Advanced biofeedback from surface electromyography signals using fuzzy system

Afshin Samani, Andreas Holtermann, Karen Søgaard, Pascal Madeleine

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

The aims of this study were to develop a fuzzy inference-based biofeedback system and investigate its effects when inducing active (shoulder elevation) and passive (relax) pauses on the trapezius muscle electromyographic (EMG) activity during computer work. Surface EMG signals were recorded from clavicular, descending (bilateral) and ascending parts of the trapezius muscles during computer work. The fuzzy system readjusted itself based on the history of previous inputs. The effect of feedback was assessed in terms of muscle activation regularity and amplitude. Active pause resulted in non-uniform muscle activity changes in the trapezius muscle depicted by increase and decrease of permuted sample entropy in ascending and clavicular parts of trapezius, respectively (P <0.05) compared with no pause. Concomitantly, the normalized root mean square of EMG increased approximately 5% in descending part of trapezius bilaterally (P <0.01). These findings confirm that advanced feedback can change the pattern of muscle activation.
Original languageEnglish
JournalMedical & Biological Engineering & Computing
Volume48
Issue number9
Pages (from-to)865-73
Number of pages9
ISSN0140-0118
DOIs
Publication statusPublished - 1. Sep 2010

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Biofeedback
Electromyography
Fuzzy systems
Muscle
Chemical activation
Feedback
Fuzzy inference
Entropy

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Samani, Afshin ; Holtermann, Andreas ; Søgaard, Karen ; Madeleine, Pascal. / Advanced biofeedback from surface electromyography signals using fuzzy system. In: Medical & Biological Engineering & Computing. 2010 ; Vol. 48, No. 9. pp. 865-73.
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Advanced biofeedback from surface electromyography signals using fuzzy system. / Samani, Afshin; Holtermann, Andreas; Søgaard, Karen; Madeleine, Pascal.

In: Medical & Biological Engineering & Computing, Vol. 48, No. 9, 01.09.2010, p. 865-73.

Research output: Contribution to journalJournal articleResearchpeer-review

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AU - Holtermann, Andreas

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AU - Madeleine, Pascal

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AB - The aims of this study were to develop a fuzzy inference-based biofeedback system and investigate its effects when inducing active (shoulder elevation) and passive (relax) pauses on the trapezius muscle electromyographic (EMG) activity during computer work. Surface EMG signals were recorded from clavicular, descending (bilateral) and ascending parts of the trapezius muscles during computer work. The fuzzy system readjusted itself based on the history of previous inputs. The effect of feedback was assessed in terms of muscle activation regularity and amplitude. Active pause resulted in non-uniform muscle activity changes in the trapezius muscle depicted by increase and decrease of permuted sample entropy in ascending and clavicular parts of trapezius, respectively (P <0.05) compared with no pause. Concomitantly, the normalized root mean square of EMG increased approximately 5% in descending part of trapezius bilaterally (P <0.01). These findings confirm that advanced feedback can change the pattern of muscle activation.

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