AI Based Non-invasive Glucose Detection Using Urine

Title

AI Based Non-invasive Glucose Detection Using Urine

Creator

Dhrupad U.; Vignesh N.H.; Murthy H.; Mukherjee C.; Unal A.

Description

This proposed device uses urine to predict the glucose level present in the patient using non-invasive technique with a high level of accuracy for detection of diabetes. The paper presents a urine glucose level diagnosing and prediction using a computer-based polarimeter held in a portable device, to provide a fast and accurate on-field result. The instrument consists of an LCD screen, optical sensor, Benedicts reagent, a detachable tank, and an embedded system-on-chip (SoC). Springer Nature Singapore Pte Ltd 2020.

Source

Lecture Notes in Networks and Systems, Vol-93, pp. 513-519.

Date

2020-01-01

Publisher

Springer

Subject

Artificial intelligence; Benedicts reagent; Diabetes mellitus; Non-invasive

Coverage

Dhrupad U., Faculty of Engineering, CHRIST (Deemed to be University), Bangalore, India; Vignesh N.H., Faculty of Engineering, CHRIST (Deemed to be University), Bangalore, India; Murthy H., Faculty of Engineering, CHRIST (Deemed to be University), Bangalore, India; Mukherjee C., Faculty of Engineering, CHRIST (Deemed to be University), Bangalore, India; Unal A., Digital Monozukuri, Palo Alto, CA, United States

Rights

Restricted Access

Relation

ISSN: 23673370

Format

Online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.1007/978-981-15-0630-7_51

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079489366&doi=10.1007%2f978-981-15-0630-7_51&partnerID=40&md5=96604c1f08fbe8c130a07e9da93254d1