Title: Study of skin flow motion pattern using photoplethysmogram

Authors: Neelamshobha Nirala; R. Periyasamy; Awanish Kumar

Addresses: Department of Biomedical Engineering, National Institute of Technology Raipur, India ' Department of Biomedical Engineering, National Institute of Technology Raipur, India ' Department of Biotechnology, National Institute of Technology Raipur, India

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.

Keywords: continuous wavelet transform; diabetes; photoplethysmogram; microcirculation; skin blood flowmotion; vasomotion.

DOI: 10.1504/IJAIP.2020.107525

International Journal of Advanced Intelligence Paradigms, 2020 Vol.16 No.3/4, pp.241 - 264

Received: 17 Jun 2017
Accepted: 05 Aug 2017
Published online: 01 Jun 2020 *

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