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Real-time EEG signal processing based on TI’s TMS320C6713 DSK

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Conference

2013 ASEE Annual Conference & Exposition

Location

Atlanta, Georgia

Publication Date

June 23, 2013

Start Date

June 23, 2013

End Date

June 26, 2013

ISSN

2153-5965

Conference Session

Integrating Curriculum and Labs in Engineering Technology Programs

Tagged Division

Engineering Technology

Page Count

9

Page Numbers

23.1022.1 - 23.1022.9

Permanent URL

https://peer.asee.org/22407

Download Count

347

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Paper Authors

biography

Zhibin Tan East Tennessee State University

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Dr. Zhibin Tan received her Ph.D. at department of Electrical and Computer Engineering at Wayne State University in 2011; From 2011 to present, she is an assistant professor at the department of Engineering Technology, Surveying, and Digital Media at East Tennessee State University. She is teaching in the biomedical engineering technology program and electrical engineering technology program. Interested research areas include engineering education, digital signal processing, biomedical signal processing, control and modeling etc.

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biography

William H. Blanton East Tennessee State University

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Dr. Blanton is the coordinator of the Biomedical Engineering Technology concentration in the Department of Engineering Technology, Digital Media, and Surveying at East Tennessee State University. His academic interest include digital signal processing, programmable logic devices, and digital communications.

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biography

Qianru Zhang East Tennessee State University

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Qianru Zhang is an undergraduate student majoring in Electronics Engineering Technology at the department of Engineering Technology, Surveying, and Digital Media at East Tennessee State University.

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Abstract

Real-time EEG signal processing based on TI’s TMS320C6713 DSK AbstractAs one of the most powerful DSP products of Texas Instruments, the TMS320C6x DSPs havebeen used in a variety of areas in industries for real-time signal processing applications (e.g.,communication, radar system, hearing aid etc.), and in research agencies for developingadvanced algorithms and prototyping of a DSP system for specific applications. In education, theC6x DSPs were also widely used as a tool for bridging the gap between the digital signalprocessing theory and practical applications. The hardware-based laboratories have beensuccessfully integrated into the digital signal processing course at many universities. However,most labs were designed only for very common signal processing problems such as the FIR/IIRfilter design, FFT and so on. In this paper, a system for real-time EEG (electroencephalograph)signal acquisition, processing and presentation will be implemented with the Texas Instrument’sTMS320C6713 DSK being used as the hardware platform. As a practical application of C6713DSK in biomedical signal processing, this project is designed as a complement of the currentDSP laboratories of the Digital Signal Processors course for senior levelundergraduates/graduates in Biomedical Engineering Technology Program (BMET) at theuniversity. After the completion of the project, students are expected to be able to understand thescheme of a real world DSP system, process EEG signals for specific applications and gain theexperience in processing the real world signals. In addition, this project is also intended forpreparing the motivated high level students for future career in biomedical signal processing.

Tan, Z., & Blanton, W. H., & Zhang, Q. (2013, June), Real-time EEG signal processing based on TI’s TMS320C6713 DSK Paper presented at 2013 ASEE Annual Conference & Exposition, Atlanta, Georgia. https://peer.asee.org/22407

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