作者: Peter A. Baghurst
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摘要: Abstract Background: Glycemic variability is currently under scrutiny as a possible predictor of the complications diabetes. The manual process for estimating now classical measure glycemic variability, mean amplitude excursion (MAGE), both tedious and prone to error, there special need an automated method calculate MAGE from continuous glucose monitoring (CGM) data. Methods: An algorithm identifying peaks nadirs corresponding excursions required calculation has been developed. takes column timed measurements generates plot joining MAGE. It returns estimates upward downward excursions, together with several other indices variability. Results: Details application CGM data collected over 48-h period are provided, graphical illustrations intermed...