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The respiratory system dynamic is of high significance when it comes to the detection of lung abnormalities, which highlights the importance of presenting a reliable model for it. In this paper, we introduce a novel dynamic modelling method for the characterization of the lung sounds (LS), based on the attractor recurrent neural network (ARNN). The ARNN structure allows the development of an effective...
In the last decade, Electrical Impedance Tomography (EIT) became an attractive issue leading to increased demand for various studies to be conducted in the field. In EIT, recorded voltages from different directions of test objects are captured and resistivity images are constructed. The recorded signals are affected by a number of noise sources coming from the surroundings of the laboratory, which...
A new method for simulation of Blood Flow signal containing embolus is introduced. This method relies on acoustic field calculations. Other researchers such as Jensen proposed an approach for flow data generation which shots of scatterers at different times were taken and did not take the Doppler effect into account. This method is based on Rayleigh integral and spatial impulse response. According...
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