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 foot complications constitute a tremendous challenge for diabetic patients, caregivers, and INTRODUCTION—The the healthcare system. With current technology, in-shoe monitoring systems can be implemented to continuously monitor ulceration sites and send feedback to patients and physicians. foot’s at-risk Several in-shoe monitoring systems, reported in literature, depend on pressure sensors AIMS AND METHODS— 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 pressure distribution by using a foot’s 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
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
abstracts_selected.docx