Literature DB >> 14518788

The development of a potential optimized stimulation intensity envelope for drop foot applications.

Derek T O'Keeffe1, Alan E Donnelly, Gerard M Lyons.   

Abstract

An optimized stimulation intensity envelope for use in hemiplegic drop foot applications has been developed. The traditional trapezoidal stimulation intensity approach has been examined and found to be inconsistent with the muscle activity patterns observed in healthy gait and therefore unsuitable. Experimental functional electrical stimulation (FES)-elicited tibialis anterior (TA) electromyography (EMG) data was taken over the ankle range of interest (occurring during active dorsiflexion and loading response) while also taking into account the type of TA muscle contraction occurring (concentric, eccentric, and isometric) and the speed of hemiplegic ankle joint rotation. Using the processed data, a model of normalized EMG versus pulsewidth was developed. Implementation of this model showed the unsuitability of the trapezoidal approach in the reproducing of a natural EMG profile. An optimized stimulation intensity profile is proposed which is expected to accurately reproduce the natural TA EMG profile during gait.

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Year:  2003        PMID: 14518788     DOI: 10.1109/TNSRE.2003.817678

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  9 in total

1.  Methodology for use of a neuroprosthetic to reduce plantar pressure: applications in patients with diabetic foot disease.

Authors:  Manish Bharara; Bijan Najafi; David G Armstrong
Journal:  J Diabetes Sci Technol       Date:  2012-01-01

2.  A biomechanical model to estimate corrective changes in muscle activation patterns for stroke patients.

Authors:  Qi Shao; Thomas S Buchanan
Journal:  J Biomech       Date:  2008-08-30       Impact factor: 2.712

3.  Evoked Electromyographically Controlled Electrical Stimulation.

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

4.  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

5.  Effects of timing parameter changes on the gait of functional electrical stimulation users with drop foot.

Authors:  Simon Marchant; Shona Michael; Laura Milner; Kit-Tzu Tang
Journal:  J Rehabil Assist Technol Eng       Date:  2019-07-19

6.  A predictive model of muscle excitations based on muscle modularity for a large repertoire of human locomotion conditions.

Authors:  Jose Gonzalez-Vargas; Massimo Sartori; Strahinja Dosen; Diego Torricelli; Jose L Pons; Dario Farina
Journal:  Front Comput Neurosci       Date:  2015-09-17       Impact factor: 2.380

7.  A Personalized Multi-Channel FES Controller Based on Muscle Synergies to Support Gait Rehabilitation after Stroke.

Authors:  Simona Ferrante; Noelia Chia Bejarano; Emilia Ambrosini; Antonio Nardone; Anna M Turcato; Marco Monticone; Giancarlo Ferrigno; Alessandra Pedrocchi
Journal:  Front Neurosci       Date:  2016-09-16       Impact factor: 4.677

8.  Human Gait Control Using Functional Electrical Stimulation Based on Controlling the Shank Dynamics.

Authors:  Zohre Rezaee; Hamid Reza Kobravi
Journal:  Basic Clin Neurosci       Date:  2020-01-01

9.  Adaptive multichannel FES neuroprosthesis with learning control and automatic gait assessment.

Authors:  Philipp Müller; Antonio J Del Ama; Juan C Moreno; Thomas Schauer
Journal:  J Neuroeng Rehabil       Date:  2020-02-28       Impact factor: 4.262

  9 in total

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