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The Analysis of PPG Time Indices to Predict Aging and Atherosclerosis

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Intelligent Computing Paradigm and Cutting-edge Technologies (ICICCT 2019)

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 9))

Abstract

This paper aims to investigate the effects of age on systolic and diastolic peaks times. Two indices from PPG waveform were extracted to analyze the variations of systolic and diastolic peaks time as we age. The study focused on two main groups (less than or equals to 40 years, and more than 40 years old). The study showed an inverse relationship between age and diastolic peak time (DpTime) index in which it tends to be decreased as we age. On the other hand, the systolic peak time (SpTime) index tends to be increased as we age. These findings declared the progress of arterial stiffness and atherosclerosis with aging. The more we age, the more our arteries become stiffen.

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Correspondence to Yousef K. Qawqzeh .

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Qawqzeh, Y.K. (2020). The Analysis of PPG Time Indices to Predict Aging and Atherosclerosis. In: Jain, L., Peng, SL., Alhadidi, B., Pal, S. (eds) Intelligent Computing Paradigm and Cutting-edge Technologies. ICICCT 2019. Learning and Analytics in Intelligent Systems, vol 9. Springer, Cham. https://doi.org/10.1007/978-3-030-38501-9_22

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