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New and Low-Cost Ways to Execute Biomedical Signal Processing

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Date Issued:
2014
Summary:
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/.
Title: New and Low-Cost Ways to Execute Biomedical Signal Processing.
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Name(s): Carvalho, Felipe
Shankar, Ravi
Type of Resource: text
Genre: Symposium Presentation
Date Issued: 2014
Publisher: Florida Atlantic University Digital Library
Physical Form: Online Resource
Extent: 27 p.
Language(s): English
Summary: 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/.
Identifier: FA0005006 (IID)
Subject(s): College students --Research --United States.
Persistent Link to This Record: http://purl.flvc.org/fau/fd/FA0005006
Host Institution: FAU