Laser Doppler Spectrum Analysis Based on Calculation of Cumulative Sums Detects Changes in Skin Capillary Blood Flow in Type 2 Diabetes Melitus.
Igor KozlovEvgenii A ZherebtsovGalina MasalyginaKonstantin PodmasteryevAndrey DunaevPublished in: Diagnostics (Basel, Switzerland) (2021)
In this article, we introduce a new method of signal processing and data analysis for the digital laser Doppler flowmetry. Our approach is based on the calculation of cumulative sums over the registered Doppler power spectra. The introduced new parameter represents an integral estimation for the redistribution of moving red blood cells over the range of speed. The prototype of the device implementing the technique is developed and tested in preliminary clinical trials. The methodology was verified with the involvement of two age groups of healthy volunteers and in a group of patients with type 2 diabetes mellitus. The main practical result of the study is the development of a set of binary linear classifiers that allow the method to identify typical patterns of the microcirculation for the healthy volunteers and diabetic patients based on the presented diagnostic algorithm.
Keyphrases
- blood flow
- data analysis
- type diabetes
- clinical trial
- red blood cell
- end stage renal disease
- newly diagnosed
- ejection fraction
- chronic kidney disease
- machine learning
- cardiovascular disease
- prognostic factors
- glycemic control
- metabolic syndrome
- density functional theory
- ionic liquid
- randomized controlled trial
- mass spectrometry
- open label
- adipose tissue
- soft tissue
- study protocol