AI Medical Compendium Journal:
Medical engineering & physics

Showing 51 to 60 of 110 articles

Joint mechanical properties estimation with a novel EMG-based knee rehabilitation robot: A machine learning approach.

Medical engineering & physics
Joint dynamic properties play essential roles in a wide range of biomechanical movement control. This paper develops a device with a novel mechatronic design to apply small-amplitude perturbations to the human knee. Surface Electromyography is employ...

Position-based dynamics simulator of vessel deformations for path planning in robotic endovascular catheterization.

Medical engineering & physics
A major challenge during autonomous navigation in endovascular interventions is the complexity of operating in a deformable but constrained workspace with an instrument. Simulation of deformations for it can provide a cost-effective training platform...

Computer assisted identification of stress, anxiety, depression (SAD) in students: A state-of-the-art review.

Medical engineering & physics
Stress, depression, and anxiety are a person's physiological states that emerge from various body features such as speech, body language, eye contact, facial expression, etc. Physiological emotion is a part of human life and is associated with psycho...

Comparison of CT noise reduction performances with deep learning-based, conventional, and combined denoising algorithms.

Medical engineering & physics
Conventional noise reduction algorithms have been used in image processing for a very long time, but recently, deep learning-based algorithms have been shown to significantly reduce the noise in CT images. In this paper, a comparison of CT noise redu...

A novel combined deep learning methodology to non-invasively estimate hemoglobin levels in blood with high accuracy.

Medical engineering & physics
Hemoglobin is an essential protein found in blood and should not fall below a certain level in humans. Today's methods of hemoglobin measurement are mostly invasive. This study aims to perform a non-invasive estimation of hemoglobin levels using age,...

Novel neural network model for predicting susceptibility of facial post-inflammatory hyperpigmentation.

Medical engineering & physics
BACKGROUND: To construct a neural network model (ATBP) for predicting susceptibility to Post-inflammatory hyperpigmentation (PIH), which is a rapid, objective, and reliable decision-support method before physical and chemical interventions in dermato...

Exemplar deep and hand-modeled features based automated and accurate cerebral hemorrhage classification method.

Medical engineering & physics
BACKGROUND: Cerebral hemorrhage (CH) is a commonly seen disease, and an accurate diagnosis of the type of CH is a very crucial step in treatment. Therefore, CH requires a prompt and accurate diagnosis. To simplify this process, an accurate CH classif...

Decoding finger movement patterns from microscopic neural drive information based on deep learning.

Medical engineering & physics
Recent development of surface electromyogram (sEMG) decomposition technique provides a good basis of decoding movements from individual motor unit (MU) activities that directly representing microscopic neural drives. How to interpret the function and...

Modeling of the dynamics of vascular embolization by using porous media for the design of injection robots of embolic agents.

Medical engineering & physics
Embolization is the prevailing therapy for tumor-targeting, anti-organ hyperfunction, and hemostasis. However, the injection of embolic agents largely depends on the experiences of doctors as assisted by X-ray, which will negate the health of the doc...

Screening of factors influencing catheter rotation of a vascular interventional surgical robot using design of experiment approach.

Medical engineering & physics
Over the past decades, Vascular Interventional Surgery Robots (VISR) have been developed to address the risks associated with X-rays used in minimally invasive vascular surgery procedures. Manipulation of over-the-wire catheters is necessary to perfo...