Design and implementation of 32x32 SRAM array for bio medical applications

Also Available Domains Low Power VLSI

Project Code :TVMABE295

Objective

The goal of this project is to design and implement a 32×32 SRAM array optimized for biomedical applications. The design focuses on achieving low power consumption, high reliability, and stability to meet the stringent requirements of biomedical devices.

Abstract

SRAM (Static Random-Access Memory) arrays are essential components in biomedical devices for fast and reliable data storage and retrieval, particularly in portable and low-power systems such as wearable health monitors and diagnostic equipment. This project presents the design and implementation of a 32×32 SRAM array tailored for biomedical applications, emphasizing low power consumption, high stability, and minimal area utilization. The array is designed using a standard CMOS-based SRAM cell, optimized for read/write operations, noise margin, and retention reliability. Simulation results demonstrate proper functionality, efficient memory access, and reduced power consumption, making the design suitable for real-time biomedical signal storage and processing. The work highlights the integration of reliable memory architecture into biomedical systems, ensuring both performance and energy efficiency.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

Software Requirements:

Tool: Tanner EDA

Hardware Requirements:

· Microsoft® Windows XP

· Intel® Pentium® 4 processor or Pentium 4 equivalent with SSE support

· 512 MB RAM

· 100 MB of available disk space

Learning Outcomes

Basics of Digital Electronics
VLSI design Flow
Applications in real time

· Solution providing for real time problems

· Project Development Skills:

o Problem Analysis Skills

o Problem Solving Skills

o Logical Skills

o Designing Skills

o Testing Skills

o Debugging Skills

o Presentation Skills

o Thesis Writing Skills

Demo Video

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Front End Domains

Arithmetic Core
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DSP Core
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Back End Domains

Core Memories
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Transistor Logic
Nano Technology

Tools

Xilinx ISE
FPGA
Cadence EDA
Xilinx Vivado

Others

Matlab Interfacing