Electromyography (EMG) data gives information about the electrical activity related to muscles. EMG obtained from arm through sensors helps understand hand gestures. For this work, gesture were taken UCI2019 dataset MYO thalmic armband classied with six dierent machine learning algorithms. Articial Neural Network (ANN), Support Vector Machine (SVM), k-Nearest Neighbor (k-NN), Naive Bayes (NB), ...

This study analyzes muscle activity, recorded in an eight-channel electromyographic (EMG) signal stream, during the golf swing using a 7-iron club and exploits information extracted from EMG dynamics to predict the success of the resulting shot. Muscles of the arm and shoulder on both the left and right sides, namely flexor carpi radialis, extensor digitorum communis, rhomboideus and trapezius,...

Task-specific tremors (TSTs) occur mainly during certain tasks and may be highly disabling. In this case study, we report on a 66-year-old violinist who developed a TST of the right arm only while playing the violin 4 weeks after a temporal lobectomy, which had been performed as a result of his temporal lobe epilepsy. Since a similar case, to our knowledge, has not been reported so far, our aim...

background: surface electromyography (semg) of muscles is a non-invasive tool that can be helpful in the assessment of muscle function and some motor control evaluations. a loss of force, known as muscle fatigue is accompanied by changes in muscle electrical activity. one of the most commonly used surface emg parameters which reflects paraspinal muscle fatigue during different tasks and positio...

EMG ISB 2015-174 A COMPARATIVE STUDY OF THE MUSCLE SYNERGY PATTERNS IN HEALTHY AND ACL-DEFICIENT SUBJECTS Gil Serrancolí* 1, Joan C Monllau2, 3, 4, Josep M Font-Llagunes5 1Department of Mechanical Engineering and Biomedical Engineering Research Centre, Universitat Politècnica de Catalunya, 2Department of Orthopaedic Surgery, Hospital del Mar, 3ICATME, Hospital Universitari Quirón-Dexeus, 4 Univ...