Study of skin flow motion pattern using photoplethysmogram
by Neelamshobha Nirala; R. Periyasamy; Awanish Kumar
International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 16, No. 3/4, 2020

Abstract: Microcirculatory dysfunction is related to many diseases and occurs long before their clinical manifestation. We used wavelet transform to study the microcirculatory regulatory mechanism in three different groups (18-diabetic, 8-peripheral arterial disease (PAD) and 14 healthy controls) using toe photoplethysmogram (PPG) and 11 different features were derived. Compared to healthy subjects we obtained a significant decrease in the neurogenic (VNe: 286.41 vs. 125.29 (a. u), p-value = 0.000), myogenic (VMe: 281.55 vs. 29.02, p-value = 0.000) and respiratory activity (VRe: 37.68 vs. 9.35, p-value = 0.022) in the diabetic group and significant increase in the cardiac activity (VCe: 19.69 vs. 33.89, p-value = 0.007) in PAD group. Result of linear multiple regressions analysis showed a significant negative association of age and BMI with myogenic activity (p-value = 0.002, r-value = 0.173) and neurogenic activity (p-value = 0.036, r-value = 0.375) respectively. Our study showed that PPG signal can be used as a non-invasive tool for studying the vasomotion impairment in the diabetic patient during resting condition.

Online publication date: Mon, 01-Jun-2020

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