Design of non-invasive blood glucose sensor and development of machine learning technique for detection
Blood glucose level monitoring advanced over the years due to an increase in health issues related to sugar, blood pressure, and so on. The Basic way is to test by a single drop of blood and other blood tests, but what if you do not need to poke or inject a needle to find an insulin level in your b...
Saved in:
Main Author: | Narayanan Revathi Sibi |
---|---|
Other Authors: | Muhammad Faeyz Karim |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/156178 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Touchless detection and classification of finger actions using radar sensor and machine learning
by: Shen, Chen
Published: (2021) -
Development of machine learning technique for wearable vital sign monitoring device
by: Zheng, Yandan
Published: (2019) -
Development of machine learning techniques for wearable vital signs monitoring device
by: Amy Amelyn Ahmad
Published: (2019) -
Study of radar signature extraction for effective gesture classification with machine learning
by: Sha, Weijia
Published: (2021) -
Exploration study of 60 GHz radar sensor for radar assisted living
by: Zhao, Ziyue
Published: (2022)