Biofeedback effectiveness to reduce upper limb muscle activity during computer work is muscle specific and time pressure dependent

Vedsted, Peter; Søgaard, Karen; Blangsted, Anne Katrine; Madeleine, Pascal; Sjøgaard, Gisela

doi:10.1016/j.jelekin.2010.06.002

Cited by 25 publications

(17 citation statements)

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“…Additionally, a recent review article reported that ergonomic configuration was usually not effective for instances of long-term low back and neck pain 16) . Biofeedback has been reported to be an effective intervention for re-educating posture and reducing altered activation of the upper trapezius muscles [19][20][21] . Vedsted et al (2011) suggested that EMG-based biofeedback could specifically reduce the activation of the targeted muscle in the upper extremities during computer operation 19) .…”

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confidence: 99%

“…Biofeedback has been reported to be an effective intervention for re-educating posture and reducing altered activation of the upper trapezius muscles [19][20][21] . Vedsted et al (2011) suggested that EMG-based biofeedback could specifically reduce the activation of the targeted muscle in the upper extremities during computer operation 19) . Park and Yoo (2011) also added that visual feedback based on pressure signals could reduce flexed posture during computer operation 22) .…”

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Effect of EMG‐based Feedback on Posture Correction during Computer Operation

Park

Yoo

2012

Journal of Occupational Health

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Effect of EMG-based Feedback on PostureCorrection during Computer Operation: Se-yeon PARK, et al. Department of Physical Therapy, The Graduate School, Inje University, Republic of Korea-Objective: The aim of this study was to investigate the effects of an EMG-based feedback device on the human musculoskeletal system by assessing the kinematics of the lumbar and cervical regions during computer operation. Methods: Using an EMG device, measurements were collected under four conditions: with feedback from the upper trapezius muscle, from the L4-erector spinae muscles and from both and without feedback (control). During periods of 15 min of computer operation, kinematic data were collected using the Zebris motion analysis system to investigate 14 university employees. Results: Feedback assessment effectively reduced the kinematic changes in the sagittal plane compared with the control (p<0.05). Feedback from the L4 erector spinae reduced the trunk flexion and forward head angles, which were significantly different compared with those under the feedback from the upper trapezius and the control conditions (p<0.05). Conclusion: We observed that the use of an EMG-based feedback device was effective in reducing habitual forward head and flexed-relaxed postures during computer operation. Additionally, posture correction from the lumbar region could be a way to reduce forward head posture as well as flexed-relaxed posture. (J Occup Health 2012; 54: 271-277)

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Effect of EMG‐based Feedback on Posture Correction during Computer Operation

Park

Yoo

2012

Journal of Occupational Health

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“…The most important feature of these non-surgical treatments is that the hand is used with the wrist positioned in a neutral position 6) . Several ergonomic studies have reported that the use of devices as well as assessment tools and interventions can re-educate wrist posture 7) . An optimized feedback device may be important in rehabilitation for identifying which components of the posture alignment need the greatest re-education in individual patients 8) .…”

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confidence: 99%

Effect of a Wrist Motion Storage Biofeedback System (WMSBS) on Wrist Motion during Keyboard Typing Work

Yoo

2013

J Phys Ther Sci

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Abstract.[Purpose] The purpose of this study was to examine the effect of a wrist motion storage biofeedback system on wrist range of motion during keyboard typing work.[Subjects] For this study, we recruited 10 computer workers as volunteers.[Methods] Wrist flexion, extension, ulnar deviation, and radial deviation angles were analyzed using a 3-D motion analysis system. [Results] The wrist flexion, extension, ulnar deviation, and radial deviation angles decreased significantly in keyboard typing work with the wrist motion storage biofeedback system. [Conclusion] We suggest that the wrist motion storage biofeedback system promotes the adoption of a beneficial wrist posture, which may be effective at preventing computer work-related wrist disorders, such as carpal tunnel syndrome.

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“…People who work in offices, particularly subjects who perform monotonous, repetitive work (e.g., to spend several hours typing on a computer), can suffer from osteomuscular diseases. In an attempt to reduce the incidence of these diseases, Vedsted et al (2011) used MMG and EMG recordings of the extensor digitorum communis and trapezius muscles as biofeedback information. The magnitudes were based on MVC percentages.…”

Section: Clinical Assessment and Rehabilitation Biofeedbackmentioning

confidence: 99%

Advances and perspectives of mechanomyography

Krueger

Scheeren

Nogueira-Neto

et al. 2014

Rev. Bras. Eng. Bioméd.

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Introduction: The evaluation of muscular tissue condition can be accomplished with mechanomyography (MMG), a technique that registers intramuscular mechanical waves produced during a fi ber's contraction and stretching that are sensed or interfaced on the skin surface. Objective: Considering the scope of MMG measurements and recent advances involving the technique, the goal of this paper is to discuss mechanomyography updates and discuss its applications and potential future applications. Methods: Forty-three MMG studies were published between the years of 1987 and 2013. Results: MMG sensors are developed with different technologies such as condenser microphones, accelerometers, laser-based instruments, etc. Experimental protocols that are described in scientifi c publications typically investigated the condition of the vastus lateralis muscle and used sensors built with accelerometers, third and fourth order Butterworth fi lters, 5-100Hz frequency bandpass, signal analysis using Root Mean Square (RMS) (temporal), Median Frequency (MDF) and Mean Power Frequency (MPF) (spectral) features, with epochs of 1 s. Conclusion: Mechanomyographic responses obtained in isometric contractions differ from those observed during dynamic contractions in both passive and functional electrical stimulation evoked movements. In the near future, MMG features applied to biofeedback closed-loop systems will help people with disabilities, such as spinal cord injury or limb amputation because they may improve both neural and myoelectric prosthetic control. Muscular tissue assessment is a new application area enabled by MMG; it can be useful in evaluating the muscular tonus in anesthetic blockade or in pathologies such as myotonic dystrophy, chronic obstructive pulmonary disease, and disorders including dysphagia, myalgia and spastic hypertonia. New research becomes necessary to improve the effi ciency of MMG systems and increase their application in rehabilitation, clinical and other health areas.

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Biofeedback effectiveness to reduce upper limb muscle activity during computer work is muscle specific and time pressure dependent

Cited by 25 publications

References 50 publications

Effect of EMG‐based Feedback on Posture Correction during Computer Operation

Effect of EMG‐based Feedback on Posture Correction during Computer Operation

Effect of a Wrist Motion Storage Biofeedback System (WMSBS) on Wrist Motion during Keyboard Typing Work

Advances and perspectives of mechanomyography

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