To develop and evaluate new methods for EMG control, sensory feedback and efficient actuation of lower limb prostheses.
Current intelligent leg prostheses are not directly controlled by neural signals from the body, give insufficient information about the state of the artificial leg.
Supplementary sensory feedback using an electrocutaneous interface
EMG measurement of the stump muscles.
Evaluate detection performance of deviating knee angle patterns using an electrocutaneous interface.
Development of continuously controllable and efficient actuators for lower limb prostheses.
EMG can be measured from stump muscles after transfemoral amputation.
Habituation of electrocutaneous feedback is reduced by intermittent stimulation.
Transfemoral amputees are able to assess static knee angle using a electrocutaneous interface which give feedback of knee angle.
From Neural Circuit Behaviour to Human Sensory-Motor Function
Principal Investigator tracks
Peter H. Veltink: Sensing and Control of Human Movement
Edsko Hekman (Biomechanical Engineering)
Marc Nederhand (RRD)