MUNDUS project: MUltimodal Neuroprosthesis for daily Upper limb Support

Wireless wearable controller for upper-limb neuroprosthesis.

The objective of this project was to develop a wireless, wearable joint angle transducer to enable proportional control of an upper-limb neuroprosthesis by wrist position. Implanted neuroprostheses use functional electrical stimulation to provide hand grasp to individuals with tetraplegia. Wrist position is advantageous for control because it augments the tenodesis grasp and can be implemented ...

Integration of an EMG-based NMES controller with a passive exoskeleton to support daily upper limb activities

MUNDUS is an assistive framework for recovering interaction capability of severely impaired people based on upper limb motor functions. Within this project, the present work aimed at integrating a commercial passive exoskeleton for weight support with an EMG-controlled neuroprosthesis for hand-to-mouth movements. Being the stimulated muscle the same from which the EMG was measured, first it was...

Feedback control of arm movements for a hybrid assistive system to support daily upper limb activities

T. Schauer, C. Klauer, J. Karner, W. Reichenfelser, M. Gföhler, E. Ambrosini, S. Ferrante, S. Zwicker, A. Pedrocchi Technische Universität Berlin, Control Systems Group, Berlin, Germany Vienna University of Technology, RG for Machine Design and Rehabilitation, Vienna, Austria Neuroengineering and medical robotics Laboratory (NearLab), Politecnico di Milano, Milan, Italy Hocoma AG, Volketswil, S...

Developing a Brain- Machine Interface for Dexterous Control of an Upper-limb Neuroprosthesis

A Brain-Machine Interface (BMI) uses electrophysiological measures of brain activity to communicate with external devices, bypassing normal neuromuscular pathways. Earlier research has demonstrated the robust coding capacity of neural activity for gross motor movements such as hand and arm trajectory, and opened up the possibility of a BMI for direct neural control of a prosthetic limb and the ...

Developing a Brain-Computer Interface for Control of an Upper-Limb Neuroprosthesis