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Neuro Fuzzy Logic Based Self Diagnosis of Health Parameter using LabView: A Review


Sangeeta Kashyap , Bharti College Of Engineering & Technology, Bhilai; Mr. Virendra Swarnkar, Bharti College Of Engineering & Technology, Bhilai,


Labview, LIFA Tool, DSC and Advance Signal Processing Tools, Fuzzy Logic Tool


Healthcare is impending an acute phase. The age factor increases the ubiquity of incurable diseases. Most of the people are affected by cardiovascular and respiratory diseases but also economically high. Patients have to visit their doctor continuously to get their significant symptoms measured. Due to this patients in inaccessible areas are suffers from proper healthcare. Hence, there is a demand to evolve a system which will help the patients (elderly and rehabilitation after hospitalization) in minimizing continuous visits to the doctor and also assist in timely diagnosis of critical diseases with economically low cost. This proposed project mainly focuses on developing such a system using Neuro-Fuzzy through adaptive learning system. The simulation results using LABVIEW shows that the performance of the neuro-fuzzy approach is admirable and easy to implement. This proposed system of self-learning continuously reads patient‘s pulse rate or heart beat rate and body temperature and patient related symptoms and create a database according to doctor and standard parameter to continuous monitoring to patient conditions and design alarm and preventive precaution and these values will be shown in graphical user interface monitoring system using labview software and sensors sense the health parameter ECG (AD82320, heart bit rate body temperature(LM35) using arduino microcontroller board.

Other Details

Paper ID: IJSRDV7I70342
Published in: Volume : 7, Issue : 7
Publication Date: 01/10/2019
Page(s): 605-609

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