Open AccessFPGA Implementation of Disease Detection System
Author(s) -
Amana Yadav,
Naresh Grover
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d7443.118419
Subject(s) - field programmable gate array , computer science , task (project management) , disease , artificial intelligence , computer hardware , embedded system , real time computing , medicine , engineering , systems engineering
Nowadays Cardiovascular diseases are very trivial in every part of world. People are suffering from many such diseases; so a time to time check-up of their heart is very important and it is good if a person get to know about these diseases in advance. Heart checkup is again a very crucial task; hence to overcome this problem, a single system is needed, to know about few diseases depending upon electrocardiogram (ECG) of the patient under observation and few body parameters. Here to detect the disease in early stage, a new Field Programmable Gate Array (FPGA) based technique has been proposed using different ECG features along with few body parameters. This novel technique will diagnose diseases depending upon temperature, Systolic Pressure, Weight, Diastolic pressure, SPo2, and Sugar etc. MIT-BIH database was used to get ECG signals and for simulation and to display the results Xilinx version 8.2 was used.