Research on multi-parameter fusion non-invasive blood glucose detection method based on machine learning.
Journal:
European review for medical and pharmacological sciences
Published Date:
Sep 1, 2022
Abstract
OBJECTIVE: Traditional blood glucose testing methods have several disadvantages, such as high pain and poor acquisition continuity. In response to these shortcomings, we propose a multi-parameter fusion non-invasive blood glucose detection method that combines machine learning and photoplethysmography (PPG) signal feature parameter analysis.