HEDI: First-Time Clinical Application and Results of a Biomechanical Evaluation and Visualisation Tool for Incisional Hernia Repair [PDF]
Abdominal wall defects often lead to pain, discomfort, and recurrence of incisional hernias, resulting in significant morbidity and repeated surgical repairs worldwide. Mesh repair for large hernias is usually based on the defect area with a fixed overlap, neglecting biomechanical factors such as muscle activation, intra-abdominal pressure, tissue ...
arxiv
An electromyographic validation of an abdominal muscle test
A recently developed abdominal muscle test (AMT), using four levels of difficulty to assess abdominal muscle strength, was validated by examination of the functional interrelationship between the individual muscles during the AMT, and by determining the relationship between the AMT level of difficulty and electromyographical (EMG) activity.
Gilleard, Wendy L, Brown, J MM
openaire +3 more sources
Longitudinal Variability Analysis on Low-dose Abdominal CT with Deep Learning-based Segmentation [PDF]
Metabolic health is increasingly implicated as a risk factor across conditions from cardiology to neurology, and efficiency assessment of body composition is critical to quantitatively characterizing these relationships. 2D low dose single slice computed tomography (CT) provides a high resolution, quantitative tissue map, albeit with a limited field of
arxiv
Comp2Comp: Open-Source Body Composition Assessment on Computed Tomography [PDF]
Computed tomography (CT) is routinely used in clinical practice to evaluate a wide variety of medical conditions. While CT scans provide diagnoses, they also offer the ability to extract quantitative body composition metrics to analyze tissue volume and quality.
arxiv
Automated segmentation of 3-D body composition on computed tomography [PDF]
Purpose: To develop and validate a computer tool for automatic and simultaneous segmentation of body composition depicted on computed tomography (CT) scans for the following tissues: visceral adipose (VAT), subcutaneous adipose (SAT), intermuscular adipose (IMAT), skeletal muscle (SM), and bone.
arxiv
Body Fat Estimation from Surface Meshes using Graph Neural Networks [PDF]
Body fat volume and distribution can be a strong indication for a person's overall health and the risk for developing diseases like type 2 diabetes and cardiovascular diseases. Frequently used measures for fat estimation are the body mass index (BMI), waist circumference, or the waist-hip-ratio.
arxiv
The The abdominal muscles – a functional review
The role of the abdominal muscles in human function as wellas their physiological mechanisms for these has been the subject of an increasing volume of reported research for more than 20 years. The abdominal muscles participate in a wide range of diverse functional tasks.These include breathing, postural stability, expulsive maneuvers and speech control.
openaire +4 more sources
Neck and abdominal muscle activity during a sniff [PDF]
Measurement of sniff nasal inspiratory pressure (SNIP) is now used widely as a simple, non-invasive assessment of global respiratory muscle strength, even though the technique evolved originally from measurements of trans-diaphragmatic pressure (Pdi) that reflect the status of the diaphragm.
Masanori Yokoba+5 more
openaire +3 more sources
The Relationship of Abdominal Muscles Balance and Body Balance [PDF]
This study aimed to identify what impact the thickness differences between the leftside and rightside transversus abdominis (TrA), internal obliquus (IO) and external obliquus (EO) have on balance ability in the abdominal drawing-in maneuver (ADIM) and resting postures. [Subjects and Methods] In this study, 41 young adults were asked to adopt a resting
Dong-Kwon Seo+5 more
openaire +2 more sources
Mathematical framework for abdominal electrical impedance tomography to assess fatness [PDF]
This paper presents a static electrical impedance tomography (EIT) technique that evaluates abdominal obesity by estimating the thickness of subcutaneous fat. EIT has a fundamental drawback for absolute admittivity imaging because of its lack of reference data for handling the forward modeling errors. To reduce the effect of boundary geometry errors in
arxiv