A Low gate count reconfigurable architecture for biomedical signal processing applications

5Citations
Citations of this article
13Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

A new reconfigurable architecture for biomedical applications is presented in this paper. The architecture targets frequently encountered functions in biomedical signal processing algorithms thereby replacing multiple dedicated accelerators and reports low gate count. An optimized implementation is achieved by mapping methodologies to functions and limiting the required memory leading directly to an overall minimization of gate count. The proposed architecture has a simple configuration scheme with special provision for handling feedback. The effectiveness of the architecture is demonstrated on an FPGA to show implementation schemes for multiple DSP functions. The architecture has gate count of ≈ 25k and an operating frequency of 46.9 MHz.

References Powered by Scopus

A Real-Time QRS Detection Algorithm

6441Citations
N/AReaders
Get full text

The CORDIC Trigonometric Computing Technique

2043Citations
N/AReaders
Get full text

The JPEG 2000 still image compression standard

1430Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Deep Conviction Systems for Biomedical Applications Using Intuiting Procedures With Cross Point Approach

18Citations
N/AReaders
Get full text

A novel secure artificial bee colony with advanced encryption standard technique for biomedical signal processing

13Citations
N/AReaders
Get full text

Hybrid Radix-16 booth encoding and rounding-based approximate Karatsuba multiplier for fast Fourier transform computation in biomedical signal processing application

3Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Jain, N., Mishra, B., & Wilson, P. (2021). A Low gate count reconfigurable architecture for biomedical signal processing applications. SN Applied Sciences, 3(4). https://doi.org/10.1007/s42452-021-04412-y

Readers over time

‘22‘23036912

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 1

100%

Readers' Discipline

Tooltip

Engineering 2

100%

Save time finding and organizing research with Mendeley

Sign up for free
0