ArticleEuropean journal of applied physiology2012
Concurrent EMG feedback acutely improves strength and muscle activation.
Article in European journal of applied physiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06667115 (The Effectiveness of Proprioceptive Neuromuscular Facilitation Exercise With Virtual Reality Motion Capture Gaming System and Concurrent Feedback on Early Shoulder Muscle Activation in Healthy Individuals), which is not on this map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
The Effectiveness of Proprioceptive Neuromuscular Facilitation Exercise With Virtual Reality Motion Capture Gaming System and Concurrent Feedback on Early Shoulder Muscle Activation in Healthy Individuals
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- The Effect of Feedback on Resistance Training Performance and Adaptations: A Systematic Review and Meta-analysis.Sports medicine (Auckland, N.Z.) · 2023Pooled it
- Neuromuscular Activation Patterns in Response to Windlass Stimulation and Biofeedback: A Surface EMG Study.Sports (Basel, Switzerland) · 2026Article
- Rapid Re-activation of Functionally Inhibited Hamstring Muscles via Real-Time EMG Visual Feedback in an Asymptomatic Masters Sprinter: A Case Report.International journal of sports physical therapy · 2026Article
- Effectiveness of proprioceptive neuromuscular facilitation exercise with virtual reality motion capture gaming system and concurrent feedback on early shoulder muscle activation in healthy individuals.Journal of exercise rehabilitation · 2025Article
- The type of visual biofeedback influences maximal handgrip strength and activation strategies.European journal of applied physiology · 2021Article
- The effects of massed versus distributed contractions on the variability of maximal isometric force.Experimental brain research · 2014Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of this study was to investigate the acute effects of electromyographic (EMG) feedback on muscle activation and strength during maximal voluntary concentric and eccentric muscle actions. 15 females performed two sets of three lengthening and three shortening maximal voluntary isokinetic knee extensions at 20° s(-1) over 60° range of motion. After the first set, subjects were randomized to either a control group (n = 8) or a feedback group (n = 7). In the second set, the control group performed tasks identical to those in the first set, whereas the feedback group additionally received concurrent visual feedback of the EMGrms from Vastus Medialis (VM). Knee extensor strength and EMG activation of VM, Vastus lateralis (VL) and hamstrings (HAM) were measured during the MVCs. Analyses were performed separately in a 1 s preactivation phase, a 1 s initial movement phase and a 1 s late movement phase. EMG feedback was associated with significantly higher knee extensor strength in all phases (20.5% p < 0.05, 18.2% p < 0.001 and 19% p < 0.001, respectively) for the eccentric MVCs and in the preactivation phase (16.3%, p < 0.001) and initial movement phases (7.2%, p < 0.05) for concentric MVCs. EMG feedback from VM further improved activation in VM and HAM but not VL. These findings suggested that concurrent visual EMG feedback from VM could acutely enhance muscle strength and activation. Before recommending implementation of EMG feedback in resistance training paradigms, the feedback parameters needs to be optimized and its long-term effects needs to be scrutinized.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.