OPTIMIZING WELLNESS: CHOLESTEROL CALIBRATION SOLUTIONS FOR DUAL DIABETICS USING A FIELD-PROGRAMMABLE GATE ARRAY PLATFORM

D. Brintha Michle

Authors

D. Brintha Michle Assistant Professor Nanjil Catholic College of Arts & Science Kaliyakkavilai Tamilnadu, India

Keywords:

Cholesterol calibration, dual diabetes, Field-Programmable Gate Array (FPGA)

Abstract

Managing health conditions such as diabetes requires precise monitoring of various biomarkers, including cholesterol levels. This study focuses on optimizing cholesterol calibration solutions for individuals with dual diabetes and cholesterol concerns. Leveraging a Field-Programmable Gate Array (FPGA) platform, the research aims to develop a robust and efficient solution for accurate cholesterol measurements. By integrating data processing algorithms and sensor interfaces onto the FPGA, the study seeks to enhance the accuracy, speed, and reliability of cholesterol calibration. The findings offer insights into the potential of FPGA-based solutions for improving wellness management among individuals with complex health conditions.

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