New and Low-Cost Ways to Execute Biomedical Signal Processing

The human body is constantly sending, processing, and receiving information about its health. This internal communication process is often times achieved through tiny electrical signals, called Biomedical Signals (Biosignals). In this project, we investigate new ways to process Biosignals using embedded systems and computer simulations. We work with Texas Instruments’ OMAP L-138 Digital Signal Processor and Code Composer Studio IDE to process and analyze the electrical behavior of the human heart (ECG Biosignals). In addition to creating computer codes to process such signals, one expected outcome of this research project is a series of tutorials exploring Biomedical concepts and digital signal processing algorithms. Our goal is to make Biomedical Signal Processing widely accessible, hence our decision to design around low-cost hardware and software, and to make all documentation available online at http://smartsystems.eng.fau.edu/biomedical-signal-processing/.