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Voluntary muscular e ffort prediction for FES using EMG

Author(s):

Jeroen Buil
Conference/Journal:

Semester Thesis, FS12 (10177)
Abstract:

Combining Functional Electrical Stimulation (FES) with an exoskeletal robotic device seem to prove good results in the rehabilitation of stroke patients. However a big limitation is that the amount of voluntary e ort that the patients are exerting is not maximised with the current rehabilita- tion strategy. However measuring the amount of voluntary e ort, a patient is exerting, is not an easy task as the electrical stimulation creates large artefacts in the EMG signal. In order to acquire an estimate of the amount of voluntary e ort a subject is exerting while receiving functional electri- cal stimulation, it is required to lter out both the stimulation and muscle artefacts evoked by FES. A system has been designed in LABVIEW which blanks the stimulation artefacts and eliminates the varying muscle responses by prediction the shape using an linear adaptive lter.

Year:

2012
Type of Publication:

(13)Semester/Bachelor Thesis
Supervisor:

R. Nguyen

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% Autogenerated BibTeX entry
@PhdThesis { Xxx:2012:IFA_4180
}
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