FPGA Implementation of Radix-2 FFT Processor Based on CORDIC Algorithm for Electromyography

Anju M. I.*, J. Mohan **, Beena M. I.***
* Department of Electronics and Communication Engineering, New Prince College of Engineering and Technology, Chennai, Tamil Nadu, India.
** Department of Electronics and Communication Engineering, SRM Valliammai College of Engineering, Chennai, Tamil Nadu, India.
*** Department of Mathematics, Ezuthachan College of Pharmaceutical Sciences, Thiruvananthapuram, Kerala, India.
Periodicity:April - June'2019
DOI : https://doi.org/10.26634/jdp.7.2.16828

Abstract

Electromyography (EMG) is a diagnostic technique for determining the health status of the muscles and the motor neurons that regulate them. It transmits electrical signals that cause muscles to contract and relax. An EMG translates these signals into graphs or numbers and help the doctors to make diagnosis. The electric signal transmitted by the muscles will have lot of noises. Fast Fourier Transform is one of the most used algorithms for calculating the Discrete Fourier Transform (DFT). It's because of its reduction in computing time and better efficiency. A radix-2 FFT allows to analyze dynamic signals coming through muscle contractions efficiently and same can be precisely implemented using radix-4 Coordinate Rotation Digital Computer (CORDIC) algorithm. Here it deals with the calculation of muscle fatigue using EMG and proposes an ideal FFT core implementation using CORDIC algorithm as a solution for the same.

Keywords

Electromyography, Discrete Fourier Transform, Coordinate Rotation Digital Computer, Surface Electromyography, Fast Fourier Transforms

How to Cite this Article?

Anju, M. I., Mohan, J., and Beena, M. I. (2019). FPGA Implementation of Radix-2 FFT Processor Based on Cordic Algorithm for Electromyography. i-manager’s Journal on Digital Signal Processing. 7(2), 15-24. https://doi.org/10.26634/jdp.7.2.16828

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