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Multiscale entropy (MSE), an estimate of the complexity of physiological signals has been used for assessing diabetes status. This method requires much computation effort. Our study aimed to examine the Poincaré plot, an easier method for computation to differentiate the diabetes status. We selected subjects and divided them into three groups including the non-diabetes (HbA1c ≤ 6.5%, n=22), diabetes...
One of the prospective signals to assist in the acquisition and examination of heart rate variability (HRV) is the photoplethysmographic (PPG) time series. Poincaré method has been applied to HRV analysis in a patient with diabetes and chronic renal failure (CRF). Our study develops the Multiscale Poincaré (MSP), an easier method for computation to assess diabetes. We selected subjects and divided...
The synchronization of physiological processes is an important parameter for understanding the regulatory mechanisms of the human body. The study was focused on the developing methods and software module to determine the synchronous behavior epochs of the pulse intervals and systolic blood pressure during their simultaneous registration. Algorithm for evaluating epochs of synchronization based on...
The feedback regulation of blood pressure and heart rate is an important indicator of human autonomic function. Here we suggest a method to evaluate its efficacy by detecting the epochs of synchronization and by determining their quantitative characteristics from the beat-to-beat data records. We assess the phases of both processes using Gilbert Transform and analyze the phase differences. By applying...
Because only one set of parameter estimates can be obtained using ordinary least squares regression, it is impossible to analyze the effect of different body mass index (BMI) values on uric acid in depth. Therefore, we can only analyze the effect of body mass index on average level of uric acid. In this study, we attempt to build a regression model using quantile regression theory and use the model...
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