Full-field in vivo experimental study of the strains of a breathing human abdominal wall with intra-abdominal pressure variation [PDF]
Journal of the Mechanical Behavior of Biomedical Materials, Volume
147, November 2023, 106148, 2023 The presented study aims to assess the mechanical behaviour of the anterior abdominal wall based on an in vivo experiment on humans. Full-field measurement of abdominal wall displacement during changes of intra-abdominal pressure is performed using a digital image correlation (DIC) system.
arxiv +1 more source
A novel in vivo approach to assess strains of the human abdominal wall under known intraabdominal pressure [PDF]
Journal of the Mechanical Behavior of Biomedical Materials, 125
(2022) 104902, 2021 The study concerns mechanical behaviour of a living human abdominal wall. A better mechanical understanding of a human abdominal wall and recognition of its material properties is required to find mechanically compatible surgical meshes to significantly improve the treatment of ventral hernias.
arxiv +1 more source
Computational modelling of peritoneal dialysis: an overview [PDF]
, 2023 Peritoneal dialysis (PD) is becoming more popular as a result of a rising interest in home dialysis, lower intrusion in social life and longer preservation of residual kidney function. However, PD has several important drawbacks: small solute clearance is relatively low compared to hemodialysis and technique survival is limited.
arxiv +1 more source
In situ monitoring of block copolymer self-assembly through controlled dialysis with light and neutron scattering detection [PDF]
ACS Macro Letters, 2023, 12 (9), pp.1272-1279, 2023 Solution self-assembly of amphiphilic block copolymers (BCs) is typically performed by a solvent-to-water exchange. However, BC assemblies are often trapped in metastable states depending on the mixing conditions such as the magnitude and rate of water addition.
arxiv +1 more source
Capacity Planning for Effective Cohorting of Dialysis Patients during the Coronavirus Pandemic: A Case Study [PDF]
European Journal of Operational Research (2021), 2021 Chronic dialysis patients have been among the most vulnerable groups of the society during the coronavirus (COVID-19) pandemic as they need regular treatments in a hospital environment, facing infection risk. Moreover, the demand for dialysis resources has significantly increased since many COVID-19 patients need acute dialysis due to kidney failure ...
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A mathematical model for fluid-glucose-albumin transport in peritoneal dialysis [PDF]
Int. J. Appl. Math.Comp.Sci. vol. 24 (2014) P. 837-851, 2013 A mathematical model for fluid and solute transport in peritoneal dialysis is constructed. The model is based on a three-component nonlinear system of two-dimensional partial differential equations for fluid, glucose and albumin transport with the relevant boundary and initial conditions.
arxiv +1 more source
Metabolite Characterization in Peritoneal Dialysis Effluent Using High-resolution 1H and 1H-13C NMR Spectroscopy [PDF]
, 2014 Metabolite analysis of peritoneal dialysis (PD) effluent may provide information regarding onset and progression of complications associated with prolonged PD therapy. In this context, the NMR detectable small metabolites of PD effluent samples were characterized using high resolution 1H and 1H-13C NMR spectroscopy.
arxiv +1 more source
Mortality Prediction with Adaptive Feature Importance Recalibration for Peritoneal Dialysis Patients: a deep-learning-based study on a real-world longitudinal follow-up dataset [PDF]
arXiv, 2023 Objective: Peritoneal Dialysis (PD) is one of the most widely used life-supporting therapies for patients with End-Stage Renal Disease (ESRD). Predicting mortality risk and identifying modifiable risk factors based on the Electronic Medical Records (EMR) collected along with the follow-up visits are of great importance for personalized medicine and ...
arxiv
Classification of Stress via Ambulatory ECG and GSR Data [PDF]
EMBC 2022 Compwell Workshop, 2022 In healthcare, detecting stress and enabling individuals to monitor their mental health and wellbeing is challenging. Advancements in wearable technology now enable continuous physiological data collection. This data can provide insights into mental health and behavioural states through psychophysiological analysis.
arxiv
Development of a Deep Learning System for Intra-Operative Identification of Cancer Metastases [PDF]
arXiv, 2023 For several cancer patients, operative resection with curative intent can end up in early recurrence of the cancer. Current limitations in peri-operative cancer staging and especially intra-operative misidentification of visible metastases is likely the main reason leading to unnecessary operative interventions in the affected individuals.
arxiv