Abstract
Biomedical devices are increasingly collecting data related to how they interact with the patients that are being treated. One such device, on which two California State University, Sacramento teams did initial development, collects data from force sensors attached to two different types of patient mobility devices, and saves the raw data for conversion and display so that a physical therapist can use it to make treatment decisions. Currently a rudimentary conversion display program exists; however, it lacks many useful features. This project endeavors to create a more robust data interpretation and display application that draws upon the investigator’s extensive experience in the medical field with such applications. The project incorporates industry standard features such as a user login system, patient demographic information database, and storage of patient’s personally identifiable information or PII. The previous program only converted the raw data recorded on an SD card into ASCII digits that may be graphed via a spreadsheet program. This format did not allow for easy interpretation and was not well suited to large data sets. The application that has been created is standalone and performs conversion and display without the need for a third program. In order to ensure that the application will run on a wide variety of computer systems it has been written in the widely available Python programming language.