Key result
dSVRI distinguishes healthy from Type-II diabetic subjects with ~99% diagnostic accuracy.
Why the study?
Current photoplethysmogram (PPG) features for diagnosing Type-II diabetes mellitus do not indicate clinical correlation with cardiovascular regulation.
Does the novel dSVRI feature derived from PPG improve diagnostic accuracy for Type-II Diabetes Mellitus compared to existing PPG features?
Observational (n=219)
Does the novel dSVRI feature derived from PPG improve diagnostic accuracy for Type-II Diabetes Mellitus compared to existing PPG features?
The novel dSVRI feature derived from PPG achieves 98.52% accuracy in discriminating between healthy and Type-II diabetes subjects using a random forest classifier.
May support PPG-based diabetes screening; hypothesis-generating and requires prospective validation before practice change.
Diabetes is a group of metabolic disorders characterized by hyperglycemia caused by a deficiency in insulin production, insulin action, or both. Type-II diabetes mellitus (DM-2) complications include retinopathy, cardiovascular disorder, and diabetic neuropathy. The existing works for the diagnosis of DM-2 using photoplethysmogram (PPG) utilize several time-domain features and demographic parameters of the individuals. However, the current features do not indicate a clinical correlation between DM-2 and its functional influence on cardiovascular regulation. This work proposes a novel index, called dynamic systemic vascular resistance index (dSVRI), as a feature based on systemic vascular resistance pathology to discriminate between a healthy and diabetic subject. The discrimination ability and the diagnostic performance of the proposed dSVRI were compared with the existing time-domain PPG features and its higher derivatives. In experiments with a publicly available dataset (having 219 subjects including healthy and DM-2 individuals), an accuracy of 98.52% is obtained using grid search random forest, which is significantly higher than the existing methods.
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Gupta et al. (2022) conducted an observational in Type-II Diabetes Mellitus (n=219). dynamic systemic vascular resistance index (dSVRI) vs. existing time-domain PPG features was evaluated on diagnostic accuracy. The dynamic systemic vascular resistance index (dSVRI) achieved a diagnostic accuracy of 98.52% for discriminating between healthy and Type-II diabetic subjects.
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