Symbiotic electroneural and musculoskeletal framework to encode proprioception via neurostimulation: ProprioStim


Loading...

Date

2023-03-17

Publication Type

Journal Article

ETH Bibliography

yes

Citations

Altmetric

Data

Abstract

Peripheral nerve stimulation in amputees achieved the restoration of touch, but not proprioception, which is critical in locomotion. A plausible reason is the lack of means to artificially replicate the complex activity of proprioceptors. To uncover this, we coupled neuromuscular models from ten subjects and nerve histologies from two implanted amputees to develop ProprioStim: a framework to encode proprioception by electrical evoking neural activity in close agreement with natural proprioceptive activity. We demonstrated its feasibility through non-invasive stimulation on seven healthy subjects comparing it with standard linear charge encoding. Results showed that ProprioStim multichannel stimulation was felt more natural, and hold promises for increasing accuracy in knee angle tracking, especially in future implantable solutions. Additionally, we quantified the importance of realistic 3D-nerve models against extruded models previously adopted for further design and validation of novel neurostimulation encoding strategies. ProprioStim provides clear guidelines for the development of neurostimulation policies restoring natural proprioception.

Publication status

published

Editor

Book title

Journal / series

Volume

26 (3)

Pages / Article No.

106248

Publisher

Elsevier

Event

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

Organisational unit

09632 - Raspopovic, Stanisa (ehemalig) / Raspopovic, Stanisa (former) check_circle

Notes

Funding

759998 - Restoring natural feelings from missing or damaged peripheral nervous system by model-driven neuroprosthesis (EC)
197271 - Multimodal targeted neurotechnology for gait improvement and neuropathic pain suppression in diabetic neuropathy (MOVEIT) (SNF)

Related publications and datasets