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Biomechanical Phenomena

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Soft pneumatic actuators for mimicking multi-axial femoropopliteal artery mechanobiology.

Biofabrication
Tissue biomanufacturing aims to produce lab-grown stem cell grafts and biomimetic drug testing platforms but remains limited in its ability to recapitulate native tissue mechanics. The emerging field of soft robotics aims to emulate dynamic physiolog...

A gecko-inspired robot with CPG-based neural control for locomotion and body height adaptation.

Bioinspiration & biomimetics
Today's gecko-inspired robots have shown the ability of omnidirectional climbing on slopes with a low centre of mass. However, such an ability cannot efficiently cope with bumpy terrains or terrains with obstacles. In this study, we developed a gecko...

Performance of Deep Learning Models in Forecasting Gait Trajectories of Children with Neurological Disorders.

Sensors (Basel, Switzerland)
Forecasted gait trajectories of children could be used as feedforward input to control lower limb robotic devices, such as exoskeletons and actuated orthotic devices (e.g., Powered Ankle Foot Orthosis-PAFO). Several studies have forecasted healthy ga...

3D-SLIP model based dynamic stability strategy for legged robots with impact disturbance rejection.

Scientific reports
Inspired by biomechanical studies, the spring-loaded inverted pendulum model is an effective behavior model to describe the running movement of animals and legged robots in the sagittal plane. However, when confronted with external lateral disturbanc...

Transfer of learned dynamics between different surgical robots and operative configurations.

International journal of computer assisted radiology and surgery
PURPOSE: Using the da Vinci Research Kit (dVRK), we propose and experimentally demonstrate transfer learning (Xfer) of dynamics between different configurations and robots distributed around the world. This can extend recent research using neural net...

A Deep Learning Method for Foot Progression Angle Detection in Plantar Pressure Images.

Sensors (Basel, Switzerland)
Foot progression angle (FPA) analysis is one of the core methods to detect gait pathologies as basic information to prevent foot injury from excessive in-toeing and out-toeing. Deep learning-based object detection can assist in measuring the FPA thro...

Development of a Prototype Overground Pelvic Obliquity Support Robot for Rehabilitation of Hemiplegia Gait.

Sensors (Basel, Switzerland)
In this work, we present the overground prototype gait-rehabilitation robot for using motion assistance and training for paralyzed patients. In contrast to the existing gait-rehabilitation robots, which focus on the sagittal plane motion of the hip a...

Lower-Limb Joint Torque Prediction Using LSTM Neural Networks and Transfer Learning.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Estimation of joint torque during movement provides important information in several settings, such as effect of athletes' training or of a medical intervention, or analysis of the remaining muscle strength in a wearer of an assistive device. The abi...

John Charnley Award: Deep Learning Prediction of Hip Joint Center on Standard Pelvis Radiographs.

The Journal of arthroplasty
BACKGROUND: Accurate hip joint center (HJC) determination is critical for preoperative planning, intraoperative execution, clinical outcomes after total hip arthroplasty, and commonly used classification systems in primary and revision hip replacemen...

Fast Kinematic Re-Calibration for Industrial Robot Arms.

Sensors (Basel, Switzerland)
Accurate kinematic modelling is pivotal in the safe and reliable execution of both contact and non-contact robotic applications. The kinematic models provided by robot manufacturers are valid only under ideal conditions and it is necessary to account...