Noise reduction algorithm in ECG signals using wavelet transform

IEEEProceedings of the 1998 2nd International Conference on Biomedical Engineering Days -- 20 May 1998 through 22 May 1998 -- Istanbul, Turkey -- 49112A noise reduction algorithm based on multi-resolution orthogonal wavelet transform in ECG signals is discussed. The results are presented for different analysis and synthesis filter coefficients proposed by Vetterli-Herley and Daubechies for two different noise characteristics. The first one is artificially obtained line interference sinusoidal noise and the second one is uniformly distributed random noise or white noise. The results show that the former noise is completely eliminated from the signal by using both of the filter coefficients. However, the latter noise did not give the same performance as that of the former one

Simulation of normal cardiovascular system and severe aortic stenosis using equivalent electronic model

Objective: In this study, we have designed an analog circuit model of the cardiovascular system that is able to simulate normal condition and cardiovascular diseases, such as mitral stenosis, aortic stenosis, and hypertension. Especially we focused on severe aortic stenosis, because it is one of the causes of sudden death in asymptomatic patients. In this study, we aim to investigate the simulation of the cardiovascular system using an electronic circuit model under normal and especially severe aortic valve stenosis conditions

Simulation of Eisenmenger syndrome with ventricular septal defect using equivalent electronic system

Background: In this study, we aim to investigate the simulation of the cardiovascular system using an electronic circuit model under normal and pathological conditions, especially the Eisenmenger syndrome. Methods and Results: The Eisenmenger syndrome includes a congenital communication between the systemic and pulmonary circulation, with resultant pulmonary arterial hypertension and right-to-left reversal of flow through the defect. When pulmonary vascular resistance exceeds systemic vascular resistance, it results in hypoxaemia and cyanosis. The Westkessel model including Resistor-Inductance-Capacitance pi-segments was chosen in order to simulate both systemic and pulmonary circulation. The left and right heart are represented by trapezoidal shape stiffness for better simulation results. The Eisenmenger syndrome is simulated using a resistance (septal resistance) connected between the left ventricle and right ventricle points of the model. Matlab (R) is used for the model implementation. In this model, although there is a remarkable increase in the pulmonary artery pressure and right ventricle pressure, left ventricle pressure, aortic pressure, aortic flow, and pulmonary compliance decrease in the Eisenmenger syndrome. In addition, left-to-right septal flow reversed in these diseases. Conclusion: Our model is effective and available for simulating normal cardiac conditions and cardiovascular diseases, especially the Eisenmenger syndrome