FPGA implementation of fast FIR low pass filter for EMG removal from ECG signal

This paper presents the hardware implementation of fast FIR low pass filter for Electromyogram (EMG) removal from Electrocardiogram (ECG) signal. We designed the architecture having less critical delay then convention FIR design and fast enough to remove EMG from ECG signal. We Proposed branched tree architecture for adder connection to reduce the critical delay. The Proposed architecture has been implemented on FPGA using Verilog Hardware Description Language (HDL). Since coefficient quantization technique is used, so this implementation consumes lesser area that reduces the Hardware consumption. We have used target device Virtex-5 (“xc5vlx110t-2-ff1136”), which is a preferred device in the field for modern Digital Signal Processing (DSP) applications.

[1]  A. Luna,et al.  Basic Electrocardiography: Normal and Abnormal ECG Patterns , 2007 .

[2]  Jie Zhang,et al.  A high-speed, programmable, CSD coefficient FIR filter , 2002, IEEE Trans. Consumer Electron..

[3]  Joseph B. Evans Efficient FIR filter architectures suitable for FPGA implementation , 1994 .

[4]  John G. Proakis,et al.  Digital Signal Processing: Principles, Algorithms, and Applications , 1992 .

[5]  Richard G. Lyons,et al.  Understanding Digital Signal Processing , 1996 .

[6]  Gari D. Clifford,et al.  Signal processing methods for heart rate variability , 2002 .

[7]  Bede Liu,et al.  A high speed programmable digital FIR filter , 1990, International Conference on Acoustics, Speech, and Signal Processing.

[8]  H. T. Nagle,et al.  A comparison of the noise sensitivity of nine QRS detection algorithms , 1990, IEEE Transactions on Biomedical Engineering.

[9]  M. R. Neuman,et al.  QRS wave detection , 2006, Medical and Biological Engineering and Computing.

[10]  Zainul Abedin,et al.  12 Lead ECG Interpretation: The Self-Assessment Approach , 1989 .

[11]  Willis J. Tompkins,et al.  A Real-Time QRS Detection Algorithm , 1985, IEEE Transactions on Biomedical Engineering.

[12]  Atul Luthra ECG Made Easy , 2005 .

[13]  E. Estrada,et al.  Accurate derivation of heart rate variability signal for detection of sleep disordered breathing in children , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.