Browsing by Author "Ashrafullah, MD."

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    Developing a GUI using MATLAB in Detecting Brain Stroke from Ultrasonic Data.
    (East West University, 7/27/2017) Ashrafullah, MD.; Sultana, Nasrin
    Brain is the main part of our body and brain stroke is severe in this day. In this research, we have implemented a method and design a graphical user interface (GUI) using MATLAB in detecting brain stroke from ultrasonic data. The ultrasonic data is chosen as it is not harmful as Magnetic Resonance Imaging (MRI). As it is known to us that carotid artery is the main path to flow the blood from heart to brain in our body. So the shrink of the wall of carotid artery through fat, cholesterol etc. is cause to change the normal level of ultrasonic velocity. In determining brain stroke through ultrasound knowledge, it is compulsory to acquire Doppler ultrasonic data from carotid artery. First, the ultrasonic displacement data obtained from the carotid artery is converted to velocity, and then the velocity data of several patients is loaded in the GUI which is developed through MATLAB. The loaded data will be accumulated in a folder. The standard velocity for the normal, abnormal and serious patients is then compared with the obtained patient ultrasonic velocity data through the GUI designed for this research. From the comparison it is possible to determine the patient’s condition whether he/she has the probability of brain stroke or not. The results show better than other methods and it is less harmful for the body.