This paper intends to investigate the feasibility of peripheral artery disease (PAD) diagnosis based on the analysis of non-invasive arterial pulse waveforms. We generated realistic …
This study presents an application of machine learning (ML) methods for detecting the presence of stenoses and aneurysms in the human arterial system. Four major forms of …
R Wéber, D Gyürki, G Paál - International Journal for Numerical …, 2023 - Wiley Online Library
Abstract Low‐dimensional (1D or 0D) models can describe the whole human blood circulation, for example, 1D distributed parameter model for the arterial network and 0D …
G Jones, J Parr, P Nithiarasu… - International Journal for …, 2021 - Wiley Online Library
This study creates a physiologically realistic virtual patient database (VPD), representing the human arterial system, for the primary purpose of studying the effects of arterial disease on …
Peripheral arterial disease (PAD) is a common circulatory disease caused by the deposition of fatty plaque on the arterial wall. Early detection and treatment of PAD are essential in …
Abstract Background and Objective The topology of the circle of Willis (CoW) is crucial in cerebral circulation and significantly impacts patient management. Incomplete CoW …
Abstract Background and Objective Acute Ischaemic Stroke (AIS), a significant global health concern, results from occlusions in cerebral arteries, causing irreversible brain damage …
A Mair, M Wisotzki, S Bernhard - Computers in Biology and Medicine, 2022 - Elsevier
Background: Data-based approaches promise to use the information in cardiovascular signals to diagnose cardiovascular diseases. Considerable effort has been undertaken in …
U Hackstein, S Bernhard - Informatics in Medicine Unlocked, 2022 - Elsevier
Digitalisation and the generation of large amounts of data from examinations and medical interventions are making an ever-increasing amount of data available, of which only a …