Chia-Hung Lin, Jian-Liung Chen, Yi-Chun Du, Shih-Ming Pan, Jian-Xing Wu
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This paper proposes a novel method for peripheral vascular occlusive disease (PVOD) estimation in diabetic foot using a fractional-order chaotic system (FOCS). Photo-plethysmography (PPG) is a non-invasive technique for detecting blood volume changes in peripheral arteries. Bilateral PPG signals gradually become asymmetry on the right-site or left-site transit time and pulse shape with PVOD severity and have high correlation. We utilized a FOCS detector to estimate the grades of PVOD by analyzing dynamic errors based on various butterfly patterns, including normal condition (Nor), lower-grade (LG) disease and higher-grade (HG) disease patterns. A color relation analysis (CRA) based classifier is proposed to recognize the various patterns. For 21 subjects, the proposed method showed higher accuracy in estimation of PVOD.
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