Revealing an Underlying Mechanism of Overuse Injuries
Combining Trigno EMG and Hand Dynamometry
Author: Katrina Gage
LibEMG: An open-source Python toolbox for myoelectric control
Key Takeaways 1 Myoelectric control systems provide control of an external device from the electrical signals captured by EMG. 2 LibEMG is an open-sourced Python library and resource geared towards […]
See what’s new in Trigno Discover 1.6.4
Various UI updates and bug fixes.
EMG-based prediction of human forearm movements
Key Takeaways 1 Myoelectrical signals from EMG can be used to create model-based predictions of limb movements and forces. 2 EMG has the ability to assist human movement through actuating […]
Teaching Resources for an Introduction to Electromyography (EMG)
Key Takeaways 1 EMG technology must be appropriately implemented and data must be carefully interpreted to receive optimal and reliable EMG results. 2 Education is essential to prevent misuse of […]
Applications of HDsEMG: An Array of Options
Key Takeaways 1 HDsEMG provides spatial analysis by giving insight into the recruitment and modulation of localized motor units within muscles. 2 Assessing regional activation patterns can improve our understanding […]
See what’s new in Trigno Discover 1.6.2
Support, HPF/CSV File Export, and more
Spinal Cord Stimulation for Stroke Rehabilitation
Key Takeaways 1 Stroke and spinal cord injuries can disrupt descending commands which can result in permanent motor deficits of the arm and hand. 2 EMG has been used to […]
The Benefits of Combining EMG and SmO2
Key Takeaways 1 The Moxy monitor is a device that measures muscle oxygenation levels (SmO2) using Near InfraRed Spectroscopy in real time. SmO2 can be used to analyze metabolic performance […]
The Benefits of Combining EMG and VO2
Key Takeaways 1 VO2 is the measure of aerobic capacity of muscles. It is commonly used to assess the fitness level, metabolic rates, and ventilatory thresholds of patients. 2 Combining […]
