Novel control strategies for upper limb prosthetics

Ivan Vujaklija*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2 Citations (Scopus)

Abstract

Robotic manipulators can be controlled in an autonomous way with great precision and dexterity. At the same time they can be equipped with sensors capable of conveying highly precise information on the surroundings, many times superior to that of a human sensory system. However, our limited capacity of interfacing these robots with the human body makes current prosthetic systems to be perceived by the users as simple tools rather than limbs. After decades of developments, osseointegration, selective nerve transfers, and nerve electrodes for sensory feedback have all been clinically tested in humans and are opening a new gateway for implementation of novel control strategies. Here, an overview of the most promising myocontrol and myoelectric signal processing technics to pave the way to longer-term visions of true limb replacement are presented.

Original languageEnglish
Title of host publicationProceedings of the 4th International Conference on NeuroRehabilitation, ICNR 2018
Subtitle of host publicationConverging Clinical and Engineering Research on Neurorehabilitation III
EditorsLorenzo Masia, Silvestro Micera, Metin Akay, Jose L. Pons
PublisherSPRINGER
Pages171-174
Number of pages4
ISBN (Electronic)978-3-030-01845-0
ISBN (Print)978-3-030-01844-3
DOIs
Publication statusPublished - 1 Jan 2019
MoE publication typeA4 Article in a conference publication
EventInternational Conference on NeuroRehabilitation - Pisa, Italy
Duration: 16 Oct 201820 Oct 2018
Conference number: 4

Publication series

NameBiosystems and Biorobotics
PublisherSpringer
Number21
ISSN (Print)2195-3562
ISSN (Electronic)2195-3570

Conference

ConferenceInternational Conference on NeuroRehabilitation
Abbreviated titleICNR
Country/TerritoryItaly
CityPisa
Period16/10/201820/10/2018

Keywords

  • post-stroke rehabilitation
  • activity-dependent plasticity
  • motor control task
  • biofeedback in rehabilitation
  • personalized musculoskeletal modeling

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