Continuous glucose monitoring

Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/1442

Full metadata record

DC Field	Value	Language
dc.contributor.author	Sahu, Sahil	-
dc.contributor.author	Jalote, Pankaj (Advisor)	-
dc.contributor.author	Sethi, Tavpritesh (Advisor)	-
dc.date.accessioned	2024-05-13T09:58:25Z	-
dc.date.available	2024-05-13T09:58:25Z	-
dc.date.issued	2023-11-29	-
dc.identifier.uri	http://repository.iiitd.edu.in/xmlui/handle/123456789/1442	-
dc.description.abstract	Diabetes is a chronic illness that affects millions of people worldwide and requires regular monitoring of a patient’s blood glucose level. Currently, blood glucose is monitored by a minimally invasive process where a small droplet of blood is extracted and passed to a glucometer—however, this process is uncomfortable for the patient. In this project, a noninvasive technique is investigated for the quantitative estimation of glucose levels in the blood based on Photoplethysmography (PPG) signal, Galvanic Skin Response, and other biosignals.	en_US
dc.language.iso	en_US	en_US
dc.publisher	IIIT-Delhi	en_US
dc.subject	PPG	en_US
dc.subject	GSR	en_US
dc.subject	diabetes	en_US
dc.subject	blood glucose	en_US
dc.subject	signal processing	en_US
dc.subject	machine learning	en_US
dc.title	Continuous glucose monitoring	en_US
dc.type	Other	en_US
Appears in Collections:	Year-2023

Files in This Item:

File	Description	Size	Format
BTP_Report - Sahil Sahu.pdf Restricted Access		1.67 MB	Adobe PDF	View/Open Request a copy

DSpace JSPUI