Objective. Advanced robotic lower limb prostheses are mainly controlled autonomously.
Although the existing control can assist cyclic movements during locomotion of amputee …

Locomotion assistive devices equipped with a microprocessor can potentially automatically
adapt their behavior when the user is transitioning from one locomotion mode to another …

Powered intelligent lower limb prosthesis can actuate the knee and ankle joints, allowing
transfemoral amputees to perform seamless transitions between locomotion states with the …

Goal: To provide an overview of control strategies in commercial and research
microprocessor-controlled prosthetic knees (MPKs). Methods: Five commercially available …

Develo** intelligent prosthetic controllers to recognize user intent across users is a
challenge. Machine learning algorithms present an opportunity to develop methods for …

Magnetic resonance imaging (MRI) is employed in medical treatment broadly, due to the
quick development of computer technology. It is beneficial to classify the pathological brain …

Many people struggle with mobility impairments due to lower limb amputations. To
participate in society, they need to be able to walk on a wide variety of terrains, such as …

Objective: We evaluated a two-step method to improve control accuracy for a powered
prosthetic leg using machine learning and adaptation, while reducing subject training time …

The intelligent knee prosthesis is capable of human-like bionic lower limb control through
advanced control systems and artificial intelligence algorithms that will potentially minimize …

More versatile, user-independent tools for recognizing and predicting locomotion modes
(LMs) and LM transitions (LMTs) in natural gaits are still needed. This study tackles these …