i-manager s Journal on Digital Signal Processing, Год журнала: 2024, Номер 12(2), С. 43 - 43
Опубликована: Янв. 1, 2024
Diabetes management is critical for a vast population worldwide, and traditional blood glucose monitoring methods typically require invasive sampling, leading to patient discomfort poor adherence. This study proposes the development of non-invasive breath-based system that leverages gas sensors detect specific volatile organic compounds (VOCs) in exhaled breath, particularly acetone, which correlates with levels. The will utilize metal oxide semiconductor (MOS) machine learning algorithms provide accurate real-time readings. By eliminating need finger pricks, this innovative device aims enhance convenience compliance diabetic patients, ultimately contributing better disease quality life. feasibility, accuracy, usability be validated through clinical trials, paving way future advancements diabetes care technologies.
Язык: Английский