Guan-Chun Chen, Yi-Chun, Du, Jian-Xing Wu, Chia-Hung Lin, Tainsong Chen
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Peripheral Arterial Disease (PAD), Van der Pol (VDP),photoplethysmography (PPG), hemodialysis.
Peripheral arterial disease (PAD) is highly
encountered in hemodialysis patients. The rate of
cardiovascular disease-associated hospitalization and
mortality among those PAD patients is higher than non-
PAD subjects. Early detection of PAD could prevent
peripheral limbs problems such as numbness, limp, and
amputations, especially in hemodialysis patients’ foot.
The ankle brachial index (ABI) is a widely used tool for
PAD screening; however it has many clinical limitations
and is not suitable for the patients with vascular sclerosis.
Therefore, the aim of the present study is to develop a
bilateral photoplethysmography (PPG) system with Van
der Pol (VDP) Oscillator detector based on Burg
autoregressive (AR) method for PAD estimation. The
proposed system could track the bilateral symmetry or
asymmetry of PPG signals and classify the grade of PAD
in hemodialysis patients. The test results from 32 patients
showed that the proposed system has high accuracy of
classification (over 90%) for hemodialysis patients.