Building an internal model of a myoelectric prosthesis via closed-loop control for consistent and routine grasping

2015/03/24 by Strahinja Dosen, Strahinja Došen, Marko Marković +7 · 9 citations
Engineering · Neuroscience · #Muscle activation and electromyography studies #Motor Control and Adaptation #EEG and Brain-Computer Interfaces

paper · doi:10.1007/s00221-015-4257-1

Citations

• Internal models of upper limb prosthesis users when grasping and lifting a fragile object with their prosthetic limb

Cited by

• Tactile feedback is an effective instrument for the training of grasping with a prosthesis at low- and medium-force levels
• Joint-based velocity feedback to virtual limb dynamic perturbations. [europepmc]
• Myocontrol is closed-loop control: incidental feedback is sufficient for scaling the prosthesis force in routine grasping. [europepmc]
• Grip control and motor coordination with implanted and surface electrodes while grasping with an osseointegrated prosthetic hand. [europepmc]
• Optimization of Semiautomated Calibration Algorithm of Multichannel Electrotactile Feedback for Myoelectric Hand Prosthesis. [europepmc]
• A Review of Sensory Feedback in Upper-Limb Prostheses From the Perspective of Human Motor Control. [europepmc]
• Neural feedback strategies to improve grasping coordination in neuromusculoskeletal prostheses. [europepmc]
• EMG feedback outperforms force feedback in the presence of prosthesis control disturbance. [europepmc]
• Application of EMG feedback for hand prosthesis control in high-level amputation: a case study. [europepmc]