Artificial intelligence based non-invasive blood glucose level estimation using PPG sensor
Azam Khan (27711)
Artificial intelligence based non-invasive blood glucose level estimation using PPG sensor - Islamabad (Unpublished) 2024 - xiii , 43 p. : ill. ; 30 cm. +CD
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
Thesis (M.S.)--Riphah International University, 2024
English
Electrical engineering--power line interference --Primatene ventricular --Motion artifact --Single wave --Energy--FEAS
621.31 / AZA
Artificial intelligence based non-invasive blood glucose level estimation using PPG sensor - Islamabad (Unpublished) 2024 - xiii , 43 p. : ill. ; 30 cm. +CD
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
Thesis (M.S.)--Riphah International University, 2024
English
Electrical engineering--power line interference --Primatene ventricular --Motion artifact --Single wave --Energy--FEAS
621.31 / AZA