Mathematical Model of Sino-Atrial Node Used in Assessment of Neuropathy and Cardiac Health in Diabetics

Abstract

Experimental Results: In this paper, a mathematical model is proposed in the paper for calculating the strength of neural signal conduction. The average neural signal conduction of diabetic cohort is found to be reduced compared to the non-diabetic cohort. The diabetic cohort with myocardial ischemia/infarction is found to have with least average neural signal conduction followed by the diabetic and hypertensive cohort. In case of hypertensive cohorts, the average neural signal conduction is found to be equal to that of the normal cohort. The effect of the neural conduction can be observed on the total power spectral density from the frequency domain AR analysis of R-R intervals. The average Left Ventricular Ejection Fraction (LVEF) index retrieved from the echocardiogram in all the cohorts is found to be consistent with the reduced neural signal conduction.