Introduction: Single fiber ELECTROMYOGRAPHY (SFEMG) is the most efficient way of neuromuscular junction disorders diagnosis. By this method action potentials of two adjacent fibers from the same motor unit can be recorded by using a bipolar electrode after voluntary activation or electrical stimulation of the nerve. The variability of the interpotential interval (IPI) between two single muscle fiber action potentials belonging to the same motor unit during successive discharge is referred to JITTER, that is expressed by the mean value of consecutive difference (MCD) quantity.The fiber density of each motor unit is also measure by same electrode.Material and Method: In this study that was carried out on 25 patients referred to mashhad ghaem Hospital with suspected diagnosis of myasthenia gravis (MG), SFEMG Test accomplished by voluntary contraction of extensor digitorum communis (EDC) and frontalis muscles. tensilon test and repetetive stimulation test (RST) was done simultaneously.Result: 10 patients (40%) had generalized, 5 patients (20%) had bulbar and 10 patients (40%) had ocular symptoms of myasthenia gravis. SFEMG results in 3 patients, suspected to ocular form, was negative. In these patients, myasthenia was also excluded in later evaluationes. SFEMG test was positive in the other patients (100%).Conclusion: These results suggest that SFEMG for the diagnosis of myasthenia gravis, especially ocular type has more sensitivity and higher reliability than the other diagnostic methodes.It has not yet been feasible to use SFEMG as routine test for diagnosis of myasthenia gravis disease when other diagnostic tests were positive specially in generalized form, considering it is time consuming, costly and not having enough experience.

Background and Objectives: The proliferation of computers, along with the development of software and the Internet, has revolutionized the work and life of people with disabilities, including those with spinal cord injuries with limited mobility in the arms. The efficiency and usability of the aids provided to these people is very important; because they have more limitations than ordinary people. The purpose of this study was to compare the efficiency and usability of human-computer interface in cervical spinal cord injury with two biofeedback EMG methods based on computer games and without computer games. Methods: The sample size was 20 participants (healthy and with spinal cervical lesions) who were selected regarding availability. The statistical population of the study (that was conducted 2019-2020) was spinal cord injury patients referred to spinal cord injury clinic in Tehran. Participants received three 30-minute sessions per week for 1 month of EMG biofeedback training and game-based biofeedback interventions. SPSS version 23 was used for data analysis. Results: Results showed that participants considered using EMG biofeedback and game biofeedback as 75/8% and 72/0% usability. Over time, the “ through put” numerical values of the variable decreased in healthy individuals and spinal cord injury. Also, the numerical values of this variable were lower in healthy individuals than in individuals with spinal cord injuries. The maximum reduction in numerical values of the “ through put” variable appeared between the first and sixth sessions. Conclusion: The EMG and gaming biofeedback system can be used for interaction and control such as computers, wheelchairs, and more.

Background and Aim: The purpose of this review was to provide an overview of the use of ELECTROMYOGRAPHY (EMG) in dentistry over the past several years, as well as related research. EMG is a sophisticated technique used to detect and analyze muscle activity. EMG was primarily utilized in medical sciences in the past, but it is now widely utilized in both the medical and dental fields. Materials and Methods: Electronic search was conducted in EMBASE, PubMed, Scopus, Web of Science, and Google Scholar to find all clinical studies regarding applications of EMG in dentistry. Results: This review included 31 papers in all. According to the results, neuromuscular activity may be recorded using EMG for both diagnostic and therapeutic purposes. It could be used in dentistry to evaluate parafunctional habits such as clenching and bruxism as well as muscle activation during actions like chewing and biting. In recent years, the use of EMG in treatment of temporomandibular joint (TMJ) and myofascial pain disorders has significantly increased. Conclusion: EMG has a variety of applications in dentistry for monitoring, diagnostic, and therapeutic purposes.

Background and Aim: The present study aimed to use the median nerve Compound Muscle Action Potential (CMAP) amplitude by stimulation at the palm instead of Abductor Pollicis Brevis (APB) needle ELECTROMYOGRAPHY (EMG) for determining axonal loss in patients with Carpal Tunnel Syndrome (CTS). Methods and Materials/Patients: This study was performed on 180 patients with CTS referred to the Electrodiagnostic (EDX) Center, Poursina Hospital, Guilan Province, Iran, in 2018-19. In this study, the APB needle EMG diagnostic test was used as the gold standard, and median nerve CMAP amplitude with stimulation at the palm and wrist were used to compare the two nerve stimulation tests. Results: All of the cases with abnormal amplitude loss detected by median nerve stimulation at the palm also had an axonal loss in the needle EMG of APB. So this test could be a good indicator of axonal loss if there is an abnormality (sensitivity: 73%, specificity: 100%). The results with wrist stimulation were not as accurate as of the palm stimulation, and some cases with decreased CMAP amplitude of median nerve had normal needle EMG of APB muscle (sensitivity: 86. 6%, specificity: 94. 9%). Conclusion: In cases with CTS, the abnormally decreased amplitude of the median nerve detected by stimulation at the palm could be a good indicator of axonal loss.

Most daily activities need using hands and fingers dexterously. Hand prostheses in disabled people can be controlled using surface ELECTROMYOGRAPHY (sEMG) signals acquired non-invasively by means of surface electrodes connected to superior limbs. After preprocessing 12 electrodes sEMG signals acquired from 10 amputees, different features in time and frequency domains were computed. Considering sEMG as a complex, random, non-stationary, and nonlinear signal a complex nonlinear feature was also extracted by the method of multifractal detrended fluctuation analysis (MFDFA). Different classification methods including support vector machine (SVM), linear discriminant analysis (LDA), and Multi-Layer Perceptron (MLP) were used to compare their performance in the classification of eight different finger movements. It was observed that the SVM performed better than the two other classifiers in finger movement classification. The best classification accuracy, precision, and recall (sensitivity), by the fusion of the new and traditional features were 98.70%, 98.74%, and 98.67%, respectively. Results showed that addition of the new feature extracted by MFDFA and other traditional features was effective in improving the data acquisitions.

Purpose: ELECTROMYOGRAPHY of the muscle may provide information about the Amount of calf muscle activation in patients with shin splints. Therefore, the aim of the current study was to investigate the effect of calf muscle ELECTROMYOGRAPHY in male athletes with and without shin splints. Methods: Thirty physical education students were recruited for this study. The ELECTROMYOGRAPHY of the tibialis anterior and gastrocnemius (internal and external) muscles was measured by Biovision ELECTROMYOGRAPHY in dorsiflexion and plantar flexion position, respectively. Statistical analysis was done by independent t-test at a significant level of p≤ 0. 05. Results: No significant difference was found between two groups in the ELECTROMYOGRAPHY of tibialis anterior (p=0. 054), medial gastrocnemius (p=0. 07) and lateral gastrocnemius (p=0. 11). However, significant difference was observed in electrical activity ratio of tibialis anterior to gastrocnemius between groups (p=0. 01). Conclusion: The results of this study showed that imbalance between tibialis anterior and gastrocnemius muscles may be the cause of shin splints. Therefore, it is possible that the patients can train without pain by rebalancing between these muscles.