@inproceedings{23a9732851784ee9a791d971a9400675,
title = "Cardiovascular Risk Predictors Estimation via Carotid Tonometry and Ankle Cuff Oscillation Measurement",
abstract = "This paper reports initial results from our study on the use of non-invasive proximal and distal arterial waveforms to estimate cardiovascular risk predictors while minimizing patient discomfort. We used a pressure wave decomposition technique on carotid tonometry and ankle cuff oscillation waveforms so as to estimate pulse transit time, reflection magnitude and reflection index. We showed that the risk predictors estimated from these waveforms correlated reasonably well with those measured from carotid-femoral tonometry. The results illustrate that ankle cuff oscillation waveform may serve as a viable alternative to femoral tonometry, which requires probe contact near a patient's private area and accompanies inconvenience and discomfort.",
keywords = "ankle cuff oscillation, cardiovascular risk predictors, carotid tonometry, carotid-femoral tonometry, pressure wave decomposition, pulse transit time, reflection magnitude and index",
author = "Albert Lee and Zahra Ghasemi and Kim, {Chang Sei} and Hahn, {Jin Oh} and Ramakrishna Mukkamala and Cheng, {Hao Min} and Chen, {Chen Huan} and Sung, {Shih Hsien}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; null ; Conference date: 27-06-2016 Through 29-06-2016",
year = "2016",
month = aug,
day = "16",
doi = "10.1109/CHASE.2016.67",
language = "English",
series = "Proceedings - 2016 IEEE 1st International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "342--343",
booktitle = "Proceedings - 2016 IEEE 1st International Conference on Connected Health",
address = "United States",
}