00864nam a22001697a 4500040003700000082001600037100002200053245009600075260003500171300004100206500017100247500004100418500004300459502005700502546001200559650012300571  cRiphah International University   a621.31bAZA  aAzam Khan (27711)  aArtificial intelligence based non-invasive blood glucose level estimation using PPG sensor   aIslamabadb(Unpublished)c2024  axiii , 43 p. b: ill.c; 30 cm.e+CD  aSubmitted in partial fulfillment of the requirements for the degree of Master of Science in Electrical Engineering to the Faculty of Engineering and Applied Sciences.  aIncludes bibliographical references.  aThesis supervisor: Dr. Shahreyar Najam  aThesis (M.S.)--Riphah International University, 2024  aEnglish  aElectrical engineeringvpower line interference vPrimatene ventricular vMotion artifact vSingle wave vEnergyvFEAS