Clinical Studies and Research

Journey into Discovery

Latest publications

Aug 2019

Modeling, Design and Test-Bench Validation of a Semi-Active Propulsive Ankle Prosthesis ...

Explore innovative semi-active ankle prosthesis design integrating a clutch with series elastic actuator for energy-efficient gait dynamics. Read our validation

Convens, Bryan ; Dong, Dianbiao ; Furnémont, Raphaël ; Verstraten, Tom ; Cherelle, Pierre ; Lefeber, Dirk ; Vanderborght, Bram

Scientific Articles

Aug 2019

Cognitive performance and brain dynamics during walking with a novel bionic foot: A pilot study

Explore neural dynamics during walking with a bionic foot. Investigate attentional demand in able-bodied & amputee individuals. Results reveal insights.

De Pauw, K., Cherelle, P., Tassignon, B., Van Cutsem, J., Roelands, B., Marulanda, F.G., Lefeber, D., Vanderborght, B., Meeusen, R.

Clinical Studies

Jul 2019

Prosthetic gait of unilateral transtibial amputees with current and novel prostheses

Evaluate the AMPfoot 4.0 for unilateral transtibial amputees' gait. Discover its impact on kinetics & kinematics compared to conventional prostheses.

De Pauw, Kevin ; Serrien, Ben ; Baeyens, Jean-Pierre ; Cherelle, Pierre ; De Bock, Sander ; Ghillebert, Jo ; Lefeber, Dirk ; Roelands, Bart ; Vanderborght, Bram ; Meeusen, Romain.

Scientific Articles

Dec 2018

Effects of variable mechanical parameters on peak power and energy consumption of ankle-foot prostheses ...

Discover how varying mechanical parameters impact peak power and energy use in ankle-foot prostheses at different speeds. Optimize your prosthetic design.

Dong, Dianbiao ; Convens, Bryan ; Sun, Yuanxi ; Ge, Wenjie ; Cherelle, Pierre ; Vanderborght, Bram.

Scientific Articles

Oct 2018

The efficacy of the AMP Foot prototype 4.0 during walking: Physiological determinants

Evaluate the effectiveness of the Ankle Mimicking Prosthetic Foot 4.0 during walking. Study on transtibial and transfemoral amputees. Clinical relevance

De Pauw, Kevin ; Cherelle, Pierre ; Roelands, Bart ; Lefeber, Dirk ; Meeusen, Romain

Scientific Articles

Jul 2018

ED-FNN: A new deep learning algorithm to detect percentage of the gait cycle for powered prostheses

Introducing ED-FNN, a novel deep learning algorithm for precise gait cycle detection in powered prostheses. Achieve accuracy and safety in rehabilitation

Huong, Vu Thi Thu ; Gomez Marulanda, Felipe ; Cherelle, Pierre ; Lefeber, Dirk ; Nowe, Ann ; Vanderborght, Bram.

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