Non-invasive blood glucose concentration level estimation accuracy using ultra-wide band and artificial intelligence
Diabetes becomes a rapidly increasing global epidemic and getting serious health concern worldwide. There is no remedy except systematic management to keep blood glucose level under control. To achieve that regular glucose level monitoring is a routine task for a patient. This involves collection of...
Saved in:
Main Authors: | Islam, Minarul, Ali, Md Shawkat, Shoumy, Nusrat Jahan, Sabira, Khatun, Mohamad Shaiful, Abdul Karim, Bari, Bifta Sama |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer Nature
2020
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/28825/1/Non-invasive%20blood%20glucose%20concentration.pdf http://umpir.ump.edu.my/id/eprint/28825/ https://doi.org/10.1007/s42452-019-1884-3 https://doi.org/10.1007/s42452-019-1884-3 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Software module development for non-invasive blood glucose measurement using an ultra-wide band and machine learning
by: Islam, Minarul, et al.
Published: (2020) -
Performance comparison of non-invasive blood glucose level using artificial neural network and ultra-wide band antenna
by: Islam, Minarul Rafiqul, et al.
Published: (2020) -
Non-Invasive Diabetes Level Monitoring System using Artificial Intelligence and UWB
by: Islam, Minarul, et al.
Published: (2020) -
A non-invasive ultra-wide band based system using artificial intelligence to determine blood glucose level
by: Md Shawkat, Ali
Published: (2017) -
Ultra wide Band (UWB) Based Early Breast Cancer Detection using Artificial Intelligence
by: Bari, Bifta Sama, et al.
Published: (2019)