Azam Khan (27711) <br/><br/>
Artificial intelligence based non-invasive blood glucose level estimation using PPG sensor  

 - Islamabad  (Unpublished)  2024 
 - xiii , 43 p.   : ill.  ; 30 cm.  +CD 
<br/><br/> Submitted in partial fulfillment of the requirements for the degree of Master of Science in Electrical Engineering to the Faculty of Engineering and Applied Sciences.  Includes bibliographical references.  Thesis supervisor: Dr. Shahreyar Najam 
<br/><br/>Thesis (M.S.)--Riphah International University, 2024 
<br/><br/><br/>English 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Electrical engineering--power line interference --Primatene ventricular --Motion artifact --Single wave --Energy--FEAS
<br/><br/><label>Dewey Class. No.: </label>621.31  / AZA