A Review on FPGA-Based Digital Filters for De-Noising ECG Signal

Author:

Nayak Seema1,Nayak Manoj2,Pathak Pankaj3ORCID

Affiliation:

1. Department of Electronics and Communication Engineering, IIMT College of Engineering, Greater Noida, India

2. Department of Mechanical Engineering, FET, Manav Rachnan International Institute of Research and Studies, Faridabad, India

3. G. L. Bajaj Institute of Technology and Management, India

Abstract

This chapter gives an overview of synthesis and analysis of digital filters on FPGA for denoising ECG signal, which provides clinical information related to heart diseases. Various types of IIR and FIR filtration techniques used for noise removal are also discussed. Many developments in the medical system technology gave birth to monitoring systems based on programmable logic devices (PLDs). Although not new to the realm of programmable devices, field programmable gate arrays (FPGAs) are becoming increasingly popular for rapid prototyping of designs with the aid of software simulation and synthesis. They are reprogrammable silicon chips, configured to implement customized hardware and are highly desirable for implementation of digital filters. The extensive literature review of various types of noise in ECG signals, filtering techniques for noise removal, and FPGA implementation are presented in this chapter.

Publisher

IGI Global

Reference29 articles.

1. Design of 50 Hz notch filter circuits for better detection of online ECG

2. Bansal, D., Khan, M., & Salhan, A. K. (2009). A Computer Based Wireless System For Online Acquisition, Monitoring and Digital Processing of ECG Waveforms. Computers in Biology and Medicine, 39(4), 361-367.

3. Removal of 50Hz Power Line Interference For Quality Diagnosis of ECG Signal;S.Barick;International Journal of Engineering Science and Technology,2013

4. Implementation of Digital Filter on FPGA For ECG Signal Processing;P. R.Bokde;International Journal of Emerging Technology and Innovative Engineering,2015

5. Bortolan, G., & Christov, I. (2014). Dynamic Filtration of High-Frequency Noise in ECG Signal. Computing in Cardiology, 41, 1089-1092.

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