and cure of preventable diseases. Using telemedicine, a doctor can identify an ailment in its early stage and suggest an action plan that may prevent the disease from fully manifesting itself. By preventing disease, the use of telemedicine decreases the strain on the economy by reducing costs to patients as well as tax payers. More importantly, preventing a disease raises the quality of life enjoyed by the individual. Due to the importance of such a system to the health of an individual, the system must be robust and dependable. The system may be used to monitor anyone including individuals in a senior care center to athletes on a football field to elementary school students. My investigation identifies the necessary components of a feasible and robust telemedicine system as well as analyzes its effects on the end-users (patients, doctors, emergency responders, insurance companies, etc.). The HealthPortal system comprises of biosensors, the PatientPortal software, a secure website, the PersonnelPortal software (for healthcare providers), and software for clinics, hospitals, insurance companies and health agencies. The goal is to integrate these roles through the software which will bring about improved communication and therefore improved outcomes in terms of both finances and wellbeing. Using Sparse Sensors for In-shoe Plantar Pressure Monitoring Sarah Ostadabbas, Mehrdad Nourani INTRODUCTION—The foot complications constitute a tremendous challenge for diabetic patients, caregivers, and the healthcare system. With current technology, in-shoe monitoring systems can be implemented to continuously monitor foot’s at-risk ulceration sites and send feedback to patients and physicians. AIMS AND METHODS— Several in-shoe monitoring systems, reported in literature, depend on pressure sensors placed precisely at the pressure points. There are three key shortcomings in this method: a) the pressure sensors have to be uniquely placed for each subject, b) small misplacement greatly affects accuracy, and c) there is no good way to estimate pressure on other points on the foot. In this work, we model the foot’s pressure distribution by using a method that depends on a small number of sensors, called Sparse sensing Continuous Plantar pressure Model (SCPM). This model uses a modified Gaussian Mixture Model (GMM) to reconstruct a continuous plantar pressure
Aims and Methods: A practically implementable structure and its quite encouraging detection results for breast cancer are shown in this study. The novelty of the proposed structure, as compared to its counterparts introduced in the literature resides in its interesting potential as a self-examine detector. The ultimate goal is that the patients use the device themselves with no need to any physical presence in a clinic. The device should be used periodically for routine checkups. It is designed to compare the current situation of the tissue with the built-in history of the previous measurements, and to detect the changes which may actually be due to a tumor creation even at its early stages. For our measurements, we used an ENA and the measured data was analyzed in MATLAB to generate the cumulative differences in phase and magnitude of the scattering parameters between normal and cancer tissues. The simulations were done in HFSS. Results and Conclusions: The preliminary simulation and experimental results of our novel radiator structure are promising. In the simulations, Ansoft digital human phantom was used in order to have a precise model of female body. The tool could detect the tumors in different shapes and sizes up to the depth of 4cm. For our preliminary experiments, we built two breast phantoms, one of which had a donated breast tumor inside it. The tumor was placed inside the glandular tissue at the depth of almost 4cm. It was shown that measuring the S parameters and calculating the cumulative differences, one can successfully identify the existence of an abnormality in the cancerous phantom. Online Calibration of Interface Characteristic Variation in Capacitively Coupled Non-Contact EEG Acquisition System Jingyi Song and Yun Chiu Analog and Mixed-Signal Lab, TxACE Department of Electrical Engineering University of Texas at Dallas Richardson, TX 75080 Gel-free, non-contact electroencephalograph (EEG) acquisition is quickly arising as a contender to wet-electrode sensing techniques, particularly for ambulance applications. One critical