The effects of training using EMG biofeedback on stroke patients upper extremity functions

Kim, Ju-Hong

doi:10.1589/jpts.29.1085

Cited by 39 publications

(34 citation statements)

References 12 publications

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“…However, in several previous studies EMG metrics have been used for biofeedback and in these studies participants are able to modulate EMG given instructions. This kind of EMG-based biofeedback has also been demonstrated to be useful for rehabilitation and prosthetic control (Dosen et al 2015;Giggins et al 2013;Kim 2017;Radhakrishnan et al 2008;Thompson and Wolpaw 2014;Woodford and Price 2007) . Lastly, although it is tempting to say that the learning we describe happens implicitly, the absence of an effect of explicit cues in this experiment does not mean that people are not engaged in different strategies (McDougle and Taylor 2019) .…”

Section: Limitationsmentioning

confidence: 99%

Explicit feedback and instruction do not change shoulder muscle activity reduction after shoulder fixation

Maeda

Zdybal

Gribble

et al. 2020

Preprint

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Generating pure elbow rotation requires contracting muscles at both the shoulder and elbow joints to counter torques that arise at the shoulder when the forearm rotates (i.e., intersegmental dynamics). Previous work has shown that human participants learn to reduce their shoulder muscle activity if the same elbow movement is performed after the shoulder joint is mechanically locked, which is appropriate because locking the shoulder joint eliminates the torques that arise at the shoulder when the forearm rotates. However, this learning is slow (i.e., it unfolds over hundreds of trials) and incomple te (i.e., shoulder activity is not fully eliminated). Here we investigated whether and how the addit ion of explicit strategies and biofeedback modulate this type of learning. Three groups of human participants (N = 55) performed voluntary pure elbow rotations using a robotic exoskeleton that permits shoulder and elbow rotation in a horizontal plane. Participants did the task with the shoulder free to move (baseline), then with the shoulder joint locked by the robotic manipulandum (adaptation), and then with the shoulder free to move again (post-adaptation). The first group of participants performed this protocol and received no instructions about what to do after their shoulder was locked. The second group of participants received visual feedback about their shoulder muscle activity after each movement and was instructed to reduce their shoulder activity to zero. The third group of participants also received visual biofeedback, but it was removed part way through the experiment. We found that, although all groups learned, the rate and magnitude of learning was not reliably different across the groups. Taken together, our results suggest that learning new arm dynamics, unlike other motor learning paradigms, unfolds independent of explicit instructions, biofeedback and task instructions.

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Section: Limitationsmentioning

confidence: 99%

Explicit feedback and instruction do not change shoulder muscle activity reduction after shoulder fixation

Maeda

Zdybal

Gribble

et al. 2020

Preprint

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“…Several studies have evaluated the effectiveness of biofeedback treatment on gait function in children with CP, e.g., sEMG-B of triceps surae muscle activity during gait, which may be used for improving gait symmetry in these patients (78,79). Another group of authors has demonstrated the potential benefits of sEMG-B in conjunction with exercise in maximizing hand function in hemiplegic patients (80)(81)(82) or suggested that treadmill gait retraining augmented with sEMG-B facilitates improvements in gait function in postcerebrovascular accident patients (83). These studies therefore indicate that sEMG-B is effective for post-stroke rehabilitation.…”

Section: Semg In Biofeedbackmentioning

confidence: 99%

Critical Appraisal of Surface Electromyography (sEMG) as a Taught Subject and Clinical Tool in Medicine and Kinesiology

Medved

Kováč³

2020

Front. Neurol.

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The characteristics and state of knowledge of bioelectric signals such as ECG, EEG, and EMG are initially discussed. This serves as the basis for exploration of the degree of scholastic coverage and understanding of the level of clinical acceptance of respective bioelectric signal subtypes during the last 60 or so years. The review further proceeds to discuss surface EMG (sEMG). The status of the field in terms of teaching and academic training related to sEMG is examined, and its clinical acceptance in several areas of medicine and kinesiology, including neurology, psychology, psychiatry, physiatry, physical medicine and rehabilitation, biomechanics and motor control, and gnathology, is evaluated. A realistic overview of the clinical utility of the measurement of sEMG signals and their interpretation and usage, as well as of perspectives on its development, are then provided. The main focus is on the state of the field in Croatia. EMG signals are viewed as "windows" into the function of the neuro-muscular system, a complex and hierarchically organized system that controls human body posture and gross body movement. New technical and technological means to enable the detection and measurement of these signals will contribute to increased clinical acceptance, provided current scientific, educational, and financial obstacles can be removed.

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“…In the clinical settings several types of biofeedback are used: visual, audio feedback of electromyogram, position, velocity, force values, etc [2] and can be classi ed either in physiological or biomechanical categories [3]. Potential bene ts of electromyographic (EMG) biofeedback has been demonstrated in hemiplegic patients, using the biofeedback during the exercise for hand [4], [5]. The researchers found the EMG biofeedback as a promising tool and the most widely used and reported method of biofeedback in rehabilitation [3].…”

Section: Introductionmentioning

confidence: 99%

Robotic Wrist Rehabilitation With High-density Electromyographic Biofeedback for Reducing Co-activation of Antagonist Muscles and Improved Motor Coordination: A Feasibility Study

Cikajlo¹,

Zadravec²,

Matjačić³

et al. 2020

Preprint

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Objectives: Electromygraphic (EMG) biofeedback has been successfully applied in stroke survivors for a few decades. Recently high-density (HD) electrodes were introduced in research and diagnostic EMG. The application of such electrodes may increase the reliability and selectivity, but requires information reduction for real-time biofeedback. We tested whether the use of the proposed feedback is feasible in minimization of inappropriate co-activation of wrist flexors/extensors controlled by the wrist rehabilitation robot. Methods: The EMG of wrist flexors and extensors muscles has been assessed by arrays of 5 x 13 electrodes, reduced to 1 x 4 information matrix and provided as real-time biofeedback during wrist movement controlled by the robot. The designed task required to keep the contribution of agonist muscles within predefined limits. A feasibility study with a single patient with stroke was conducted to examine force tracking and reduction of activity of antagonists wrist muscles in 4 weeks. Results: Force tracking signal and cumulative forecast errors decreased in 4 trials. The RMS activity of antagonist muscles significantly decreased (Kruskal Wallis, c2 = 3.330*10-9) during wrist flexion in the 4th week of trials. The participant was able to follow the reduced HDEMG biofeedback.Conclusions: The outcomes show that the surface HDEMG biofeedback has a potential to decrease the co-activation of antagonist muscles, wrist flexion in particular. Additionally the combination of force tracking and robot assisted biofeedback training may recover selective hand function in stroke survivors who would less likely to develop contractures. Trial registration: The study is not a clinical trial. While human subjects are involved, they do not participate in a full rehabilitation intervention, and no health outcomes are examined.

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The effects of training using EMG biofeedback on stroke patients upper extremity functions

Cited by 39 publications

References 12 publications

Explicit feedback and instruction do not change shoulder muscle activity reduction after shoulder fixation

Explicit feedback and instruction do not change shoulder muscle activity reduction after shoulder fixation

Critical Appraisal of Surface Electromyography (sEMG) as a Taught Subject and Clinical Tool in Medicine and Kinesiology

Robotic Wrist Rehabilitation With High-density Electromyographic Biofeedback for Reducing Co-activation of Antagonist Muscles and Improved Motor Coordination: A Feasibility Study

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