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

• 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/31063/1/Performance%20comparison%20of%20non-invasive%20blood%20glucose%20level%20.pdf; http://umpir.ump.edu.my/id/eprint/31063/; https://ieeexplore.ieee.org/document/9350885
• Institution: Universiti Malaysia Pahang

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...