Artificial feedback for remotely supervised training of motor skills

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Dijk, Henk van and Hermens, Hermie J. (2010) Artificial feedback for remotely supervised training of motor skills. Journal of Telemedicine and Telecare, 12 (Suppl.). pp. 50-52. ISSN 1357-633X

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Abstract:Electromyographic (EMG) biofeedback can be used to train motor functions at a distance, which makes therapy at home a possibility. To enable patients to train properly without the presence of a therapist, artificial feedback is considered essential. We studied the combined effect of age and timing of artificial feedback on training muscle relaxation in 32 healthy subjects (younger: 20–35 years; older: 55–70 years). All subjects improved their performance significantly (F = 6.1, P<0.001). The effect of different timing of feedback (feedback provided during or after performance) was similar in young and older adults. However, this conclusion should be interpreted with caution owing to the small sample size. It can be argued that the artificial feedback used was too complicated for older adults to interpret. When designing remotely supervised treatment programmes, one should consider carefully the way that artificial feedback is being applied as it may enable (elderly) subjects to train without the presence of a therapist.
Item Type:Article
Copyright:© 2006 Royal Society of Medicine Press
Faculty:
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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Link to this item:http://purl.utwente.nl/publications/71311
Official URL:http://dx.doi.org/10.1258/135763306777978588
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