP) in patients with chronic Chagas' heart disease (CCD) and the relationship with sustained ventricular tachycardia (SVT). 192 patients (96 males), mean age 42.9 years, with CCD were studied through a Signal Averaged ECG using time domain analysis. According to presence or absence of bundle branch block (BBB) an...

BACKGROUND The P-wave signal-averaged electrocardiogram (SAECG) is a non-invasive technique considered to indicate an increased risk for paroxysmal atrial fibrillation. The study was designed to evaluate the effect of the haemodialysis (HD) process on SAECG parameters in the group of selected HD patients. METHODS Forty-seven HD patients (without relevant cardiac diseases) were included. SAECG...

Background. This study performed a critical analysis of signal-averaging methods. The objective was to optimize detection of late potentials. Methods and Results. We studied two patient populations: a low-arrhythmia-risk group with no evidence of heart disease and a group with clinically documented ventricular tachycardia (VT). Filtered QRS duration (QRSD) and terminal QRS amplitude (RMS40) wer...

Background. An abnormal signal-averaged ECG (SAECG) has predictive value for arrhythmic events in patients with coronary artery disease. The purpose of this study was to investigate whether an abnormal SAECG could provide prognostic information in patients with nonischemic dilated cardiomyopathy. Methods and Results. We prospectively obtained SAECGs in 114 patients with dilated nonischemic card...

ECG signal is one of the most popular diagnostic means which provides an electrical picture of the heart and information about different pathological conditions. These signals originate from the heart and pass through the tissues with different characteristics to reach up to the several recording leads placed on the skin of the subject. Because of the path deformities and external electrical di...

FECG (Fetal Electrocardiogram) is weak signal indirect monitored between the electrode that placed upon the mother abdominal the matrix surface, which contains all the forms of jamming signal. How to separate the Fetal from the strong background interference has important value of clinical application, but this is a difficult problem in the signal processing field. Independent Component Analysi...

The main focus of this paper is to design an advanced Electrocardiogram (ECG) signal monitoring and analysis design. Heart is an important part of the human body. Heart diseases are the important factor which cause of death in the world. An electrocardiogram is a device which graphically records the electrical activity of the heart. It is used to identify normal and abnormal heartbeats. Noise f...

The acquisition and the analysis of electrophysiological signals are often followed by the detection of parameters of clinical importance. In the case of fetal electrocardiogram signal, the presence of QRS complex is the best indicator of the fetal heart rate, as it is directly correlated with the fetal cardiac activity. However, to detect this complex, it is necessary to separate the signal fr...