Software module development for non-invasive blood glucose measurement using an ultra-wide band and machine learning

• Main Authors: Islam, Minarul, Chai, Ly Min, Shoumy, Nusrat Jahan, Ali, Md Shawkat, Sabira, Khatun, Mohamad Shaiful, Abdul Karim, Bari, Bifta Sama
• Format: Conference or Workshop Item
• Language: English
• Published: IOP Publishing 2020
• Subjects: R Medicine (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/28823/1/Software%20module%20development%20for%20non-invasive%20blood%20glucose.pdf; http://umpir.ump.edu.my/id/eprint/28823/; https://doi.org/10.1088/1742-6596/1529/5/052066

Diabetes is a chronic disease and in uprising trend worldwide. There is no remedy, hence, blood glucose management is essential by screening blood glucose concentration levels (BGCL) regularly to maintain a healthy life. However, the present way of measuring BGCL is invasive by using a glucometer an...