Professor of AAB College at the Computer Science Faculty, Engin Melekoglu has published his scientific study “A new diagnostic method for chronic obstructive pulmonary disease using photoplethysmographic signal and hybrid artificial intelligence”.
This study, which was carried out in cooperation with Sakarya University of Turkey, brings the newest and most sophisticated method to detect chronic obstructive pulmonary diseases that matches the latest technological developments and the use of artificial intelligence.
The application of this method is followed by the visible effect on people’s daily lives, making them more aware of the risks that these diseases present at global level.
Therefore, the newest method discovered by Professor Melekoglu, which through the use of photoplethysmography enables the diagnosis of COPD, significantly increases the hopes for early detection of the disease and then its treatment in the right way.
According to the findings, the diagnosis is made through a two-second recording by PPG-photoplethysmography and using a combined approach of artificial intelligence, the correct ratio is up to 95.31%.
Chronic obstructive pulmonary disease is characterized by problems with breathing and blockage of the air sacs known as alveoli within the lungs, causing persistent problems with breathing, coughing and shortness of breath.
Below is the link to the study: https://peerj.com/articles/cs-1188/