Thesis in Biomedical Applications

Img

Biomedical Applications

Biomedical is field that connects engineering and the medicines. It is basically used for the advancement in the health care treatment, as it combines the design and problem solving skills of engineering with medical and biological sciences. This concept is manly used in the security system and for the biomedical treatment. As the modern security systems the biometric systems are present that can certify the authentication of a person. Authentication is a process in which the credentials provided are compared to the files present in data base and is checked and if the credentials match then the process is completed the user is granted the access. In medical science biomedical plays a vital role, with the help of this the detection of the diseases at the initial stages have become possible, so that the measures can be taken at soon as possible. Biomedical field has vast research areas for the researcher’s .As various researches can be made in designing of the biometric systems and the biomedical system. EESPL provide a wide ranges of the project based on biomedical applications



Biomedical Applications Techniques for Thesis Implementation

  • Disease is the condition that impairs normal functioning of the body, an infection that asymptomatic in its initial stage but shows its symptoms later, is called as disease. Because of disease human body become weak, and stop functioning properly. So to take any prevention of disease first step is the detection of disease. The disease should be detected in its initial stages so that they do not affect body later on. One such disease is Cancer, it is also known as malignant tumor it is result of the abnormal cell growth in the body .it is dreadful disease ,if not detected in the early stages can lead to death . The detection of this disease is important to avoid its consequences. After the detection of the disease next step is diagnosis. Diagnosis is the process in which the disease or condition is identified. . Diagnosis is quite challenging because the symptoms of disease are not visible at the initial stage. So as soon as the disease is detected, the measures to prevent the disease are taken.
  • ECG stands for electrocardiogram this is tool that is used to record even of the small electric waves being generated during heart activity., it is measured by keeping electrode plates on patient’s body , These electrodes detect the tiny electrical changes on the skin that arise from the heart muscle depolarizing during each heartbeat. Ten electrodes are used in 12 lead ECG. The main work of ECG signal is to analyze the QRS complex and estimation of the heart rate. It will record electrical and muscular function of the heart during a time interval. It is also known as EKG. So if you want to work on the ECG based projects, then EESPL is the right place for you.
  • The technique of creating visual representation of interior of the body for analysis is called medical imaging . Image segmentation is process of dividing a digital image into multiple parts called as set of pixels or super pixels. Image segmentation is done in order to make image easier to analyze and to present the image into more meaningful form than the original one. Boundaries and objects of the image are located by the Image segmentation. In this every pixel of the image is checked and the pixels that are having same label have certain common characteristic. In medical imaging segments are taken as different tissues classes, organs or some other structure .Due to low contrast, noise and other imaging ambiguities medical image segmentation has become difficult. There are various medical image segmentation techniques like Atlas-Based Segmentation, Shape-Based Segmentation Image-Based segmentation etc. As the amount of medical image data is growing. Medical image segmentation is used to compute computed tomography (CT), magnetic resonance imaging (MRI) and ultrasound.
  • Medical imaging is the process to obtain the visual representation of the interior of a body for analysis of disease or for simply medical intervention. Medical imaging has enormously increased its importance in the diagnosis and assessment of a wide range of pathologies. It is an efficient technique but it has some limitations like noise, low contrast etc. noise is present in the medical images such as magnetic resonance imaging (MRI), Ultrasound, positron emission tomography (PET), single photon emission computed tomography (SPECT), and fluorescence microscopy. Due to the presence of noise in the medical images, its reliability is reduced; also it is difficult to apply the robust method for segmentation process. So this noise is to be removed for increasing the visibility and significance of the image.
  • Optic Disk Localization