Design and Implementation of Robust Low Power ECG Pre-processing Module

Abstract

A robust low power Electrocardiogram (ECG) pre-processor is proposed to extract the useful information from biomedical signal. The methodology uses window-based efficient design that consumes less power and resources of Field Programmable Gate Array (FPGA). The comparison has been done among different window functions and filter architectures (Symmetric and Anti-symmetric). The entire hardware implementation is carried out on ZedBoard Zynq-7000 FPGA board. The inference has been drawn that symmetric Bartlett window consumes only 0.88%, 5.13%, and 9% of LUTs, slice registers and DSPs units respectively. 35mW of dynamic and 105 mW of static power is consumed by the pre-processor module. The proposed design is recommended to find applications in wearable and portable biomedical equipments.

KEYWORDS:

• Digital signal processor
• Field programmable gate array
• Pre-processor
• Window function

ACKNOWLEDGEMENTS

We are very sincerely thankful to the reviewers and Editorial Board for constructive comments in order to improve the manuscript. We are also thankful for comments/suggestions for further improvement/reconsideration in our manuscript. We deeply acknowledge the efforts made by the reviewers and devoting valuable time for the improvement of this manuscript.

Additional information

Notes on contributors

Kirti Tripathi

Kirti Tripathi has received MTech degree in VLSI designing from Banasthali Vidyapith, Banasthali (Rajasthan) in 2016. She worked as a lecturer in the Department of Electronics and Communication Engineering in Malout Institute of Management and Technology (MIMIT), Malout, India from July 2016 to May 2017. She is currently pursuing her PhD degree in biomedical signal processing. Her current research interest is FPGA implementation of ECG module.

Harsh Sohal

Harsh Sohal has received PhD in biomedical engineering from Kyung Hee University, South Korea. He specializes in FPGA based instrumentation system design. His primary research interests are in the fields of electronic instrumentation, circuits & systems design for medical electronics applications. He is a member of IEEE and is a life member of Biomedical Engineering Society of India. Email: [email protected]

Shruti Jain

Shruti Jain has received PhD degree from Jaypee University of Information Technology, Waknaghat, Solan. She has a teaching experience of around 14 years. She has specialization in biomedical signal processing and computer-aided design of FPGA and VLSI circuits, combinatorial optimization, trust and security in VLSI chips and computer systems. Email: [email protected]