Use Of Surface Electromyography Research Articles

Towards standardisation of surface electromyography measurements in the horse: Bipolar electrode location

The use of surface electromyography in the field of animal locomotion has increased considerably over the past decade. However, no consensus exists on the methodology for data collection in horses. This study aimed to start the development of recommendations for bipolar electrode locations to collect surface electromyographic data from horses during dynamic tasks.Data were collected from 21 superficial muscles of three horses during trot on a treadmill using linear electrode arrays. The data were assessed both quantitatively (signal-to-noise ratio (SNR) and coefficient of variation (CoV)) and qualitatively (presence of crosstalk and activation patterns) to compare and select electrode locations for each muscle.For most muscles and horses, the highest SNR values were detected near or cranial/proximal to the central region of the muscle. Concerning the CoV, there were larger differences between muscles and horses than within muscles. Qualitatively, crosstalk was suspected to be present in the signals of twelve muscles but not in all locations in the arrays.With this study, a first attempt is made to develop recommendations for bipolar electrode locations for muscle activity measurements during dynamic contractions in horses. The results may help to improve the reliability and reproducibility of study results in equine biomechanics.

Surface Electromyography in Dentistry-Past, Present and Future.

Surface electromyography (sEMG) is a technique for measuring and analyzing the electrical signals of muscle activity using electrodes placed on the skin's surface. The aim of this paper was to outline the history of the development and use of surface electromyography in dentistry, to show where research and technical solutions relating to surface electromyography currently lie, and to make recommendations for further research. sEMG is a diagnostic technique that has found significant application in dentistry. The historical section discusses the evolution of sEMG methods and equipment, highlighting how technological advances have influenced the accuracy and applicability of this method in dentistry. The need for standardization of musculoskeletal testing methodology is highlighted and the needed increased technical capabilities of sEMG equipment and the ability to specify parameters (e.g., sampling rates, bandwidth). A higher sampling rate (the recommended may be 2000 Hz or higher in masticatory muscles) allows more accurate recording of changes in the signal, which is essential for accurate analysis of muscle function. Bandwidth is one of the key parameters in sEMG research. Bandwidth determines the range of frequencies effectively recorded by the sEMG system (the recommended frequency limits are usually between 20 Hz and 500 Hz in masticatory muscles). In addition, the increased technical capabilities of sEMG equipment and the ability to specify electromyographic parameters demonstrate the need for a detailed description of selected parameters in the methodological section. This is necessary to maintain the reproducibility of sEMG testing. More high-quality clinical trials are needed in the future.

Use of Surface Electromyography to Evaluate Effects of Therapeutic Methods on Masticatory Muscle Activity in Patients with Temporomandibular Disorders: A Narrative Review

The presented narrative review aims to present the impact of therapeutic methods on the masticatory muscle activity measured using surface electromyography (sEMG) in patients with temporomandibular disorders (TMDs). Original interventional studies with baseline data for diagnosed TMD groups with full-text articles in English published in scientific journals in the last ten years were included in the evaluation process. The following narrative review considered only clinical, controlled, and randomized studies. Articles that included the following parameters were qualified for this review: adult participants, diagnosis of temporomandibular disorder, the presence of a musculoskeletal dysfunction, no other severe comorbidities, use of therapeutic interventions, and sEMG measurement before and after the intervention. Ten papers were accepted and analyzed for the final evaluation in the presented review. Several studies using surface electromyographic examination prove the effectiveness of various therapies to normalize the bioelectrical activity of the masticatory muscles, either reduction during rest or increase during a functional task in patients diagnosed with temporomandibular disorders. This narrative review shows the influence of manual and physical treatments on electromyographic masticatory muscle activity, including soft tissue mobilization, transcutaneous electrical nerve stimulation, low-level laser therapy, and moist heat therapy. Changes in masticatory muscle activity coincided with changes in TMD-associated pain and range of mandibular mobility.

Wearable facial electromyography: in the face of new opportunities

Facial muscles play an important role in a vast range of physiological functions, ranging from mastication to communication. Any disruption in their normal function may lead to serious negative effects on human well-being. A very wide range of medical disorders and conditions in psychology, neurology, psychiatry, and cosmetic surgery are related to facial muscles, and scientific explorations spanning over decades exposed many fascinating phenomena. For example, expansive evidence implicates facial muscle activation with the expression of emotions. Yet, the exact manner by which emotions are expressed is still debated: whether facial expressions are universal, how gender and cultural differences shape facial expressions and if and how facial muscle activation shape the internal emotional state. Surface electromyography (EMG) is one of the best tools for direct investigation of facial muscle activity and can be applied for medical and research purposes. The use of surface EMG has been so far restricted, owing to limited resolution and cumbersome setups. Current technologies are inconvenient, interfere with the subject normal behavior, and require know-how in proper electrode placement. High density electrode arrays based on soft skin technology is a recent development in the realm of surface EMG. It opens the door to perform facial EMG (fEMG) with high signal quality, while maintaining significantly more natural environmental conditions and higher data resolution. Signal analysis of multi-electrode recordings can also reduce crosstalk to achieve single muscle resolution. This perspective paper presents and discusses new opportunities in mapping facial muscle activation, brought about by this technological advancement. The paper briefly reviews some of the main applications of fEMG and presents how these applications can benefit from a more precise and less intrusive technology.

Surface electromyography evaluation of selected manual and physical therapy interventions in women with temporomandibular joint pain and limited mobility. Randomized controlled trial (RCT)

Non-invasive approach is gaining an increasing recognition in the TMD patients management. It is therefore reasonable to conduct RCTs evaluating the effectiveness of both physical and manual physiotherapy interventions. The aim of this study was to evaluate the short-term efficacy of selected physiotherapeutic interventions and their effect on the bioelectrical function of the masseter muscle in patients with pain and limited TMJ mobility. The study was conducted on a group of 186 women (T) with the Ib disorder diagnosed in DC/TMD. The control group consisted of 104 women without diagnosed TMDs. Diagnostic procedures were performed in both groups. The G1 group was randomly divided into 7 therapeutic groups in which the therapy was carried out for 10 days: magnetostimulation (T1), magnetoledotherapy (T2), magnetolaserotherapy (T3), manual therapy- positional release and therapeutic exercises (T4), manual therapy – massage and therapeutic exercises (T5), manual therapy – PIR and therapeutic exercises (T6), self therapy - therapeutic exercises (T7). In the T4 and T5 groups, the treatments led to complete resolution of pain after the 10th day of therapy and to the largest minimal clinically significant difference in the MMO and LM parameter. GEE model for PC1 values using treatment method and time point showed that T4, T5 and T6 treatments had the strongest effect on the parameters studied. Therefore, it may be concluded that SEMG testing is a helpful indicator to assess the therapeutic effectiveness of physiotherapeutic interventions. BackgroundNon-invasive approach is gaining an increasing recognition in the TMD patients management. It is therefore reasonable to conduct RCTs evaluating the effectiveness of both physical and manual physiotherapy interventions in a qualitative and quantitative manner. However, there were numerous controversies reported regarding the use of surface electromyography (SEMG) in Orofacial Pain patients. Therefore, we wanted to assess the effectiveness of physiotherapy interventions in TMD patients using SEMG. PurposeEvaluation of the short-term efficacy of selected physiotherapeutic interventions and their effect on the bioelectrical function of the masseter muscle in patients with pain and limited TMJ mobility. Material and MethodsThe study was conducted on a group of 186 women (T) with the Ib disorder diagnosed in DC/TMD (Ib - myofascial pain with restricted mobility). The control group consisted of 104 women without diagnosed TMDs (normal reference values for TMJ ROM and masseter muscle SEMG bioelectric activity). Diagnostic procedures were performed in both groups (SEMG of the masseter muscles at baseline and during exercise, measurement of TMJ mobility, assessment of pain intensity - NRS scale). The G1 group was randomly divided into 7 therapeutic groups in which the therapy was carried out for 10 days: magnetostimulation (T1), magnetoledotherapy (T2), magnetolaserotherapy (T3), manual therapy- positional release and therapeutic exercises (T4), manual therapy – massage and therapeutic exercises (T5), manual therapy – PIR and therapeutic exercises (T6), self-therapy - therapeutic exercises (T7). Each time after therapy, the intensity of pain and TMJ mobility were assessed. Sealed, opaque envelopes were used for randomization. After 5 and 10 days of therapy, bilateral SEMG signals of the masseter muscles were acquired. PC1 factor analysis was performed. A score of 99% in the PC1 parameter, demonstrates the clinical relevance of electromyography (MVC). ResultsSynergism of physical factors will lead to a higher MID on the NRS scale. Evaluating the MID of the therapeutic interventions used showed a better therapeutic effect of manual interventions over physical and self-therapy. In the T4 and T5 groups, the treatments led to complete resolution of pain after the 10th day of therapy and to the largest minimal clinically significant difference in the MMO and LM parameter. GEE model for PC1 values using treatment method and time point showed that T4, T5 and T6 treatments had the strongest effect on the parameters studied. Conclusions1. Exercise SEMG testing is a helpful indicator to assess the therapeutic effectiveness of physiotherapy interventions. 2. Manual therapy treatments are superior to physical treatments in their relaxation and analgesic efficacy and should therefore be prescribed as a first line non-invasive intervention for TMD pain patients.

Subjects self-select forearm gestures identification based on post-processing and integrating sEMG sensors and AS

The use of surface electromyography (sEMG) to determine movement intention has a lot of promise regarding artificial hand control and hemiplegia rehabilitation. Nevertheless, since sEMG is fragile and vulnerable to outside intervention, the current study focuses on identifying particular postures. When the subjects are swapped out, the recognition accuracy plummets. This study proposed a method in which the participant could select their forearm gestures on a voluntary basis. Nine subjects' selected movement datawere recorded using two sEMG and nine-axis attitude sensors. This paper used post-processing to optimize the features, which were then identified using K-Nearest Neighbor algorithms to increase recognition accuracy. The combination of the two, as well as post-processing, could improve the recognition effect with 96.2 ± 6.9% accuracy, which was a statistically significant difference from the other way. The proposed model couldbe employed as a user-independent movement classification, with these subjects being able to choose forearm movements independently. The proposed approach can potentially increase the adaptability of sEMG-based purpose recognition strategies and play a key role in popularizing manipulators or prosthetic control and recovery training.

Use of Surface Electromyography to Estimate End-Point Force in Redundant Systems: Comparison between Linear Approaches.

Estimation of the force exerted by muscles from their electromyographic (EMG) activity may be useful to control robotic devices. Approximating end-point forces as a linear combination of the activities of multiple muscles acting on a limb may lead to an inaccurate estimation because of the dependency between the EMG signals, i.e., multi-collinearity. This study compared the EMG-to-force mapping estimation performed with standard multiple linear regression and with three other algorithms designed to reduce different sources of the detrimental effects of multi-collinearity: Ridge Regression, which performs an L2 regularization through a penalty term; linear regression with constraints from foreknown anatomical boundaries, derived from a musculoskeletal model; linear regression of a reduced number of muscular degrees of freedom through the identification of muscle synergies. Two datasets, both collected during the exertion of submaximal isometric forces along multiple directions with the upper limb, were exploited. One included data collected across five sessions and the other during the simultaneous exertion of force and generation of different levels of co-contraction. The accuracy and consistency of the EMG-to-force mappings were assessed to determine the strengths and drawbacks of each algorithm. When applied to multiple sessions, Ridge Regression achieved higher accuracy (R2 = 0.70) but estimations based on muscle synergies were more consistent (differences between the pulling vectors of mappings extracted from different sessions: 67%). In contrast, the implementation of anatomical constraints was the best solution, both in terms of consistency (R2 = 0.64) and accuracy (74%), in the case of different co-contraction conditions. These results may be used for the selection of the mapping between EMG and force to be implemented in myoelectrically controlled robotic devices.

Virtual/Augmented Reality for Rehabilitation Applications Using Electromyography as Control/Biofeedback: Systematic Literature Review

Virtual reality (VR) and augmented reality (AR) are engaging interfaces that can be of benefit for rehabilitation therapy. However, they are still not widely used, and the use of surface electromyography (sEMG) signals is not established for them. Our goal is to explore whether there is a standardized protocol towards therapeutic applications since there are not many methodological reviews that focus on sEMG control/feedback. A systematic literature review using the PRISMA (preferred reporting items for systematic reviews and meta-analyses) methodology is conducted. A Boolean search in databases was performed applying inclusion/exclusion criteria; articles older than 5 years and repeated were excluded. A total of 393 articles were selected for screening, of which 66.15% were excluded, 131 records were eligible, 69.46% use neither VR/AR interfaces nor sEMG control; 40 articles remained. Categories are, application: neurological motor rehabilitation (70%), prosthesis training (30%); processing algorithm: artificial intelligence (40%), direct control (20%); hardware: Myo Armband (22.5%), Delsys (10%), proprietary (17.5%); VR/AR interface: training scene model (25%), videogame (47.5%), first-person (20%). Finally, applications are focused on motor neurorehabilitation after stroke/amputation; however, there is no consensus regarding signal processing or classification criteria. Future work should deal with proposing guidelines to standardize these technologies for their adoption in clinical practice.

Suicidal behavior among Iranian psychiatric patients

Introduction: Surface electromyography (sEMG) equipment technological advancements are opening more and more new options for the use of this technology in many medical areas and rehabilitation, including physiotherapy on land and in the water environment.Objective: The purpose of this study is to investigate the use of electromyography (EMG) wearable sensors in hydro-rehabilitation and to analyze the use of surface electromyography in the rehabilitation of various diseases on land and in the water environmentMethods: Studies were searched for on the Pub-Med, Science direct, and Google Scholar databases using the following descriptors: “sEMG rehabilitation”, “sEMG physiotherapy”, “surface electromyography physiotherapy”, “sEMG hydrotherapy”, resulting in 57,200 citations in total. After reviewing for inclusion criteria – methodological quality assessment using the Physiotherapy Evidence Database (PEDro) scale and consistency with the theme of systematic review – 152 studies remained in the analysis.Results: A total of 153 articles were found in 3 databases searched, only 30 were included and classified with good methodological quality by Pedro because they were related to surface electromyography, physiotherapy on land and hydrotherapy.Conclusion: The role of EMG sensors to measure muscle activity is extremely important for the physiotherapist to monitor and evaluate the clinical process and the effectiveness of hydro-rehabilitation as a treatment method. More research is needed in order to find a functional and reliable way of use.

Surface EMG-based quantification of inspiratory effort: a quantitative comparison with Pes

BackgroundInspiratory patient effort under assisted mechanical ventilation is an important quantity for assessing patient–ventilator interaction and recognizing over and under assistance. An established clinical standard is respiratory muscle pressure textit{P}_{mathrm{mus}}, derived from esophageal pressure (textit{P}_{mathrm{es}}), which requires the correct placement and calibration of an esophageal balloon catheter. Surface electromyography (sEMG) of the respiratory muscles represents a promising and straightforward alternative technique, enabling non-invasive monitoring of patient activity.MethodsA prospective observational study was conducted with patients under assisted mechanical ventilation, who were scheduled for elective bronchoscopy. Airway flow and pressure, esophageal/gastric pressures and sEMG of the diaphragm and intercostal muscles were recorded at four levels of pressure support ventilation. Patient efforts were quantified via the textit{P}_{mathrm{mus}}-time product ({mathrm{PTP}}_{mathrm{mus}}), the transdiaphragmatic pressure-time product ({mathrm{PTP}}_{mathrm{di}}) and the EMG-time products (ETP) of the two sEMG channels. To improve the signal-to-noise ratio, a method for automatically selecting the more informative of the sEMG channels was investigated. Correlation between ETP and {mathrm{PTP}}_{mathrm{mus}} was assessed by determining a neuromechanical conversion factor textit{K}_{mathrm{EMG}} between the two quantities. Moreover, it was investigated whether this scalar can be reliably determined from airway pressure during occlusion maneuvers, thus allowing to quantify inspiratory effort based solely on sEMG measurements.ResultsIn total, 62 patients with heterogeneous pulmonary diseases were enrolled in the study, 43 of which were included in the data analysis. The ETP of the two sEMG channels was well correlated with {mathrm{PTP}}_{mathrm{mus}} (textit{r}={0.79pm 0.25} and textit{r}={0.84pm 0.16} for diaphragm and intercostal recordings, respectively). The proposed automatic channel selection method improved correlation with {mathrm{PTP}}_{mathrm{mus}} (textit{r}={0.87pm 0.09}). The neuromechanical conversion factor obtained by fitting ETP to {mathrm{PTP}}_{mathrm{mus}} varied widely between patients (textit{K}_{mathrm{EMG}}= {4.32pm 3.73},{hbox {cm}hbox {H}_{2}hbox {O}/upmu hbox {V}}) and was highly correlated with the scalar determined during occlusions (textit{r}={0.95}, textit{p}<{.001}). The occlusion-based method for deriving {mathrm{PTP}}_{mathrm{mus}} from ETP showed a breath-wise deviation to {mathrm{PTP}}_{mathrm{mus}} of {0.43pm 1.73},{hbox {cm}hbox {H}_{2}hbox {O},hbox {s}} across all datasets.ConclusionThese results support the use of surface electromyography as a non-invasive alternative for monitoring breath-by-breath inspiratory effort of patients under assisted mechanical ventilation.

Classification of Knee Abnormality Using sEMG Signals with Boosting Ensemble Approaches

Knee problems, although increasing in the elderly, are one of the most important orthopedic problems that occur at any age and reduce the person's standard of living by making it difficult to move. In recent years, increasing in the use of surface Electromyography (sEMG) signals from muscles has highlighted the use of these signals in the detection of movement and movement disorders. In this study, sEMG signals, from patients with different knee abnormalities and healthy individuals, the muscles responsible for the bending (flexion) and stretching/extension (extension) movements of the knee (rectus femoris (RF), biceps femoris (FB), semitendinosus (ST), vastus medialis (VM)), recorded during gait, sitting, and standing were evaluated with some statistical-based features. Unlike the literature, the classification processes were alsoperformed for each muscle and each movement, and therefore the effect of the muscles on the classification performance was examined. The ensemble trees methods of Boosted and RUSboosted trees were used in the classification. The results show that the knee problem can be identified by using single muscle sEMG (RF) and single movement, with a performance about 92% for the movement of standing. The highest accuracy rate is obtained as 98.8% with Boosted Trees classifier for sitting by using all muscles sEMG signals.

Surface electromyography and gamification: Translational research to advance physical rehabilitation.

Many problems that fall in medical domains of inquiry have behavioral components that can be optimized to increase benefits for patients. For example, although surgical intervention is effective in reducing the pain resulting from osteoarthritis of the knee, patients often struggle to regain complete functional use of the joint. In this translational study, we point to some ways in which behavioral contingencies of reinforcement are compromised, making the recovery process more difficult. We also report on the use of surface electromyography (sEMG) with healthy participants to create supplementary contingencies of reinforcement to support the development and maintenance of clinically relevant exercises. The procedures reported provide a proof-of-concept and can contribute to an increase in the systematic use of games and feedback in physical rehabilitation in recovery from knee surgery. The results of this translational study suggest an expanded role for applied behavior analysis in the domains of health and medicine.

Inkjet-printed fully customizable and low-cost electrodes matrix for gesture recognition

The use of surface electromyography (sEMG) is rapidly spreading, from robotic prostheses and muscle computer interfaces to rehabilitation devices controlled by residual muscular activities. In this context, sEMG-based gesture recognition plays an enabling role in controlling prosthetics and devices in real-life settings. Our work aimed at developing a low-cost, print-and-play platform to acquire and analyse sEMG signals that can be arranged in a fully customized way, depending on the application and the users’ needs. We produced 8-channel sEMG matrices to measure the muscular activity of the forearm using innovative nanoparticle-based inks to print the sensors embedded into each matrix using a commercial inkjet printer. Then, we acquired the multi-channel sEMG data from 12 participants while repeatedly performing twelve standard finger movements (six extensions and six flexions). Our results showed that inkjet printing-based sEMG signals ensured significant similarity values across repetitions in every participant, a large enough difference between movements (dissimilarity index above 0.2), and an overall classification accuracy of 93–95% for flexion and extension, respectively.

Clinical Use of Surface Electromyography to Track Acute Upper Extremity Muscle Recovery after Stroke: A Descriptive Case Study of a Single Patient.

Arm recovery varies greatly among stroke survivors. Wearable surface electromyography (sEMG) sensors have been used to track recovery in research; however, sEMG is rarely used within acute and subacute clinical settings. The purpose of this case study was to describe the use of wireless sEMG sensors to examine changes in muscle activity during acute and subacute phases of stroke recovery, and understand the participant’s perceptions of sEMG monitoring. Beginning three days post-stroke, one stroke survivor wore five wireless sEMG sensors on his involved arm for three to four hours, every one to three days. Muscle activity was tracked during routine care in the acute setting through discharge from inpatient rehabilitation. Three- and eight-month follow-up sessions were completed in the community. Activity logs were completed each session, and a semi-structured interview occurred at the final session. The longitudinal monitoring of muscle and movement recovery in the clinic and community was feasible using sEMG sensors. The participant and medical team felt monitoring was unobtrusive, interesting, and motivating for recovery, but desired greater in-session feedback to inform rehabilitation. While barriers in equipment and signal quality still exist, capitalizing on wearable sensing technology in the clinic holds promise for enabling personalized stroke recovery.

Muscle activation time and free-throw effectiveness in basketball

This study attempts to analyze the relationship between free-throw efficiency and the time of arm muscle activation in players from 3 basketball teams with different levels of experience was investigated. During the experiment each player made 20 free throws during which the activation time of his right and left biceps and triceps brachii muscles were measured with the use of surface electromyography and high-speed cameras. Significant differences in muscle activation time (t) during a free throw were found between the groups of basketball players (p = 0.038) (novices: t = 0.664 ± 0.225 s, intermediate-level players: t = 1.15 ± 0.146 s, experts: t = 1.01 ± 0.388 s). In the right triceps brachii muscle in expert basketball players the coefficient of variation (CV) amounted to 44.60% at 81% efficiency, and in novices to 27.12% at 53% efficiency. The time of arm muscle activation during a free throw and its fluctuations vary along with the training experience of basketball players. In all studied groups of players, the variability of muscle activation time in accurate free throws is greater than in inaccurate free throws. Free-throw speed is irrelevant for free-throw efficiency.

Decoding of Ankle Joint Movements in Stroke Patients Using Surface Electromyography.

Stroke is a cerebrovascular disease (CVD), which results in hemiplegia, paralysis, or death. Conventionally, a stroke patient requires prolonged sessions with physical therapists for the recovery of motor function. Various home-based rehabilitative devices are also available for upper limbs and require minimal or no assistance from a physiotherapist. However, there is no clinically proven device available for functional recovery of a lower limb. In this study, we explored the potential use of surface electromyography (sEMG) as a controlling mechanism for the development of a home-based lower limb rehabilitative device for stroke patients. In this experiment, three channels of sEMG were used to record data from 11 stroke patients while performing ankle joint movements. The movements were then decoded from the sEMG data and their correlation with the level of motor impairment was investigated. The impairment level was quantified using the Fugl-Meyer Assessment (FMA) scale. During the analysis, Hudgins time-domain features were extracted and classified using linear discriminant analysis (LDA) and artificial neural network (ANN). On average, 63.86% ± 4.3% and 67.1% ± 7.9% of the movements were accurately classified in an offline analysis by LDA and ANN, respectively. We found that in both classifiers, some motions outperformed others (p < 0.001 for LDA and p = 0.014 for ANN). The Spearman correlation (ρ) was calculated between the FMA scores and classification accuracies. The results indicate that there is a moderately positive correlation (ρ = 0.75 for LDA and ρ = 0.55 for ANN) between the two of them. The findings of this study suggest that a home-based EMG system can be developed to provide customized therapy for the improvement of functional lower limb motion in stroke patients.

Quantification of abdominal and back muscles forces: calibration for the Sorensen test

In the human body, assessing muscle forces can be done using either experimental or mathematical approaches. The former often relies on the use of surface electromyography (EMG) measurements, altho...

A Survey on the Use and Barriers of Surface Electromyography in Neurorehabilitation.

Historical, educational, and technical barriers have been reported to limit the use of surface electromyography (sEMG) in clinical neurorehabilitation settings. In an attempt to identify, review, rank, and interpret potential factors that may play a role in this scenario, we gathered information on (1) current use of sEMG and its clinical potential; (2) professional figures primarily dealing with sEMG; (3) educational aspects, and (4) possible barriers and reasons for its apparently limited use in neurorehabilitation. To this aim, an online 30-question survey was sent to 52 experts on sEMG from diverse standpoints, backgrounds, and countries. Participants were asked to respond to each question on a 5-point Likert scale or by ranking items. A cut-off of 75% agreement was chosen as the consensus threshold. Thirty-five invitees (67%) completed the electronic survey. Consensus was reached for 77% of the proposed questions encompassing current trends in sEMG use in neurorehabilitation, educational, technical, and methodological features as well as its translational utility for clinicians and patients. Data evidenced the clinical utility of sEMG for patient assessment, to define the intervention plan, and to complement/optimize other methods used to quantify muscle and physical function. The aggregate opinion of the interviewed experts confirmed that sEMG is more frequently employed in technical/methodological than clinical research. Moreover, the slow dissemination of research findings and the lack of education on sEMG seem to prevent prompt transfer into practice. The findings of the present survey may contribute to the ongoing debate on the appropriateness and value of sEMG for neurorehabilitation professionals and its potential translation into clinical settings.

Surface Electromyography as a Method for Diagnosing Muscle Function in Patients with Congenital Maxillofacial Abnormalities.

Electromyography (EMG) is the most objective and reliable method available for imaging muscle function and efficiency, which is done by identifying their electrical potentials. In global surface electromyography (sEMG), surface electrodes are located on the surface of the skin, and it detects superimposed motor unit action potentials from many muscle fibers. sEMG is widely used in orthodontics and maxillofacial orthopaedics to diagnose and treat temporomandibular disorders (TMD) in patients, assess stomatognathic system dysfunctions in patients with malocclusions, and monitor orthodontic therapies. Information regarding muscle sEMG activity in subjects with congenital maxillofacial abnormalities is limited. For this reason, the aim of this review is to discuss the usefulness of surface electromyography as a method for diagnosing muscle function in patients with congenital malformations of the maxillofacial region. Original papers on this subject, published in English between 1995 until 2020, are located in the MEDLINE/PubMed database.

The usefulness of surface electromyography in rehabilitation and physiotherapy: systematic review

AbstractIntroduction: Technological developments in surface electro-myography (sEMG) equipment are providing more and more new opportunities in the application of this technique in different fields, not just in clinical medicine but also in physiotherapy. The purpose of this study is an educational review that provides examples of the clinical use of sEMG in rehabilitation and physiotherapy.Materials and methods: Studies were searched for on the Pub-Med and ScienceDirect databases using the following descriptors: “sEMG rehabilitation”, “sEMG physiotherapy”, “surface electro-myography physiotherapy”, “surface electromyography rehabilitation”, resulting in 28,040 citations in total. After reviewing for inclusion criteria – methodological quality assessment using the Physiotherapy Evidence Database (PEDro) scale and consistency with the theme of systematic review – 28,023 studies were removed from the analysis.Results: The qualified 14 works were divided into 4 categories depending on the sEMG application area: urogenital system dysfunction (322 patients, PEDro scale average rating of 6.33), central nervous system damage (120 patients, PEDro scale average rating of 6.6), lower back pain (181 patients, PEDro scale average rating of 5.33) and musculoskeletal disorders (244 patients, PEDro scale average rating of 6.66).Conclusions: The most recent examples of the use of sEMG in intervention studies in rehabilitation and physiotherapy in the last 5 years concerned neurology, urology, gynaecology, paediatrics, pulmonary medicine and orthopaedics.