Performance comparison of non-invasive blood glucose level using artificial neural network and ultra-wide band antenna

Performance comparison of non-invasive blood glucose level using artificial neural network and ultra-wide band antenna

Diabetes is a serious health concern, and it became more and more common to the people due to its rapidly increasing cases. People with diabetes are required to monitor their blood glucose level regularly in order to control their blood glucose concentration level (BGCL). Common monitoring methods w...

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Bibliographic Details
Main Authors: Islam, Minarul Rafiqul, Sabira, Khatun, Kamarul Hawari, Ghazali, Mohd Mawardi, Saari, Shakib, Mohammed Nazmus, Mohamad Shaiful, Abdul Karim
Format: Conference or Workshop Item
Language:English
Published: IEEE 2020
Subjects:
QC Physics
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/31063/
http://umpir.ump.edu.my/id/eprint/31063/1/Performance%20comparison%20of%20non-invasive%20blood%20glucose%20level%20.pdf

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