Neural feedback strategies to improve grasping coordination in neuromusculoskeletal prostheses
Journal article, 2020

Conventional prosthetic arms suffer from poor controllability and lack of sensory feedback. Owing to the absence of tactile sensory information, prosthetic users must rely on incidental visual and auditory cues. In this study, we investigated the effect of providing tactile perception on motor coordination during routine grasping and grasping under uncertainty. Three transhumeral amputees were implanted with an osseointegrated percutaneous implant system for direct skeletal attachment and bidirectional communication with implanted neuromuscular electrodes. This neuromusculoskeletal prosthesis is a novel concept of artificial limb replacement that allows to extract control signals from electrodes implanted on viable muscle tissue, and to stimulate severed afferent nerve fibers to provide somatosensory feedback. Subjects received tactile feedback using three biologically inspired stimulation paradigms while performing a pick and lift test. The grasped object was instrumented to record grasping and lifting forces and its weight was either constant or unexpectedly changed in between trials. The results were also compared to the no-feedback control condition. Our findings confirm, in line with the neuroscientific literature, that somatosensory feedback is necessary for motor coordination during grasping. Our results also indicate that feedback is more relevant under uncertainty, and its effectiveness can be influenced by the selected neuromodulation paradigm and arguably also the prior experience of the prosthesis user.

Author

Enzo Mastinu

Bionic

Center for Bionics and Pain Research

Leonard F. Engels

Sant'Anna School of Advanced Studies (SSSUP)

F. Clemente

Prensilia SRL

Sant'Anna School of Advanced Studies (SSSUP)

Mariama Dione

University of Gothenburg

Paolo Sassu

Sahlgrenska University Hospital

Oskar C. Aszmann

Medical University of Vienna

Rickard Brånemark

University of Gothenburg

MIT Media Laboratory

Bo Håkansson

Chalmers, Electrical Engineering, Signal Processing and Biomedical Engineering, Biomedical Signals and Systems

Marco Controzzi

Sant'Anna School of Advanced Studies (SSSUP)

Johan Wessberg

University of Gothenburg

C. Cipriani

Sant'Anna School of Advanced Studies (SSSUP)

Max Jair Ortiz Catalan

Bionic

Center for Bionics and Pain Research

University of Gothenburg

Sahlgrenska University Hospital

Scientific Reports

2045-2322 (ISSN)

Vol. 10 1 11793

Subject Categories

Other Medical Engineering

Physiology

Control Engineering

DOI

10.1038/s41598-020-67985-5

More information

Latest update

9/1/2020 1