A non-optimal prosthesis integration into an amputee's body schema suggests some
important functional and health consequences after lower limb amputation. These include …

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

Objective. Lower-limb amputees suffer from a variety of health problems, including higher
metabolic consumption and low mobility. These conditions are linked to the lack of a natural …

Background This study presented the load profile applied on transfemoral osseointegrated
implants by bone-anchored prostheses fitted with state-of-the-art ÖSSUR microprocessor …

User customization of a lower-limb powered Prosthesis controller remains a challenge to
this date. Controllers adopting impedance control strategies mandate tedious tuning for …

The prosthetic knee is one of the most important parts used in manufacturing of the above
knee prostheses limb and it is considered the most important component. Accordingly, it …

For amputees, walking on sloped surfaces is one of the most challenging tasks in their daily
lives. Unfortunately, designing a prosthesis that can effectively adapt to varying terrain is an …

Introduction Powered prostheses are a promising new technology that may help people with
lower-limb loss improve their ability to perform locomotion tasks. Developing active …

This proof of concept study presents a method to collect and analyse kinetic data from one
participant with a transfemoral amputation fitted with a percutaneous osseointegrated …

Dynamically altering the parameters for assistance in a lower limb prosthesis is a challenge
that depends directly on the ability to estimate gait parameters. Machine learning algorithms …