Pulse Arrival Time based Indices as Surrogates of Ankle Brachial Index for the Assessment of Peripheral Arterial Disease
Refereed conference paper presented and published in conference proceedings


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AbstractAnkle-Brachial Pressure Index (ABI), the ratio of ankle blood pressure to arm pressure, has been used to assess the severity of peripheral arterial disease (PAD) and to predict major cardiovascular events. This study proposes three indices which can be readily obtained from electrocardiogram and photoplethysmogram, and studies their correlation with ABI in supine and sitting positions. The proposed indices were derived from pulse arrival time (PAT). Specifically, the ratio of PAT measured from the fingertips to PAT measured from the toes of both sides (PATralio), and the relative bilateral differences in PAT measured from the toes of the legs, normalised by average PAT from the two legs (PATdiff1) and by the minimal PAT from one side (PATdiff2) were calculated. The results showed that PATratlo is better correlated with ABI compared to PATdiffl and PATdff2. The coefficient of determination (R2) between PATratio and ABI is 0.57 when measured in sitting posture, indicating its potential role as an alternative index of ABI for PAD diagnosis. Compared with ABI, the advantages of PATratio are 1) it can be measured at ease with wearable sensors that are available at a relatively low cost; 2) the PAT-derived indices can be measured in a sitting posture which is more convenient to obtain; and 3) it can potentially provide longer term, continuous monitoring of the vascular function.
All Author(s) ListYali Zheng, Bryan P. Yan, James Y. W. Lau, Carmen C. Y. Poon
Name of Conference15th IEEE International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018
Start Date of Conference04/03/2018
End Date of Conference07/03/2018
Place of ConferenceLas Vegas
Country/Region of ConferenceUnited States of America
Proceedings Title2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018
Year2018
PublisherIEEE
Pages148 - 151
ISBN978-153861109-8
LanguagesEnglish-United States

Last updated on 2020-17-11 at 01:41