Literature DB >> 28237937

Investigation of Viscoelasticity in the Relationship Between Carotid Artery Blood Pressure and Distal Pulse Volume Waveforms.

Jongchan Lee, Zahra Ghasemi, Chang-Sei Kim, Hao-Min Cheng, Chen-Huan Chen, Shih-Hsien Sung, Ramakrishna Mukkamala, Jin-Oh Hahn.   

Abstract

We investigated the relationship between carotid artery blood pressure (BP) and distal pulse volume waveforms (PVRs) via subject-specific mathematical modeling. We conceived three physical models to define the relationship: a tube-load model augmented with a gain (TLG), Voigt (TLV), and standard linear solid (TLS) models. We compared these models using PVRs measured via BP cuffs at an upper arm and an ankle as well as carotid artery tonometry waveform collected from 133 subjects. At both upper arm and ankle, PVR was related to carotid artery tonometry by TLV and TLS models better than by TLG model; when root-mean-squared over all the subjects, the systolic and diastolic BP errors between measured carotid artery tonometry waveform and the one estimated from distal PVR reduced from 4.3 mmHg and 4.6 mmHg (TLG) to 1.1 mmHg and 1.0 mmHg (TLS) for the upper arm (p < 0.0167), and from 2.1 mmHg and 1.7 mmHg (TLG) to 2.1 mmHg and 1.5 mmHg (TLV) for the ankle. Further, TLV and TLS models exhibited superior Akaike's Information Criterion (AIC) in both locations than TLG model. However, the difference between TLG versus TLV and TLS models associated with the ankle was not large. Therefore, the relationship of central arterial BP to arm PVR arises from both wave reflection and viscoelasticity while the relationship to ankle PVR mainly arises from wave reflection. These findings may imply that an effective subject-specific transfer function for estimating accurate central arterial BP from an arm PVR should account for the impact of viscoelasticity.

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Year:  2017        PMID: 28237937     DOI: 10.1109/JBHI.2017.2672899

Source DB:  PubMed          Journal:  IEEE J Biomed Health Inform        ISSN: 2168-2194            Impact factor:   5.772


  3 in total

1.  Central Blood Pressure Monitoring via a Standard Automatic Arm Cuff.

Authors:  Keerthana Natarajan; Hao-Min Cheng; Jiankun Liu; Mingwu Gao; Shih-Hsien Sung; Chen-Huan Chen; Jin-Oh Hahn; Ramakrishna Mukkamala
Journal:  Sci Rep       Date:  2017-10-31       Impact factor: 4.379

2.  Detection and Severity Assessment of Peripheral Occlusive Artery Disease via Deep Learning Analysis of Arterial Pulse Waveforms: Proof-of-Concept and Potential Challenges.

Authors:  Sooho Kim; Jin-Oh Hahn; Byeng Dong Youn
Journal:  Front Bioeng Biotechnol       Date:  2020-06-30

3.  Estimation of Cardiovascular Risk Predictors from Non-Invasively Measured Diametric Pulse Volume Waveforms via Multiple Measurement Information Fusion.

Authors:  Zahra Ghasemi; Jong Chan Lee; Chang-Sei Kim; Hao-Min Cheng; Shih-Hsien Sung; Chen-Huan Chen; Ramakrishna Mukkamala; Jin-Oh Hahn
Journal:  Sci Rep       Date:  2018-07-11       Impact factor: 4.379

  3 in total

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