2018
DOI: 10.1002/cnm.3120
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Influence of ageing on human body blood flow and heat transfer: A detailed computational modelling study

Abstract: Ageing plays a fundamental role in arterial blood transport and heat transfer within a human body. The aim of this work is to provide a comprehensive methodology, based on biomechanical considerations, for modelling arterial flow and energy exchange mechanisms in the body accounting for age‐induced changes. The study outlines a framework for age‐related modifications within several interlinked subsystems, which include arterial stiffening, heart contractility variations, tissue volume and property changes, and… Show more

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Cited by 22 publications
(10 citation statements)
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References 97 publications
(208 reference statements)
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“…Parameters were changed with age, allowing the effects of aging to be investigated, and were also varied within normal ranges at each age, allowing the influences of individual parameters to be elucidated. This builds on previous work modeling changes with age (34, 39, 59, 60, 94, 114, 119).…”
Section: Discussionmentioning
confidence: 83%
“…Parameters were changed with age, allowing the effects of aging to be investigated, and were also varied within normal ranges at each age, allowing the influences of individual parameters to be elucidated. This builds on previous work modeling changes with age (34, 39, 59, 60, 94, 114, 119).…”
Section: Discussionmentioning
confidence: 83%
“…Realistic modeling of the human head in the presence of a tES setup is challenging because variation in the skin material properties, in close proximity to the electrodes, interference from hair, etc., can impact the quality of electrical contact with the skin. As one example, the electrical [ 48 ] and thermal [ 49 ] properties of human tissues are known to be age dependent. However, limited information is available for frequencies around 125 MHz because most previous studies focused on telecommunication frequency bands (500 MHz–2.5 GHz).…”
Section: Discussionmentioning
confidence: 99%
“…In order to generate the investigated data in the present work (samples of healthy adults' pulse waves, aged 25-75 years old, in ten-year increments), the input parameters of the Nektar1D were set and varied based on real value and range of cardiovascular properties with respect to age recognized on previous scientific reviews [45], [46], [47], [48], [49], [50], [51], [52], [53], [54]. The input parameters have been varied with age allowing the effects of aging to be examined, and were also varied within normal ranges at each age, permitting the influences of individual parameters to be illustrated [55], [56], [57], [58], [59], [60], [61]. It is worth noting that the adopted approach to generate the insilico database consolidates the connections between some cardiovascular input parameters, including the dependencies of left ventricular ejection time on stroke volume as well as the heart rate (HR) and the arterial stiffness on mean blood pressure and vascular geometry.…”
Section: A Pulse Wave Database For In-silico Evaluation Of Hemodynamics Determinants and Vascular Stiffness Indexesmentioning
confidence: 99%