ArticleWorld journal of diabetes2023
Characteristics of glucose change in diabetes mellitus generalized through continuous wavelet transform processing: A preliminary study.
Article in World journal of diabetes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundThe continuous glucose monitoring (CGM) system has become a popular evaluation tool for glucose fluctuation, providing a detailed description of glucose change patterns. We hypothesized that glucose fluctuations may contain specific information on differences in glucose change between type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM), despite similarities in change patterns, because of different etiologies. Unlike Fourier transform, continuous wavelet transform (CWT) is able to simultaneously analyze the time and fre-quency domains of oscillating data.
aimTo investigate whether CWT can detect glucose fluctuations in T1DM.
methodsThe 60-d and 296-d glucose fluctuation data of patients with T1DM (
resultsThe high frequency at midnight (median: 75 Hz, cycle time: 19 min) and middle frequency at noon (median: 45.5 Hz, cycle time: 32 min) were higher in T1DM
conclusionCWT might be a novel tool for differentiate glucose fluctuation of each type of diabetes mellitus using CGM data.
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