Electromyographic biofeedback in stroke rehabilitation: A pathway to motor recovery and psychological resilience

Abstract

The retrospective study by Yu et al (2025) demonstrates that electromyographic biofeedback therapy, when combined with conventional rehabilitation, provides significant advantages in stroke recovery. Compared with traditional treatment alone, patients receiving biofeedback showed greater improvements in upper and lower limb Fugl–Meyer scores, balance performance, and wrist and ankle joint range of motion at both 4 and 8 weeks. Importantly, reductions in scores on the Hospital Anxiety and Depression Scale, Hamilton Depression Rating Scale, and Hamilton Anxiety Rating Scale further highlight the psychological benefits of this approach. These findings confirm that electromyographic biofeedback not only accelerates functional recovery but also reduces post-stroke anxiety and depression, thereby addressing two critical dimensions of stroke rehabilitation. Given the relatively small sample size, further multicenter, long-term trials are needed to validate these promising outcomes and optimize individualized treatment strategies.

Key Words: Electromyographic biofeedback therapy; Stroke rehabilitation; Neuroplasticity; Motor function recovery; Post-stroke anxiety

Core Tip: Electromyographic biofeedback therapy re-establishes the disrupted brain-muscle communication in stroke survivors, enabling the restoration of voluntary motor control. Beyond enhancing physical recovery, it alleviates anxiety and depression by strengthening patients’ self-efficacy, motivation, and emotional stability. Building upon Yu et al’s findings, this letter emphasizes how electromyography biofeedback promotes neural adaptability, fosters psychological resilience, and integrates seamlessly into multidisciplinary rehabilitation models, offering a comprehensive pathway toward holistic stroke recovery.

TO THE EDITOR

Electromyographic biofeedback therapy: Re-establishing the brain–muscle dialog

Stroke remains a leading cause of long-term disability, resulting in motor impairment, functional dependency, and emotional distress. The study by Yu et al[1] confirms that electromyography (EMG) biofeedback therapy, when combined with conventional rehabilitation, yields greater gains in limb mobility, balance, and mood stabilization compared to traditional methods alone[1].

EMG biofeedback operates by detecting electrical activity in muscles and translating these signals into visual or auditory cues. Patients can then consciously adjust their movements, creating a real-time feedback loop between the central nervous system and the peripheral musculature[2]. This self-regulatory mechanism allows individuals to “see” or “hear” their muscle activity, fostering engagement and motivation throughout rehabilitation[3]. In clinical applications, EMG biofeedback training is generally performed several times per week, with each session lasting around 30–45 min. Training frequency and feedback intensity are progressively adjusted according to the patient’s functional status and tolerance level, allowing optimal neuromuscular activation and adaptation[4,5].

Clinical applications of EMG biofeedback have proven especially effective in retraining fine motor functions impaired by stroke. For example, Liaw et al[4] demonstrated improvements in swallowing and respiratory coordination among patients with stroke, using EMG-guided interventions. Haas et al[5] found enhanced trunk muscle control and postural stability during seated balance exercises. These findings underscore that EMG biofeedback therapy is not merely a mechanical training method but a neurobehavioral communication tool that retrains disrupted brain–body feedback systems. Appropriate patient selection is crucial to achieving optimal outcomes. EMG biofeedback is most suitable for individuals with partial voluntary motor control and sufficient cognitive capacity to interpret feedback cues. Patients with severe cognitive impairment or uncontrolled neurological conditions may benefit less from such training[5].

Neuroplasticity and cortical reorganization: Mechanisms of functional recovery

A cornerstone of the success of EMG biofeedback lies in its influence on neuroplasticity—the brain’s capacity to reorganize neural connections after injury. Although stroke often damages the corticospinal pathways, new neural circuits can emerge through synaptic remodeling and adaptive compensation. EMG biofeedback stimulates these changes by providing immediate, tangible feedback that reinforces correct muscle activation patterns[6,7].

Evidence suggests that EMG biofeedback enhances sensorimotor integration, thereby strengthening both cortical and subcortical connectivity. Chalard et al[8] observed that optimized EMG normalization improved muscle activation consistency and reduced antagonist co-contraction in post-stroke patients, indicating better neuromuscular control. Similarly, Fujita et al[9] demonstrated that EMG-monitored gait training improved stride symmetry and endurance, even after patients had reached a recovery plateau, indicating the role of this method in reactivating stalled neuroplastic processes.

Furthermore, Ishibashi et al[10] reported that combining EMG biofeedback with robotic gait training conferred additional improvements in walking ability, reflecting the synergistic potential of integrating biofeedback within technologically enhanced rehabilitation platforms. These studies collectively affirm that EMG biofeedback not only facilitates the relearning of movement but also restructures neural networks, bridging the gap between physical recovery and neural adaptation.

Emotional healing through psychophysiological regulation

Yu et al’s study[1] also emphasizes the psychological dimension of stroke recovery. Stroke survivors frequently suffer from post-stroke depression and anxiety, which hinder rehabilitation engagement and delay progress. By including measures such as the Hospital Anxiety and Depression Scale, the Hamilton Depression Rating Scale, and the Hamilton Anxiety Rating Scale, Yu et al[1] highlighted the dual impact of EMG biofeedback on both motor and emotional rehabilitation. However, it should be acknowledged that these findings are based solely on standardized psychometric scales rather than psychiatric diagnostic evaluations. Therefore, the observed reductions in anxiety and depression scores should be interpreted as indicative of psychological improvement rather than definitive clinical diagnoses[11,12].

The psychophysiological basis of this improvement lies in the feedback-driven enhancement of self-efficacy. As patients observe and control their muscle activity, they regain confidence in their bodily function, which alleviates feelings of helplessness—a known trigger for depressive and anxious states[11,12]. Furthermore, the repetitive, goal-directed nature of EMG sessions induces relaxation responses by balancing the activity of the autonomic nervous system.

Recent evidence supports this connection between motor and emotional recovery. Sadora et al[13] found that EMG biofeedback for chronic pain not only improved muscle performance but also reduced emotional distress through mechanisms similar to mindfulness self-regulation[13]. Similarly, Wang et al[14] reported significant mood improvements among postoperative patients undergoing EMG-assisted pelvic floor training, further reinforcing the psychophysiological benefits of this therapy across clinical populations[14].

These emotional gains are not merely secondary effects but are integral to sustained neurorehabilitation success. Patients who experience emotional stability tend to demonstrate higher adherence to therapy, greater motivation, and an enhanced overall quality of life.

Integrating EMG biofeedback into multidisciplinary rehabilitation

Stroke rehabilitation is inherently multifaceted, requiring the integration of neurological, psychological, and functional recovery components. EMG biofeedback therapy seamlessly aligns with this multidisciplinary model of care.

Chen and Shaw[15] emphasized that modern sensorimotor rehabilitation should target both physical function and neural retraining through structured feedback systems. EMG biofeedback embodies this principle by enabling active participation, continuous assessment, and emotional reinforcement[15]. Moreover, Callegari et al[16] highlighted how rehabilitation outcomes differ between patients with ischemic and hemorrhagic stroke, suggesting that adaptive interventions such as EMG biofeedback allow clinicians to personalize rehabilitation plans to specific neurological profiles.

From a global health perspective, EMG biofeedback also shows promise in low-resource environments. Solanki et al[17] demonstrated that physiology-sensitive gait exercises incorporating EMG cues effectively improved lower limb function in patients with hemiplegia, even with limited equipment. The increasing affordability of wearable EMG systems makes this approach scalable, facilitating widespread adoption in both clinical and home-based rehabilitation settings[17].

When integrated with robotic assistance, task-oriented training, and balance control programs, EMG biofeedback becomes a central element of a comprehensive rehabilitation framework[5,10,18]. This convergence of technology, neuroscience, and psychology represents the future of evidence-based rehabilitation. Additionally, rehabilitation outcomes may vary according to stroke subtype and lesion site. Callegari et al[16] demonstrated differences between patients with ischemic and hemorrhagic stroke, suggesting that adaptive EMG biofeedback programs tailored to cortical or subcortical damage could further optimize recovery trajectories.

Future perspectives: From biofeedback to smart neurorehabilitation systems

While Yu et al’s retrospective design[1] provides valuable insight, further research is essential to establish long-term causal relationships and optimize intervention parameters. Future studies should employ well-designed randomized controlled trials with adequately powered and multicenter samples, where feasible, to confirm the generalizability of results. However, given the high cost and logistical challenges of large-scale trials, smaller, technology-driven multicenter collaborations may offer practical, cost-effective alternatives[1,17]. Moreover, determining the optimal timing of EMG biofeedback intervention across the acute, subacute, and chronic phases of rehabilitation remains an important area for further investigation. Early initiation during the subacute stage may enhance neural plasticity and motor relearning, whereas chronic-phase applications could focus on maintaining functional gains and preventing maladaptive compensations[5,9].

Advanced neuroimaging techniques, such as electroencephalography and functional magnetic resonance imaging, could be used to observe cortical activation patterns during EMG biofeedback, thereby elucidating how specific brain areas contribute to regaining movement control. Additionally, biomarkers such as cortisol levels, heart rate variability, and galvanic skin response may help quantify emotional regulation outcomes, thereby bridging neurophysiological data with psychological health indicators.

Emerging technologies will further enhance the potential of EMG biofeedback. Wearable, wireless EMG sensors can continuously monitor muscle activity, supporting home-based, real-time feedback and personalized rehabilitation programs. Integrating these systems with artificial intelligence and machine learning algorithms could allow adaptive adjustment of task difficulty, automated progress tracking, and predictive analytics, thereby optimizing individualized therapy and enhancing rehabilitation outcomes.

Ultimately, the convergence of EMG biofeedback, neuroimaging, and artificial intelligence-driven analytics will transform stroke rehabilitation from a reactive intervention into a dynamic, data-guided recovery ecosystem. Such systems will not only restore motor function but also foster psychological resilience and cognitive recovery, ensuring a truly holistic rehabilitation pathway. Furthermore, the scalability and cost-effectiveness of EMG biofeedback systems are promising, especially in low-resource settings. As Solanki et al[17] reported, even physiology-sensitive gait exercises with basic EMG feedback improved lower limb performance, supporting the feasibility of broader applications through affordable and portable systems.

CONCLUSION

The study by Yu et al[1] significantly advances our understanding of how electromyographic biofeedback therapy serves as both a neuromuscular and psychophysiological intervention for stroke survivors. By reinforcing brain–muscle communication, stimulating neural reorganization, and reducing anxiety and depression, EMG biofeedback transcends the boundaries of conventional rehabilitation. Its integration into clinical practice marks a paradigm shift—from passive treatment to active, feedback-driven recovery. As evidence accumulates, EMG biofeedback should be regarded not as a supplementary technique but as a core component of multidisciplinary stroke rehabilitation, bridging physical restoration with emotional healing and cognitive renewal.