Med Biol Eng Comput - Advanced biofeedback from surface electromyography signals using fuzzy system.

Tópicos

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Resumo

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.

Resumo Limpo

aim studi develop fuzzi inferencebas biofeedback system investig effect induc activ shoulder elev passiv relax paus trapezius muscl electromyograph emg activ comput work surfac emg signal record clavicular descend bilater ascend part trapezius muscl comput work fuzzi system readjust base histori previous input effect feedback assess term muscl activ regular amplitud activ paus result nonuniform muscl activ chang trapezius muscl depict increas decreas permut sampl entropi ascend clavicular part trapezius respect p compar paus concomit normal root mean squar emg increas approxim descend part trapezius bilater p find confirm advanc feedback can chang pattern muscl activ

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