Posturography Platform and Balance Control Training and Research System Based on FES and Muscle Synergies. / Galeano Galeano, Diego; Brunetti, Fernando; Torricelli, Diego; Piazza, Stefano; Pons, Jose Luis.

Neurotechnology, Electronics, and Informatics. ed. / Ana Rita Londral; Pedro Encarnação; Jose Luis Pons Rovira. Vol. 13 Springer-Verlag, 2013. ( Springer Series in Computational Neuroscience; Vol. 13).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Published

Abstract

Balance control plays a key role in neuromotor rehabilitation after stroke or spinal cord injuries. Computerized Dynamic Posturography (CDP) is a classic tool to assess the status of balance control and to identify potential disorders. In this paper, we present the development of a low cost system and tool for the assessment and training of balance based on static posturography and functional electrical stimulation (FES). The assessment features are built upon a classic a CDP basis, while for training routines, the system uses bioinspired FES patterns and algorithms based on muscle synergies. This system includes low cost technology like the Wii Fit Balance Board and the Kinect. The work described is this paper includes the implementation of the system and first results as a CDP tool.
Original languageEnglish
Title of host publicationNeurotechnology, Electronics, and Informatics
EditorsAna Rita Londral, Pedro Encarnação, Jose Luis Pons Rovira
PublisherSpringer-Verlag
Volume13
ISBN (Electronic)978-3-319-15997-3
ISBN (Print)978-3-319-15996-6
Publication statusPublished - 2013
EventInternational Congress on Neurotechnology, Electronics and Informatics - Vilamoura, Algarve, Algarve, Portugal
Duration: 18 Sep 201320 Sep 2013
http://www.neurotechnix.org/Home.aspx?y=2013

Publication series

Name Springer Series in Computational Neuroscience
PublisherSpringer-Verlag
Volume13
ISSN (Print)2197-1900
ISSN (Electronic)2197-1919

Conference

ConferenceInternational Congress on Neurotechnology, Electronics and Informatics
CountryPortugal
CityAlgarve
Period18/09/1320/09/13
Internet address

ID: 33587700