A spiral meandered antenna is designed, simulated and presented in this research paper. After a keen literature survey it has found that the operating range for the biomedical application is 0.4 to 1.5GHz. In this range 0.402 to 0.405GHz is fixed for the medical implant and 1 to 1.5GHz is the range for breast cancer treatment. Hyperthermia is a major technique to cure breast cancer; it is used to enhance the temperature of cancerous cell with the help of microstrip antennas. Meandered antenna is small in size and having a better return loss than other comparative microstrip antennas.
Read more
Placement is a step considered after floor planning in FPGA flow in ASIC. It defines the location of logic cells within functional blocks and to minimize the routing length. We adjust the logic cells in this way so that minimum interconnect length, area and density are used. In this paper we will discuss some of methods of placement of logic cells.
Read more
The main objective of the paper is to characterize the concept of intra-body communication that allows electric signal to flow through human body. Various experiments are performed in order to verify how it is influenced under different conditions. The methodology used for this purpose is galvanic coupling method. The model is been implemented on ARM processor to measure heart rate and temperature of the human body. Measurements are carried out analyzing various IBC parameters such as size of electrodes, distance between transmitter and receiver, different environment and grounding. Practical conclusions are obtained thus analyzing the IBC performance. The system gives better performance as the data is transmitted in the form of packets. This provides secure and enhanced communication as compared to the existing systems.
Read more
Detection of brain tumour is very important current scenario of the health care society. Image processing techniques are used to extract the abnormal tumour portion and other features in the brain. Brain tumor is an abnormal mass of lesson in which cells grow up and multiply uncontrollably, apparently unregulated by the mechanisms that control cells. Several techniques like Segmentation, morphological have been developed for detection of tumor in the brain. Texture is a critical feature of several image types and textural features have a lot of application in image processing, content-based image retrieval and so on. There are several ways of extracting these features and the most common way is by using a gray-level co-occurrence matrix (GLCM). In our proposed work Texture characterisation has been made to obtain the Haralick features and SVM classifier is used in the Texture classification algorithm which used in detecting the brain tumor. This technique has been tested for 45 images, true positives are 33, True negative is 1, false positive is 1, and True negatives are 10. Sensitivity 97.0%, Specificity 90.9%, Precision or Positive Predictive Value (PPV) 97.0%,Negative Predictive Value (NPV)90.9%, Accuracy 95.0%.
Read more