AI Medical Compendium Journal:
Computer methods in biomechanics and biomedical engineering

Showing 91 to 95 of 95 articles

Effect of body weight support variation on muscle activities during robot assisted gait: a dynamic simulation study.

Computer methods in biomechanics and biomedical engineering
BACKGROUND AND OBJECTIVES: While body weight support (BWS) intonation is vital during conventional gait training of neurologically challenged subjects, it is important to evaluate its effect during robot assisted gait training. In the present researc...

Human upper-limb force capacities evaluation with robotic models for ergonomic applications: effect of elbow flexion.

Computer methods in biomechanics and biomedical engineering
The aim of this study was to apply models derived from the robotics field to evaluate the human upper-limb force generation capacity. Four models were compared: the force ellipsoid (FE) and force polytope (FP) based on unit joint torques and the scal...

A new training algorithm using artificial neural networks to classify gender-specific dynamic gait patterns.

Computer methods in biomechanics and biomedical engineering
The aim of this study was to present a new training algorithm using artificial neural networks called multi-objective least absolute shrinkage and selection operator (MOBJ-LASSO) applied to the classification of dynamic gait patterns. The movement pa...

Combining extreme learning machines using support vector machines for breast tissue classification.

Computer methods in biomechanics and biomedical engineering
In this paper, we present a new approach for breast tissue classification using the features derived from electrical impedance spectroscopy. This method is composed of a feature extraction method, feature selection phase and a classification step. Th...

Multimodal sentiment analysis leveraging the strength of deep neural networks enhanced by the XGBoost classifier.

Computer methods in biomechanics and biomedical engineering
Multimodal sentiment analysis, an increasingly vital task in the realms of natural language processing and machine learning, addresses the nuanced understanding of emotions and sentiments expressed across diverse data sources. This study presents the...