The influence of biofeedback training on trapezius activity and rest during occupational computer work: a randomized controlled trial

Holtermann, Andreas; Søgaard, Karen; Christensen, Hanne; Dahl, Benny; Blangsted, Anne Katrine

doi:10.1007/s00421-008-0853-0

Cited by 36 publications

(18 citation statements)

References 37 publications

(54 reference statements)

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“…This is in line with studies showing that EMG-based biofeedback from dominant side can cause bilateral modulation of the trapezius activity due to the close neural connections and bilateral activation of the homologous trapezius muscles (Alexander et al 2007). Holtermann et al (2008) showed modulation of EMG amplitude in the contra-lateral trapezius due to applied biofeedback to decrease muscle activity. In our study, this modulation only occurred during active pause, and it evolved over time.…”

Section: Spatial Changes Of Emg Mapsmentioning

confidence: 98%

Active biofeedback changes the spatial distribution of upper trapezius muscle activity during computer work

et al. 2010

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The aim of this study was to investigate the spatio-temporal effects of advanced biofeedback by inducing active and passive pauses on the trapezius activity pattern using high-density surface electromyography (HD-EMG). Thirteen healthy male subjects performed computer work with superimposed feedback either eliciting passive (rest) or active (approximately 30% MVC) pauses based on fuzzy logic design and a control session with no feedback. HD-EMG signals of upper trapezius were recorded using a 5 x 13 multichannel electrode grid. From the HD-EMG recordings, two-dimensional maps of root mean square (RMS), relative rest time (RRT) and permuted sample entropy (PeSaEn) were obtained. The centre of gravity (CoG) and entropy of maps were used to quantify changes in the spatial distribution of muscle activity. PeSaEn as a measure of temporal heterogeneity for each channel, decreased over the whole map in response to active pause (P < 0.05) underlining a more homogenous activation pattern. Concomitantly, the CoG of RRT maps moved in caudal direction and the entropy of RMS maps as a measure of spatial heterogeneity over the whole recording grid, increased in response to active pause session compared with control session (no feedback) (P < 0.05). Active pause compared with control resulted in more heterogeneous coordination of trapezius compared with no feedback implying a more uneven spatial distribution of the biomechanical load. The study introduced new aspects in relation to the potential benefit of superimposed muscle contraction in relation to the spatial organization of muscle activity during computer work.

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Section: Spatial Changes Of Emg Mapsmentioning

confidence: 98%

Active biofeedback changes the spatial distribution of upper trapezius muscle activity during computer work

et al. 2010

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“…In general, computer users are informed to relax or decrease the level of muscle activation (termed here: passive pause) in response to biofeedback [8,10,15]. However, this instruction has been shown ineffective for the prevention of WMSD [5].…”

Section: Introductionmentioning

confidence: 99%

“…So far, most biofeedback studies have used simple measures (e.g. EMG amplitude and gaps) as source of information for generating feedback [3,8,10,15]. However, these design approaches have limitations related to estimation of threshold of ''safe working'', i.e.…”

Section: Introductionmentioning

confidence: 99%

Advanced biofeedback from surface electromyography signals using fuzzy system

Samani

Holtermann

Søgaard

et al. 2010

Med Biol Eng Comput

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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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“…Still, it has been extensively accepted the assumption that these patients need to go through a motor relearning process such as the proposed by Fitts and Posner (1967). Real-time biofeedback has been used to enhance the learning ability of an individual (Holtermann et al, 2008). 3D kinematic biofeedback is a valid method that can reliably identify scapular movement disorders (Tate et al, 2009) and can facilitate the physiological and biomechanical function through the reception of feedback information in real-time during or immediately after a task (Vedsted et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Effectiveness of Three-Dimensional Kinematic Biofeedback on the Performance of Scapula-focused Exercises

Antunes¹,

Filipe²,

Cordeiro³

et al. 2014

Proceedings of the International Conference on Physiological Computing Systems

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Abstract:Three-dimensional (3D) kinematic biofeedback can help identify scapular movement disorders and assist the subjects' motor relearning process by facilitating changes in physiological and biomechanical function through real-time knowledge of performance and result during or immediately after a task execution. This study assessed the effectiveness of 3D kinematic biofeedback on the quality of the scapula-focused exercises execution, and motor learning transfer during shoulder flexion and a daily activity. Thirty healthy adults with no history of shoulder pain or dysfunction were randomly distributed into two groups. Skinmounted sensors allowed tracking of the thorax, scapula and humerus, and scapulothoracic and glenohumeral 3D angles were computed after reconstructing upper-extremity motions during daily activities and exercises for different phases of a motor relearning process. The results of this study demonstrate that the execution quality of scapula-focused exercises benefits of real-time 3D kinematic biofeedback and that transfer of learning occurs with a specific motor training intervention.

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The influence of biofeedback training on trapezius activity and rest during occupational computer work: a randomized controlled trial

Cited by 36 publications

References 37 publications

Active biofeedback changes the spatial distribution of upper trapezius muscle activity during computer work

Active biofeedback changes the spatial distribution of upper trapezius muscle activity during computer work

Advanced biofeedback from surface electromyography signals using fuzzy system

Effectiveness of Three-Dimensional Kinematic Biofeedback on the Performance of Scapula-focused Exercises

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