Literature DB >> 21097163

Wireless distributed architecture for therapeutic functional electrical stimulation: a technology to design network-based muscle control.

Mickael Toussaint1, David Andreuy, Philippe Fraisse, David Guiraudy.   

Abstract

This paper presents a distributed Functional Electrical Stimulation architecture based on a wireless network, for therapeutic training of disabled patients. On this distributed architecture, a global controller can pilot a set of stimulation and acquisition units and modify dynamically stimulation and acquisition parameters. This solution intend to be a tool for researchers and therapist to develop closed-loop control algorithms and strategies for therapeutic rehabilitation applications with external FES, in a clinical context. In a wireless networkbased control, the variable delay introduced by the network must be taken into account to ensure the stability of the closed loop. Thus, in order to characterize the medium on which the control is performed, we carried out accurate measurements of the architecture performances (stack-crossing, round-trip time, etc.).

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Year:  2010        PMID: 21097163     DOI: 10.1109/IEMBS.2010.5627724

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  4 in total

1.  Wireless distributed functional electrical stimulation system.

Authors:  Nenad S Jovičić; Lazar V Saranovac; Dejan B Popović
Journal:  J Neuroeng Rehabil       Date:  2012-08-09       Impact factor: 4.262

2.  Evoked Electromyographically Controlled Electrical Stimulation.

Authors:  Mitsuhiro Hayashibe
Journal:  Front Neurosci       Date:  2016-07-14       Impact factor: 4.677

3.  A Hybrid Functional Electrical Stimulation for Real-Time Estimation of Joint Torque and Closed-Loop Control of Muscle Activation.

Authors:  Zhan Li; David Guiraud; David Andreu; Charles Fattal; Anthony Gelis; Mitsuhiro Hayashibe
Journal:  Eur J Transl Myol       Date:  2016-06-13

4.  Real-time estimation of FES-induced joint torque with evoked EMG : Application to spinal cord injured patients.

Authors:  Zhan Li; David Guiraud; David Andreu; Mourad Benoussaad; Charles Fattal; Mitsuhiro Hayashibe
Journal:  J Neuroeng Rehabil       Date:  2016-06-22       Impact factor: 4.262

  4 in total

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